Combine the best of artificial and human intelligence
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally
Upload a document and Affinda will predict the information you want to extract, letting you automate document processing in just a few clicks.
Affinda automatically transforms data into a format your business system recognizes, ensuring extracted information is ready for downstream processing. Have a bespoke need? Use natural language to describe how you want the data to appear.
Write validation rules in natural language to apply your business logic to the data. This will ensure the output meets your organization’s requirements and enable straight-through processing.
Non-developers can create integrations with ease. Choose from 400+ downstream systems and describe how you want the integration to work, using natural language. Affinda’s AI agent will write custom code to connect to your downstream system.
Developers can easily connect Affinda with their systems using our client libraries. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your needs.
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally
Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.
Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.
- Nathaniel Barrs, CTO, PSC Insurance
reduction in manual work
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals
Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.
- Jorg Both, Head of Business Systems, Northline
proof of delivery documents processed annually
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system
Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.
– Michael Zhao, AI Product Manager, SEEK
Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.
- Nick Tran, Business Analyst, StateCover Mutual
documents processed annually
different document types
Enhanced auditability and tracking of invoice approvals
The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.
- Steve O’Keeffe, CTO, Felix
reduction in manual data input
reduction in compliance data errors
compliance documents processed annually
General invoice information
Invoice Number: Unique identifier for the invoice.
Invoice Date: Date the invoice was issued.
Due Date: Date payment is due.
Purchase Order (PO) Number: Reference to a related purchase order.
Invoice Type: Indicates the type of invoice (standard, credit note, debit note).
Supplier information
Supplier Name: Name of the supplier issuing the invoice.
Supplier Address: Address of the supplier.
Supplier Tax ID: Supplier’s registered tax identification number.
Supplier Contact Details: Email, phone number, or contact person.
Buyer Information
Buyer Name: Name of the invoice recipient.
Buyer Address: Address of the recipient.
Buyer Tax ID: Buyer’s registered tax identification number.
Buyer Contact Details: Email, phone number, or contact person.
Financial Details
Subtotal: Total amount before taxes, discounts, and fees.
Tax Amount: Total tax amount applied (e.g., VAT, GST, sales tax).
Total Amount: Final amount payable by the buyer (Subtotal + Taxes - Discounts).
Currency: Currency in which the invoice is issued.
Line Items
Item Description: A textual description of the product or service provided.
Item Code: A unique identifier or SKU for the product or service.
Item Date: The date associated with the line item, such as the service or delivery date.
Item Unit: The unit of measurement (e.g., hours, pieces, kilograms).
Item Unit Price: The cost per unit of the item or service.
Item Quantity: The number of units billed.
Item Discount: Any discount applied to the line item.
Item Base Total: The total amount before taxes and discounts (quantity x unit price).
Item Total: The final amount after applying discounts and taxes.
Item Tax Rate: The tax percentage applied to the item.
Item Tax Total: The total tax amount for the line item.
Item Other: Any additional charges or notes related to the line item.
Payment Terms & Methods
Payment Terms: Conditions of payment (e.g., net 30 days).
Payment Method: Preferred method of payment (bank transfer, credit card, etc.).
Bank Account Details: Account details for payment (IBAN, BIC/SWIFT).
Additional Charges & Discounts
Shipping/Freight Costs: Costs related to shipment/delivery.
Discounts: Amount or percentage discount applied.
Other Charges: Any additional fees or charges not included elsewhere.
Reference Information
Reference Number: Additional reference provided by buyer/supplier.
Notes/Comments: Additional information or instructions relevant to the invoice.
Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCX (Word), XLSX (Excel), HTML and TXT/CSV.
Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
AI-powered invoice processing technology helps automate and optimize financial workflows across teams: accounts payable departments can cut invoice processing times by up to 80% by extracting 50+ fields – even from scanned documents – reducing manual effort and boosting accuracy; procurement teams can leverage self-learning AI that adapts to new invoice layouts, simplifying invoice-to-purchase order matching and improving supplier control; and finance or ERP teams can use bulk APIs to seamlessly integrate structured data into financial systems, enhancing reconciliation, visibility and operational scalability.
An invoice optical character recognition (OCR) data extractor is a tool that scans and accurately captures information from invoices, regardless of format or language. By photographing or uploading invoice documents in PDF, JPG or PNG, the OCR technology identifies and extracts key data fields such as supplier details, invoice numbers, dates, line items, totals and tax amounts, converting them into a digital format. This automation removes the need for manual data entry, reducing errors and saving considerable time. Once the invoice OCR has captured the data, Affinda’s AI-powered technology further processes and structures it, enabling seamless integration with ERP, accounting or finance systems. Businesses across industries use this data for accounts payable, financial reporting and expense management, streamlining workflows and improving overall efficiency.