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Version: V3.16

Finance Trade Document Extraction

Business scenario description

Financial trade document extraction is committed to achieving content recognition and automatic extraction of key information in financial trade documents. Financial transactions supports the extraction of information from "document which is a proof of purchase after purchasing some goods or services", focusing on the information of both buyers and sellers, purchase item information, and amount information. Logistics transportation supports the extraction of information from "goods transfer voucher documents for transporting goods from one place to another", Pay attention to third-party information in transportation, information on the location of goods circulation, and information on goods.

The application scenarios provided by financial and trade document recognition include:

  • Financial accounting: general industry demand to improve the efficiency and accuracy of financial processing, reduce manual errors and improve efficiency through automated processing, reduce management costs, and meet the growing demand of enterprise financial management.
  • Logistics and supply chain management: The global logistics industry is huge. Using Laiye Intelligent Document Processing can improve logistics efficiency and accuracy, reduce management costs, and provide basic support for intelligent automation.

Difference between Speed First and Accuracy First:

FeatureAccuracyResponse speedValue position supportedConfidence value supported
Speed FirstGoodFastNoNo
Accuracy FirstExcellentSlowYesYes

Characteristic

The recognition of financial and trade documents has the following characteristics:

  • Multilingual : Capable of supports multiple languages, including Simplified Chinese, Traditional Chinese, English, French, German, Spanish, Japanese, Korean, Portuguese, Italian, Indonesian, Arabic, Polish, Malaysian, Russian, Dutch, Thai, Brazilian, Luxembourgish, and others.
  • Unlimited layout : Semantic based Information Extraction, no format, field location information restrictions
  • Ready to use out of the box : It can be called directly on the UI or by using the API interface to return fixed structured fields for easy integration

Usage method

1) Log in to the IDP platform and click Identification of financial and trade documents Menu.PEDC1V

2) Create a new financial and trade document recognition modelSqs70K

3) Click on the tester in the upper right corner to enter the testing pageHPK0kb

4) Upload a document and click to start the test to obtain the identification resultsJ67WYL

Document types that support recognition

Document typeType DescriptionFields that support recognition
Financial transactionsfinancial transactionsFields that support recognition
Transportation logisticsLogistics transportationFields that support recognition

Different types of fields that support recognition

Financial transactions

Field NameField DescriptionField DescriptionField Source
Items structure---
subtypeSubtypereference tips 1generated
document_dateDocument DateYYYY-MM-DD formatextracted
expense_categoryExpense Categoryreference tips 2generated
total_amountTotal AmountTwo decimal places valueextracted
total_net_amount_excluding_taxesTotal Amount Excluding TaxTwo decimal places valueextracted
total_taxTotal TaxTwo decimal places valueextracted
supplier_nameSupplier Name-extracted
supplier_addressSupplier Address-extracted
supplier_countrySupplier CountryCountry or region name with initial capital lettersgenerated
customer_nameCustomer Name-extracted
customer_typeCustomer TypeIncluding company/individualgenerated
currencyCurrency3 letter currencygenerated
document_numberDocument Number-extracted
payment_termsPayment Terms-extracted
reference_doc_numberReference Doc NumberPurchase order number/order number number/bill of lading waybill number for non invoice numbersextracted
line_items structure---
item_idItem Id(per line)-generated
item_nameItem Name(per line)-extracted
item_unit_priceItem Unit Price(per line)-extracted
item_quantityItem Quantity (per line)-extracted
item_tax_amountItem Tax Amount(per line)-extracted
item_subtotal_amountItem Subtotal Amount(per line)-extracted

tips 1:"subtype" including value:receipt/invoice/purchase order/bill/other

tips 2:"expense_category" including value:Accommodation/Catering/Shopping/Retail/Communication/Medical/Transportation/Service/Fuel/Electronic component/other

Logistics transportation

Field NameField DescriptionField DescriptionField Source
Items structure---
subtypeSubtypereference tips 3generated
shipper_nameShipper Name-extracted
shipper_addressShipper Address-extracted
consignee_nameConsignee Name-extracted
consignee_addressConsignee Address-extracted
carrier_nameCarrier Name-extracted
carrier_addressCarrier Address-extracted
ship_dateShip DateYYYY-MM-DD formatextracted
due_dateDue_DateYYYY-MM-DD formatextracted
transportation_document_numberTransportation Document Number-extracted
transportation_wayTransportation Wayreference tips 4generated
transportation_informationTransportation InformationIncluding ship information/flight information/train informationextracted
place_of_receiptPlace Of Receipt-extracted
place_of_loadingPlace Of Loading-extracted
place_of_dischargePlace Of Discharge-extracted
place_of_deliveryPlace Of Delivery-extracted
place_of_paymentPlace Of Payment-extracted
total_gross_weightTotal Gross WeightNumber+Space+Unit Formatextracted
total_measurementTotal MeasurementNumber+Space+Unit Formatextracted
total_packagesTotal Packages-extracted
container_informationContainer Information-extracted
goods_typeGoods Typereference tips 5generated

tips 3:"subtype" including value: bill of lading/waybill/booking confirmation/shipping order/delivery order/other

tips 4:"transportation_way" including value: Road transport/Air freight/Sea freight/Rail transport/Inland waterway transport/Multimodal transport/Express delivery/other

tips 5:"goods_type" including value: Fast moving consumer goods/Electronic products/Apparel and textiles/Automobiles and auto parts/Chemical raw materials and products/other