CN112417917A - Value-added tax invoice checking and deducting method and system - Google Patents
Value-added tax invoice checking and deducting method and system Download PDFInfo
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- CN112417917A CN112417917A CN202011134006.XA CN202011134006A CN112417917A CN 112417917 A CN112417917 A CN 112417917A CN 202011134006 A CN202011134006 A CN 202011134006A CN 112417917 A CN112417917 A CN 112417917A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q30/04—Billing or invoicing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
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- G—PHYSICS
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- G06V30/10—Character recognition
Abstract
The invention provides a value-added tax invoice checking and deducting method and system. The method and the system can accurately carry out automatic checking work on the received invoices, improve the working efficiency of financial staff of an enterprise, reduce the risk of manual operation errors and save the labor cost of the enterprise.
Description
Technical Field
The invention relates to the field of tax, in particular to a value-added tax invoice checking and deducting method and system.
Background
With the appearance of the value-added tax invoice comprehensive management platform, a free checking and deducting mode is provided for general taxpayers, but for general taxpayers with large input ticket volumes, a plurality of inconveniences still exist in the mode of manually checking and importing the excel file for checking. According to the habit of financial staff, the deduction and check work can be carried out after receiving the incoming invoice, but the required invoice is difficult to select from a large amount of invoice electronic information. Therefore, a technology is needed to automatically check and withhold the value-added tax invoice, so that the purposes of saving manpower and improving the value-added tax withhold efficiency are achieved.
Disclosure of Invention
In order to solve the technical problem that in the prior art, after a financial worker receives a value-added tax entry invoice, selecting a withheld invoice from a large amount of invoice information and checking and withholding the withheld invoice are difficult, the invention provides a value-added tax invoice checking and withholding method, which comprises the following steps:
collecting paper value-added tax invoices to be deducted, and generating first invoice data based on the paper value-added tax invoices;
collecting a format file of an electronic value-added tax invoice to be deducted, and generating second invoice data according to the format file;
downloading the existing value-added tax invoice data from the tax bureau system and storing the data as third invoice data;
according to a preset checking rule, checking a second group of data based on a first group of data to determine to-be-checked and withheld invoice data in the second group of data, wherein the first group of data comprises third invoice data and a pre-established invoice information table, and the second group of data comprises first invoice data and second invoice data;
and submitting the data of the invoice to be checked and withheld to a tax bureau system, and feeding back the abnormal information of the invoice not checked and withheld to the invoicing party.
Further, the collecting paper value-added tax invoices to be deducted and generating first invoice data based on the paper value-added tax invoices comprises:
converting the paper value-added tax invoice into an image by adopting equipment with a scanning or photographing function, and generating first invoice data by using an OCR (optical character recognition) technology; and/or
The method comprises the steps of directly scanning and identifying the two-dimensional code on the paper value-added tax invoice through the scanning function of a program installed in a scanning gun or mobile equipment, and generating first invoice data according to the content in the two-dimensional code based on an issuing two-dimensional code analysis technology, wherein the first invoice data comprises invoice types, invoice codes, invoice numbers, issuing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount of money and tax amount.
Further, the collecting the electronic value-added tax invoice format file to be deducted and generating second invoice data according to the format file comprises:
acquiring an electronic format file stored in a local client side, and/or downloading the electronic format file from a server side by setting a remote storage path at the server side;
and analyzing the downloaded electronic format file to generate second invoice data, wherein the second invoice data comprises invoice types, invoice codes, invoice numbers, invoicing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount and tax amount.
Further, the downloading of the existing value-added tax invoice data from the tax office system and the storing of the existing value-added tax invoice data as third invoice data includes:
acquiring the existing value-added tax invoice data from the webpage data of the tax bureau system by using a channel service, and storing the data as third invoice data; and/or
And downloading invoice data from an existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
Further, according to a preset inspection rule, inspecting a second group of data based on the first group of data, and determining to-be-checked deduction invoice data in the second group of data comprises:
checking the state of the invoices in the second group of data according to the invoice state, the management state and the invoice mark in the third invoice data, taking the invoice data checked in the second group of data as a third group of data, setting the risk level of the invoices which are not checked in the second group of data as a risk level, setting the risk type as abnormal invoice state, and finishing checking after the monitoring state is monitoring;
inquiring the organization name, the tax number, the address telephone and the information of an opening bank of a tax payment subject corresponding to a pre-established tax payment subject information table according to the tax payment number in the third group of data, comparing the organization name, the tax number, the address telephone and the information of the opening bank of the tax payment subject with corresponding information in the third group of data, taking invoice data with all consistent comparison results in the third group of data as fourth group of data, setting a risk grade as a risk grade for any invoice with inconsistent comparison results in the third group of data, setting the risk type as inconsistent comparison of the buyer, and finishing inspection after monitoring the state;
completely matching each commodity itemized line commodity abbreviation in the fourth group of data with a commodity abbreviation in pre-established risk commodity setting, carrying out fuzzy matching on each commodity itemized line commodity name in the fourth group of data with a commodity name in pre-established risk commodity setting, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in a risk commodity setting table for the commodities which are matched consistently, taking invoice data of which the risk grade of the commodity in the fourth group of data is non-risk grade as fifth group invoice data, setting the risk grade of invoices, except the fifth group invoice data, in the fourth group of data as risk grade, comparing the risk types of the invoices, and finishing inspection after monitoring, wherein the monitoring state is monitoring, and the risk grade of the commodity comprises risk grade, early warning grade and normal;
matching the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk provider setting table, determining the risk level of the provider in the fifth group of data according to the risk level of the corresponding provider in the risk provider setting table for the provider with consistent matching, taking the invoice data of which the risk level of the provider in the fifth group of data is a non-risk level as a sixth group of invoice data, setting the risk level of invoices, except the sixth group of invoice data, in the fifth group of data as a risk level, wherein the risk level of the commodity comprises a risk level, an early warning level and a normal state, and the risk type is a risk provider, and the monitoring state is that the examination is finished later in the monitoring process;
according to the set invoice date range and invoice serial number checking rule, for invoice data in the sixth group of data, searching a serial number invoice in a pre-established invoice receipt table based on an invoice code and an invoice number, storing the invoice data with the search result of the invoice serial number into the invoice serial number table, and setting the risk level of the invoice as an early warning level, the risk type as the invoice serial number and the monitoring state as in monitoring;
for invoice data in the sixth group of data, calculating the number of invoice expiration days based on the invoicing date of the invoice and the current date during checking, and when the calculation result is greater than or equal to the preset invoice of the invoice expiration days, setting the risk level as an early warning level, the risk type as an expiration reminder, and the monitoring state as in monitoring;
and taking the sixth group of data subjected to invoice serial number inspection and invoice expiration days inspection as invoice data to be subjected to check deduction for automatic check.
According to another aspect of the present invention, the present invention provides a value-added tax invoice checking and deducting system, comprising:
the first data unit is used for collecting paper value-added tax invoices to be deducted and generating first invoice data based on the paper value-added tax invoices;
the second data unit is used for collecting the format file of the electronic value-added tax invoice to be deducted and generating second invoice data according to the format file;
the third data unit is used for downloading the existing value-added tax invoice data from the tax bureau system and storing the data as third invoice data;
the invoice checking unit is used for checking a second group of data based on a first group of data according to a preset checking rule and determining to-be-checked withholding invoice data in the second group of data, wherein the first group of data comprises third invoice data and a pre-established invoice information table, and the second group of data comprises first invoice data and second invoice data;
and the invoice deduction unit is used for submitting the data of the invoice to be checked and deducted to a tax bureau system and feeding back the abnormal information of the invoice not checked and deducted to the invoicing party.
Further, the first data unit includes:
the first processing unit is used for converting the paper value-added tax invoice into an image by adopting equipment with a scanning or photographing function and generating first invoice data by an OCR (optical character recognition) technology;
and the second processing unit is used for directly scanning and identifying the two-dimensional code on the paper value-added tax invoice through a scanning function of a program installed in a scanning gun or mobile equipment, and generating first invoice data according to the content in the two-dimensional code based on an open-source two-dimensional code analysis technology, wherein the first invoice data comprises invoice types, invoice codes, invoice numbers, invoice dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount and tax amount.
Further, the second data unit includes:
the data acquisition unit is used for acquiring the electronic format file stored by the local client side and/or downloading the electronic format file from the server side by setting a far-end storage path at the server side;
and the data analysis unit is used for analyzing the downloaded electronic format file to generate second invoice data, and the second invoice data comprises invoice types, invoice codes, invoice numbers, invoicing dates, seller names, seller tax numbers, buyer tax numbers, commodity details, authentication period, amount and tax amount.
Further, the third data unit includes:
the first acquisition unit is used for acquiring the existing value-added tax invoice data from the webpage data of the tax bureau system by using the channel service and storing the existing value-added tax invoice data as third invoice data;
and the second acquisition unit is used for downloading the invoice data from the existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
Further, the invoice verification unit includes:
the state query unit is used for checking the state of the invoices in the second group of data according to the invoice state, the management state and the invoice mark in the third invoice data, taking the invoice data checked in the second group of data as a third group of data, setting the risk level of the invoices which are not checked in the second group of data as a risk level, setting the risk type as abnormal invoice state, and finishing checking after the monitoring state is in monitoring;
the buyer checking unit is used for inquiring the organization name, the tax number, the address telephone and the account opening information of the tax payment subject corresponding to the tax payment subject information table established in advance according to the tax payment number in the third group of data, comparing the organization name, the tax payment number, the address telephone and the account opening information with corresponding information in the third group of data, taking the invoice data with all consistent comparison results in the third group of data as the fourth group of data, setting the risk grade as the risk grade for any invoice with inconsistent comparison results in the third group of data, setting the risk type as the comparison inconsistency of the buyer and finishing checking after monitoring;
the commodity checking unit is used for completely matching the commodity abbreviation in each commodity detail line in the fourth group of data with the commodity abbreviation in the pre-established risk commodity setting, and fuzzy matching is carried out on the commodity names of the detail lines of each commodity in the fourth group of data and the commodity names in the pre-established risk commodity setting, for the commodities which are matched consistently, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in the risk commodity setting table, taking invoice data of which the risk grade of the commodity in the fourth group of data is a non-risk grade as fifth group of invoice data, setting risk grades as risk grades for invoices in the fourth group of data except for the fifth group of invoice data, setting the risk types as comparison inconsistency of purchasing parties, and finishing inspection after monitoring in a monitoring state, wherein the risk grades of the commodities comprise the risk grade, the early warning grade and normal;
the supplier inspection unit is used for matching the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk supplier setting table, determining the risk level of the supplier in the fifth group of data according to the risk level of the corresponding supplier in the risk supplier setting table for the suppliers with consistent matching, taking the invoice data of which the risk level of the supplier in the fifth group of data is a non-risk level as a sixth group of invoice data, setting the risk level of the invoices, except the sixth group of invoice data, in the fifth group of data as a risk level, setting the risk type as a risk provider, and finishing inspection after monitoring the monitoring state, wherein the risk level of the commodity comprises a risk level, an early warning level and a normal state;
the continuous number checking unit is used for searching continuous number invoices in a pre-established invoice receipt table according to the set invoice date range and invoice continuous number checking rules for invoice data in the sixth group of data based on invoice codes and invoice numbers, storing the invoice data with the search result of the invoice continuous number into the invoice continuous number table, and setting the risk level of the invoice as an early warning level, the risk type as the invoice continuous number and the monitoring state as monitoring;
the overdue checking unit is used for calculating the number of overdue days of the invoice based on the invoicing date of the invoice and the current date during checking for the invoice data in the sixth group of data, and when the calculation result is larger than or equal to the preset invoice with the number of the overdue days of the invoice, the risk grade is set as an early warning grade, the risk type is overdue reminding, and the monitoring state is in monitoring;
and the invoice checking unit is used for automatically checking the sixth group of data which is subjected to invoice serial number checking and invoice expiration days checking and serves as invoice data to be checked and withheld.
The value-added tax invoice checking and deducting method and the system provided by the technical scheme of the invention can accurately automatically check the received invoice, improve the working efficiency of financial staff of an enterprise, reduce the risk of manual operation errors and save the labor cost of the enterprise by analyzing the collected information of the paper invoice and the electronic invoice into invoice data through various identification means and then comparing the invoice data with data downloaded from a tax bureau system and data in various pre-established checking tables layer by layer to screen out the invoice which is qualified for checking and deducting.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a value-added tax invoice checking and deduction method according to a preferred embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a value-added tax invoice checking and deducting system according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of a first processing unit for generating first invoice data using a scanner in accordance with a preferred embodiment of the present invention;
fig. 4 is a schematic diagram of a second processing unit for generating first invoice data using a scan gun in accordance with a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a value-added tax invoice checking and deducting method according to a preferred embodiment of the present invention. As shown in fig. 1, the value-added tax invoice checking and deducting method 100 according to the preferred embodiment starts from step 101.
In step 101, a paper value-added tax invoice to be deducted is collected, and first invoice data is generated based on the paper value-added tax invoice.
In step 102, a format file of the electronic value-added tax invoice to be deducted is collected, and second invoice data is generated according to the format file.
In step 103, the existing value-added tax invoice data is downloaded from the tax bureau system and saved as the third invoice data.
In step 104, according to a preset checking rule, checking a second group of data based on a first group of data, and determining to-be-checked withholding invoice data in the second group of data, wherein the first group of data comprises third invoice data and a pre-established invoice information table, and the second group of data comprises first invoice data and second invoice data.
In step 105, the data of the invoice to be checked and withheld is submitted to a tax bureau system, and the abnormal information of the invoice not checked and withheld is fed back to the invoicing party.
Preferably, the collecting the paper value-added tax invoice to be deducted, and generating the first invoice data based on the paper value-added tax invoice comprises:
converting the paper value-added tax invoice into an image by adopting equipment with a scanning or photographing function, and generating first invoice data by using an OCR (optical character recognition) technology; and/or
The method comprises the steps of directly scanning and identifying the two-dimensional code on the paper value-added tax invoice through the scanning function of a program installed in a scanning gun or mobile equipment, and generating first invoice data according to the content in the two-dimensional code based on an issuing two-dimensional code analysis technology, wherein the first invoice data comprises invoice types, invoice codes, invoice numbers, issuing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount of money and tax amount.
Preferably, the collecting the electronic value-added tax invoice format file to be deducted and generating the second invoice data according to the format file comprises:
acquiring an electronic format file stored in a local client side, and/or downloading the electronic format file from a server side by setting a remote storage path at the server side;
and analyzing the downloaded electronic format file to generate second invoice data, wherein the second invoice data comprises invoice types, invoice codes, invoice numbers, invoicing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount and tax amount.
The first invoice data and the second invoice data restore the contents in the two-dimensional codes into unencrypted electronic character strings through the two-dimensional code analysis technology of the invoicing source, and the data item information separated by commas respectively represents all information allowed to be collected on the electronic invoices, such as invoice types, invoice codes, invoice numbers, invoicing dates, commodity details, taxes, version numbers, check codes and the like.
Preferably, the downloading of the existing value-added tax invoice data from the tax office system and storing the existing value-added tax invoice data as the third invoice data includes:
acquiring the existing value-added tax invoice data from the webpage data of the tax bureau system by using a channel service, and storing the data as third invoice data; and/or
And downloading invoice data from an existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
Preferably, according to a preset inspection rule, the second group of data is inspected based on the first group of data, and the determining of the to-be-checked deduction invoice data in the second group of data comprises:
checking the state of the invoices in the second group of data according to the invoice state, the management state and the invoice mark in the third invoice data, taking the invoice data checked in the second group of data as a third group of data, setting the risk level of the invoices which are not checked in the second group of data as a risk level, setting the risk type as abnormal invoice state, and finishing checking after the monitoring state is monitoring;
inquiring the organization name, the tax number, the address telephone and the information of an opening bank of a tax payment subject corresponding to a pre-established tax payment subject information table according to the tax payment number in the third group of data, comparing the organization name, the tax number, the address telephone and the information of the opening bank of the tax payment subject with corresponding information in the third group of data, taking invoice data with all consistent comparison results in the third group of data as fourth group of data, setting a risk grade as a risk grade for any invoice with inconsistent comparison results in the third group of data, setting the risk type as inconsistent comparison of the buyer, and finishing inspection after monitoring the state;
completely matching each commodity itemized line commodity abbreviation in the fourth group of data with a commodity abbreviation in pre-established risk commodity setting, carrying out fuzzy matching on each commodity itemized line commodity name in the fourth group of data with a commodity name in pre-established risk commodity setting, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in a risk commodity setting table for the commodities which are matched consistently, taking invoice data of which the risk grade of the commodity in the fourth group of data is non-risk grade as fifth group invoice data, setting the risk grade of invoices, except the fifth group invoice data, in the fourth group of data as risk grade, comparing the risk types of the invoices, and finishing inspection after monitoring, wherein the monitoring state is monitoring, and the risk grade of the commodity comprises risk grade, early warning grade and normal;
matching the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk provider setting table, determining the risk level of the provider in the fifth group of data according to the risk level of the corresponding provider in the risk provider setting table for the provider with consistent matching, taking the invoice data of which the risk level of the provider in the fifth group of data is a non-risk level as a sixth group of invoice data, setting the risk level of invoices, except the sixth group of invoice data, in the fifth group of data as a risk level, wherein the risk level of the commodity comprises a risk level, an early warning level and a normal state, and the risk type is a risk provider, and the monitoring state is that the examination is finished later in the monitoring process;
according to the set invoice date range and invoice serial number checking rule, for invoice data in the sixth group of data, searching a serial number invoice in a pre-established invoice receipt table based on an invoice code and an invoice number, storing the invoice data with the search result of the invoice serial number into the invoice serial number table, and setting the risk level of the invoice as an early warning level, the risk type as the invoice serial number and the monitoring state as in monitoring;
for invoice data in the sixth group of data, calculating the number of invoice expiration days based on the invoicing date of the invoice and the current date during checking, and when the calculation result is greater than or equal to the preset invoice of the invoice expiration days, setting the risk level as an early warning level, the risk type as an expiration reminder, and the monitoring state as in monitoring;
and taking the sixth group of data subjected to invoice serial number inspection and invoice expiration days inspection as invoice data to be subjected to check deduction for automatic check.
The preferred embodiment provides a flow for realizing the examination and automatic check of the incoming invoices. The invoice is checked and automatically selected into six items according to the processing sequence as follows:
real-time examination of abnormal invoice status
(1) The invoice of 'special increment, special power supply, motor vehicle and value-added tax electronic common invoice (toll)' relates and inquires the invoice state and the management state in an underlying account table (a table formed by third invoice data), and when the invoice state is abnormal or the management state is abnormal, the check is failed;
(2) when the returned result of the check is 'with a revocation mark' or 'the value-added tax electronic general invoice (toll) mark is not deducible', the check is failed;
when the inspection is not passed, setting the risk level of the failed invoice as a risk level, setting the risk type as abnormal invoice state, and when the monitoring state is monitoring, not continuing other inspections, and ending the inspection process;
and continuing the subsequent flow for the invoice passing the inspection.
"Purchase information comparison" real-time inspection
(1) Checking 'value added special, special electric, motor vehicle, value added tax electronic general invoice (toll)' according to the value added tax special invoice comparison rule, inquiring and comparing organization name, tax number, address telephone and account opening bank information set in the corresponding tax payment main body by using a purchasing side tax number, wherein the condition that one comparison inconsistent item exists is that the checking fails;
(2) the other invoice types are checked according to the value-added tax common invoice comparison rule, the mechanism name, the tax number, the address telephone and the account opening bank information which are set in the corresponding tax payment main body are inquired by using the purchasing tax number for comparison, and the condition that one item with inconsistent comparison exists is the check failure;
when the inspection fails, setting the risk grade of the failed invoice as the risk grade, setting the risk type as that the comparison of the purchasing parties is not consistent, and setting the monitoring state as the monitoring state, not continuing to perform other inspections and ending the inspection flow;
checking the passed invoice and continuing the subsequent process.
Real-time inspection of "risky goods
(1) The commodities of each detail line of the invoice to be inspected are called for short, complete matching is carried out in the risk commodity setting table, and the risk grade of the commodity called for short in the risk commodity setting table is filled in the risk mark of the detail line corresponding to the invoice detail table;
(2) fuzzy matching is carried out on the commodity names of the detail lines of the examination invoice in the risk commodity setting table, if the fuzzy matching is carried out, the risk grade of the commodity name in the risk commodity setting table is filled in the risk mark of the detail line corresponding to the examination invoice detail table, and when the risk mark exists, the risk grade mark is preferentially stored;
in the two situations, as long as one risk mark is marked, the condition that the ticket is not checked can be judged, the highest risk level (risk > early warning > normal) is taken to set the risk level of the whole ticket, the risk type is risk commodity, and the monitoring state is in monitoring. The invoices with the risk level as the risk level are not continuously checked for other times, and the checking process is ended;
and (5) checking the invoice passing or with the risk grade being the early warning grade, and continuing the subsequent process.
Real-time inspection of "risk providers
And completely matching the checked invoice sales tax number in a risk provider setting table, if the invoice sales tax number is matched with the invoice sales tax number, setting the risk level of the checked invoice according to the risk level in the risk provider setting table, updating the risk level of the checked invoice when the risk level in the setting table is higher than the existing risk level of the checked invoice (risk > early warning > normal), adding the risk type of the invoice which is the risk provider into the risk type, and monitoring the state of the invoice in a monitoring mode.
When the invoice checked risk level is the risk level, other checking is not continued, and the checking process is ended; and when the inspected invoice passes inspection or the risk level is an early warning level, continuing the subsequent flow.
Real-time checking of invoice serial number
Searching invoices with the same code as the invoices passing through the real-time checking process of the risk provider, wherein the first 7 digits of the invoice number are the same, checking the passed invoices within a preset range on the invoicing date, and judging the invoice number to be an invoice serial number if the retrieval result is more than 1; and judging whether invoices at the end of 0 or 9 exist in the retrieval result, continuously checking whether invoices with continuous numbers exist in the 10 numbers before the invoice number at the end of 0 or in the 10 numbers after the invoice number at the position of 9 when the invoices with continuous numbers exist, storing the moved invoices, which are judged as invoice continuous numbers in the query result, into an invoice continuous number table (checking invoice codes, numbers, continuous number code fields and the like), setting the invoice risk level as an early warning level, adding the invoice continuous numbers as the risk types into the risk types, and continuously performing a subsequent checking process after the monitoring state is monitoring.
"remind of expiry" real-time inspection
And calculating the invoicing date of the invoice checked through the invoice serial number by taking the number of the overdue days set in the overdue early warning rule, wherein the invoice with the invoice invoicing date subtracted from the current time of the system and the number of the overdue days more than or equal to the number of the overdue days is the non-checked invoice.
Setting the risk grade of the invoices which are not checked as the early warning grade, adding the invoice which is not checked as the early warning grade into the risk type by reminding the overdue risk type, and automatically checking the invoices which are not checked after the monitoring state is in the monitoring process.
Fig. 2 is a schematic structural diagram of a value-added tax invoice checking and deducting system according to a preferred embodiment of the invention. As shown in fig. 2, the value-added tax invoice checking and deducting system 200 according to the preferred embodiment includes:
the first data unit 201 is used for collecting paper value-added tax invoices to be deducted and generating first invoice data based on the paper value-added tax invoices.
The second data unit 202 is configured to collect a format file of the electronic value-added tax invoice to be deducted, and generate second invoice data according to the format file.
And a third data unit 203 for downloading the existing value-added tax invoice data from the tax bureau system and storing the data as third invoice data.
The invoice checking unit 204 is configured to check a second group of data based on a first group of data according to a preset checking rule, and determine to-be-checked and withheld invoice data in the second group of data, where the first group of data includes third invoice data and a pre-established invoice information table, and the second group of data includes first invoice data and second invoice data.
And the invoice deduction unit 205 is used for submitting the data of the invoice to be checked and deducted to a tax bureau system and feeding back the abnormal information of the invoice not checked and deducted to the invoicing party.
Preferably, the first data unit 201 includes:
and the first processing unit 211 is configured to convert the paper value-added tax invoice into an image by using a device with a scanning or photographing function, and generate first invoice data by using an OCR technology.
Fig. 3 is a schematic diagram of a first processing unit for generating first invoice data using a scanner according to a preferred embodiment of the invention. As shown in fig. 3, in the deduction system, the invoice can be scanned and checked by selecting the scanner setting.
And the second processing unit 212 is configured to directly scan and identify the two-dimensional code on the paper value-added tax invoice through a scanning function of a program installed in a scanning gun or a mobile device, and generate first invoice data according to content in the two-dimensional code based on an open-source two-dimensional code analysis technology, where the first invoice data includes invoice type, invoice code, invoice number, invoice date, name of seller, tax number of buyer, commodity details, authentication period, amount of money, and tax amount.
Fig. 4 is a schematic diagram of a second processing unit for generating first invoice data using a scan gun in accordance with a preferred embodiment of the present invention. As shown in fig. 4, in the deduction system, the invoice data can be identified by selectively aligning the scanning gun to the two-dimensional code on the invoice and scanning the code.
Preferably, the second data unit 202 comprises:
the data acquisition unit 221 is configured to acquire an electronic layout file stored in a local client, and/or download the electronic layout file from a server by setting a remote storage path at the server;
and a data analysis unit 222, configured to analyze the downloaded electronic format file to generate second invoice data, where the second invoice data includes an invoice type, an invoice code, an invoice number, an invoicing date, a seller name, a seller tax number, a purchaser tax number, a commodity statement, an authentication term, an amount of money, and a tax amount.
Preferably, the third data unit 203 comprises:
a first obtaining unit 231, configured to obtain existing value-added tax invoice data from the webpage data of the tax bureau system by using a channel service, and store the existing value-added tax invoice data as third invoice data;
and a second obtaining unit 232 for downloading the invoice data from the existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
Preferably, the invoice verification unit 204 includes:
the state query unit 241 is configured to check the state of the invoices in the second group of data according to the invoice state, the management state and the invoice flag in the third invoice data, use the invoice data checked in the second group of data as a third group of data, set a risk level as a risk level for the invoices which are not checked in the second group of data, set the risk type as an invoice state exception, and end checking after the monitoring state is in monitoring;
the buyer checking unit 242 is configured to query the institution name, tax number, address phone number and account opening information of the tax payment subject corresponding to the tax payment subject information table established in advance according to the buyer tax number in the third group of data, compare the institution name, tax number, address phone number and account opening information with corresponding information in the third group of data, use invoice data with all comparison results in the third group of data consistent as the fourth group of data, set a risk level as a risk level for an invoice with any comparison result in the third group of data inconsistent, set the risk type as a buyer comparison inconsistent, and end checking after monitoring;
a commodity checking unit 243, for matching the commodity abbreviation in each commodity detail line in the fourth group data with the commodity abbreviation in the pre-established risk commodity setting, and fuzzy matching is carried out on the commodity names of the detail lines of each commodity in the fourth group of data and the commodity names in the pre-established risk commodity setting, for the commodities which are matched consistently, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in the risk commodity setting table, taking invoice data of which the risk grade of the commodity in the fourth group of data is a non-risk grade as fifth group of invoice data, setting risk grades as risk grades for invoices in the fourth group of data except for the fifth group of invoice data, setting the risk types as comparison inconsistency of purchasing parties, and finishing inspection after monitoring in a monitoring state, wherein the risk grades of the commodities comprise the risk grade, the early warning grade and normal;
the supplier checking unit 244 is configured to match the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk supplier setting table, determine, for a supplier with a consistent match, a risk level of the supplier in the fifth group of data according to a risk level of a corresponding supplier in the risk supplier setting table, use invoice data, in which the risk level of the supplier in the fifth group of data is a non-risk level, as sixth group of invoice data, set a risk level, in which the risk level is a risk level, for an invoice, in the fifth group of data, other than the sixth group of invoice data, the risk type is a risk supplier, and the monitoring state is that checking is finished after monitoring, where the risk level of the commodity includes a risk level, an early warning level and a normal level;
a serial number checking unit 245, configured to search a serial number invoice in a pre-established invoice receipt table for invoice data in the sixth set of data according to the set invoice date range and invoice serial number checking rule, based on an invoice code and an invoice number, store invoice data with a search result of an invoice serial number in the invoice serial number table, and set a risk level of the invoice as an early warning level, a risk type as an invoice serial number, and a monitoring state as in monitoring;
an expiration checking unit 246, configured to calculate, for invoice data in the sixth set of data, invoice expiration days based on an invoice date and a current date when checking, and set a risk level as an early warning level, a risk type as an expiration reminder, and a monitoring state as in monitoring when a calculation result is greater than or equal to an invoice of a preset invoice expiration days;
and the invoice checking unit 247 is used for automatically checking the sixth group of data which is subjected to invoice serial number checking and invoice expiration days checking and serves as invoice data to be checked and withheld.
The method for checking and deducting the received invoices by the value-added tax invoice checking and deducting system has the same steps and achieves the same technical effects as the method for checking and deducting the received invoices, and the detailed description is omitted.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A value-added tax invoice checking and deducting method is characterized by comprising the following steps:
collecting paper value-added tax invoices to be deducted, and generating first invoice data based on the paper value-added tax invoices;
collecting a format file of an electronic value-added tax invoice to be deducted, and generating second invoice data according to the format file;
downloading the existing value-added tax invoice data from the tax bureau system and storing the data as third invoice data;
according to a preset checking rule, checking a second group of data based on a first group of data to determine to-be-checked and withheld invoice data in the second group of data, wherein the first group of data comprises third invoice data and a pre-established invoice information table, and the second group of data comprises first invoice data and second invoice data;
and submitting the data of the invoice to be checked and withheld to a tax bureau system, and feeding back the abnormal information of the invoice not checked and withheld to the invoicing party.
2. The method of claim 1, wherein the collecting paper value-added tax invoices to be deducted and generating first invoice data based on the paper value-added tax invoices comprises:
converting the paper value-added tax invoice into an image by adopting equipment with a scanning or photographing function, and generating first invoice data by using an OCR (optical character recognition) technology; and/or
The method comprises the steps of directly scanning and identifying the two-dimensional code on the paper value-added tax invoice through the scanning function of a program installed in a scanning gun or mobile equipment, and generating first invoice data according to the content in the two-dimensional code based on an issuing two-dimensional code analysis technology, wherein the first invoice data comprises invoice types, invoice codes, invoice numbers, issuing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount of money and tax amount.
3. The method of claim 1, wherein collecting an electronic value-added tax invoice layout file to be deducted, and generating second invoice data from the layout file comprises:
acquiring an electronic format file stored in a local client side, and/or downloading the electronic format file from a server side by setting a remote storage path at the server side;
and analyzing the downloaded electronic format file to generate second invoice data, wherein the second invoice data comprises invoice types, invoice codes, invoice numbers, invoicing dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount and tax amount.
4. The method of claim 1, wherein downloading existing value-added tax invoice data from a tax office system and saving as third invoice data comprises:
acquiring the existing value-added tax invoice data from the webpage data of the tax bureau system by using a channel service, and storing the data as third invoice data; and/or
And downloading invoice data from an existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
5. The method of claim 1, wherein the checking the second set of data based on the first set of data according to a preset checking rule, and the determining the to-be-checked deductive invoice data in the second set of data comprises:
checking the state of the invoices in the second group of data according to the invoice state, the management state and the invoice mark in the third invoice data, taking the invoice data checked in the second group of data as a third group of data, setting the risk level of the invoices which are not checked in the second group of data as a risk level, setting the risk type as abnormal invoice state, and finishing checking after the monitoring state is monitoring;
inquiring the organization name, the tax number, the address telephone and the information of an opening bank of a tax payment subject corresponding to a pre-established tax payment subject information table according to the tax payment number in the third group of data, comparing the organization name, the tax number, the address telephone and the information of the opening bank of the tax payment subject with corresponding information in the third group of data, taking invoice data with all consistent comparison results in the third group of data as fourth group of data, setting a risk grade as a risk grade for any invoice with inconsistent comparison results in the third group of data, setting the risk type as inconsistent comparison of the buyer, and finishing inspection after monitoring the state;
completely matching each commodity itemized line commodity abbreviation in the fourth group of data with a commodity abbreviation in pre-established risk commodity setting, carrying out fuzzy matching on each commodity itemized line commodity name in the fourth group of data with a commodity name in pre-established risk commodity setting, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in a risk commodity setting table for the commodities which are matched consistently, taking invoice data of which the risk grade of the commodity in the fourth group of data is non-risk grade as fifth group invoice data, setting the risk grade of invoices, except the fifth group invoice data, in the fourth group of data as risk grade, comparing the risk types of the invoices, and finishing inspection after monitoring, wherein the monitoring state is monitoring, and the risk grade of the commodity comprises risk grade, early warning grade and normal;
matching the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk provider setting table, determining the risk level of the provider in the fifth group of data according to the risk level of the corresponding provider in the risk provider setting table for the provider with consistent matching, taking the invoice data of which the risk level of the provider in the fifth group of data is a non-risk level as a sixth group of invoice data, setting the risk level of invoices, except the sixth group of invoice data, in the fifth group of data as a risk level, wherein the risk level of the commodity comprises a risk level, an early warning level and a normal state, and the risk type is a risk provider, and the monitoring state is that the examination is finished later in the monitoring process;
according to the set invoice date range and invoice serial number checking rule, for invoice data in the sixth group of data, searching a serial number invoice in a pre-established invoice receipt table based on an invoice code and an invoice number, storing the invoice data with the search result of the invoice serial number into the invoice serial number table, and setting the risk level of the invoice as an early warning level, the risk type as the invoice serial number and the monitoring state as in monitoring;
for invoice data in the sixth group of data, calculating the number of invoice expiration days based on the invoicing date of the invoice and the current date during checking, and when the calculation result is greater than or equal to the preset invoice of the invoice expiration days, setting the risk level as an early warning level, the risk type as an expiration reminder, and the monitoring state as in monitoring;
and taking the sixth group of data subjected to invoice serial number inspection and invoice expiration days inspection as invoice data to be subjected to check deduction for automatic check.
6. A value-added tax invoice checking and deducting system is characterized by comprising:
the first data unit is used for collecting paper value-added tax invoices to be deducted and generating first invoice data based on the paper value-added tax invoices;
the second data unit is used for collecting the format file of the electronic value-added tax invoice to be deducted and generating second invoice data according to the format file;
the third data unit is used for downloading the existing value-added tax invoice data from the tax bureau system and storing the data as third invoice data;
the invoice checking unit is used for checking a second group of data based on a first group of data according to a preset checking rule and determining to-be-checked withholding invoice data in the second group of data, wherein the first group of data comprises third invoice data and a pre-established invoice information table, and the second group of data comprises first invoice data and second invoice data;
and the invoice deduction unit is used for submitting the data of the invoice to be checked and deducted to a tax bureau system and feeding back the abnormal information of the invoice not checked and deducted to the invoicing party.
7. The system of claim 6, wherein the first data unit comprises:
the first processing unit is used for converting the paper value-added tax invoice into an image by adopting equipment with a scanning or photographing function and generating first invoice data by an OCR (optical character recognition) technology;
and the second processing unit is used for directly scanning and identifying the two-dimensional code on the paper value-added tax invoice through a scanning function of a program installed in a scanning gun or mobile equipment, and generating first invoice data according to the content in the two-dimensional code based on an open-source two-dimensional code analysis technology, wherein the first invoice data comprises invoice types, invoice codes, invoice numbers, invoice dates, name of a seller, tax number of the seller, tax number of a buyer, commodity details, authentication period, amount and tax amount.
8. The system of claim 6, wherein the second data unit comprises:
the data acquisition unit is used for acquiring the electronic format file stored by the local client side and/or downloading the electronic format file from the server side by setting a far-end storage path at the server side;
and the data analysis unit is used for analyzing the downloaded electronic format file to generate second invoice data, and the second invoice data comprises invoice types, invoice codes, invoice numbers, invoicing dates, seller names, seller tax numbers, buyer tax numbers, commodity details, authentication period, amount and tax amount.
9. The system of claim 6, wherein the third data unit comprises:
the first acquisition unit is used for acquiring the existing value-added tax invoice data from the webpage data of the tax bureau system by using the channel service and storing the existing value-added tax invoice data as third invoice data;
and the second acquisition unit is used for downloading the invoice data from the existing value-added tax invoice data storage path provided by the tax bureau system and storing the invoice data as third invoice data.
10. The system of claim 6, wherein the invoice verification unit comprises:
the state query unit is used for checking the state of the invoices in the second group of data according to the invoice state, the management state and the invoice mark in the third invoice data, taking the invoice data checked in the second group of data as a third group of data, setting the risk level of the invoices which are not checked in the second group of data as a risk level, setting the risk type as abnormal invoice state, and finishing checking after the monitoring state is in monitoring;
the buyer checking unit is used for inquiring the organization name, the tax number, the address telephone and the account opening information of the tax payment subject corresponding to the tax payment subject information table established in advance according to the tax payment number in the third group of data, comparing the organization name, the tax payment number, the address telephone and the account opening information with corresponding information in the third group of data, taking the invoice data with all consistent comparison results in the third group of data as the fourth group of data, setting the risk grade as the risk grade for any invoice with inconsistent comparison results in the third group of data, setting the risk type as the comparison inconsistency of the buyer and finishing checking after monitoring;
the commodity checking unit is used for completely matching the commodity abbreviation in each commodity detail line in the fourth group of data with the commodity abbreviation in the pre-established risk commodity setting, and fuzzy matching is carried out on the commodity names of the detail lines of each commodity in the fourth group of data and the commodity names in the pre-established risk commodity setting, for the commodities which are matched consistently, determining the risk grade of the commodity in the fourth group of data according to the risk grade of the corresponding commodity in the risk commodity setting table, taking invoice data of which the risk grade of the commodity in the fourth group of data is a non-risk grade as fifth group of invoice data, setting risk grades as risk grades for invoices in the fourth group of data except for the fifth group of invoice data, setting the risk types as comparison inconsistency of purchasing parties, and finishing inspection after monitoring in a monitoring state, wherein the risk grades of the commodities comprise the risk grade, the early warning grade and normal;
the supplier inspection unit is used for matching the tax number of the seller in the fifth group of data with the tax number of the seller in a pre-established risk supplier setting table, determining the risk level of the supplier in the fifth group of data according to the risk level of the corresponding supplier in the risk supplier setting table for the suppliers with consistent matching, taking the invoice data of which the risk level of the supplier in the fifth group of data is a non-risk level as a sixth group of invoice data, setting the risk level of the invoices, except the sixth group of invoice data, in the fifth group of data as a risk level, setting the risk type as a risk provider, and finishing inspection after monitoring the monitoring state, wherein the risk level of the commodity comprises a risk level, an early warning level and a normal state;
the continuous number checking unit is used for searching continuous number invoices in a pre-established invoice receipt table according to the set invoice date range and invoice continuous number checking rules for invoice data in the sixth group of data based on invoice codes and invoice numbers, storing the invoice data with the search result of the invoice continuous number into the invoice continuous number table, and setting the risk level of the invoice as an early warning level, the risk type as the invoice continuous number and the monitoring state as monitoring;
the overdue checking unit is used for calculating the number of overdue days of the invoice based on the invoicing date of the invoice and the current date during checking for the invoice data in the sixth group of data, and when the calculation result is larger than or equal to the preset invoice with the number of the overdue days of the invoice, the risk grade is set as an early warning grade, the risk type is overdue reminding, and the monitoring state is in monitoring;
and the invoice checking unit is used for automatically checking the sixth group of data which is subjected to invoice serial number checking and invoice expiration days checking and serves as invoice data to be checked and withheld.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592450A (en) * | 2021-07-30 | 2021-11-02 | 远光软件股份有限公司 | Invoice checking method and device based on central platform invoice center, storage medium and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108399556A (en) * | 2018-01-19 | 2018-08-14 | 大象慧云信息技术有限公司 | A kind of enterprise's income invoice management system |
| CN109697640A (en) * | 2018-12-26 | 2019-04-30 | 大象慧云信息技术有限公司 | A kind of VAT invoice data management platform |
| CN109697660A (en) * | 2017-10-19 | 2019-04-30 | 航天信息股份有限公司 | A kind of method and system that enterprise's income invoice data are carried out to tax based on electronics bottom account platform |
| CN109858980A (en) * | 2019-01-10 | 2019-06-07 | 上海启业信息技术有限公司 | Verification System and method are chosen based on the high-velocity scanning VAT invoice on open source OCR |
| CN111768546A (en) * | 2020-06-30 | 2020-10-13 | 新奥（中国）燃气投资有限公司 | Method, device and system for automatically early warning abnormal enterprise invoices |
| CN111798221A (en) * | 2020-07-20 | 2020-10-20 | 四川中电启明星信息技术有限公司 | Value-added tax invoice management system |
-
2020
- 2020-10-21 CN CN202011134006.XA patent/CN112417917A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109697660A (en) * | 2017-10-19 | 2019-04-30 | 航天信息股份有限公司 | A kind of method and system that enterprise's income invoice data are carried out to tax based on electronics bottom account platform |
| CN108399556A (en) * | 2018-01-19 | 2018-08-14 | 大象慧云信息技术有限公司 | A kind of enterprise's income invoice management system |
| CN109697640A (en) * | 2018-12-26 | 2019-04-30 | 大象慧云信息技术有限公司 | A kind of VAT invoice data management platform |
| CN109858980A (en) * | 2019-01-10 | 2019-06-07 | 上海启业信息技术有限公司 | Verification System and method are chosen based on the high-velocity scanning VAT invoice on open source OCR |
| CN111768546A (en) * | 2020-06-30 | 2020-10-13 | 新奥（中国）燃气投资有限公司 | Method, device and system for automatically early warning abnormal enterprise invoices |
| CN111798221A (en) * | 2020-07-20 | 2020-10-20 | 四川中电启明星信息技术有限公司 | Value-added tax invoice management system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592450A (en) * | 2021-07-30 | 2021-11-02 | 远光软件股份有限公司 | Invoice checking method and device based on central platform invoice center, storage medium and electronic equipment |
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