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.
Extract header and line-item data from invoices to reduce manual entry.
Match invoices against POs and goods receipts to catch errors early.
Capture and classify receipts to speed up employee reimbursement.
Process supplier forms, W-9s and bank details securely.
Identify duplicate invoices before they're paid.
Validate tax, VAT and regulatory details against invoices.
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
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally
Affinda’s AI-powered document processing optimizes accounts payable (AP) operations by reducing manual effort, improving accuracy and accelerating data extraction. With built-in extraction accuracy over 90%, AP teams save an average of five minutes per document while cutting errors – and the AI continuously learns from every interaction. The platform excels at parsing complex line item tables and supports customization, from configuring field rules to whitelisting trusted inputs. It integrates seamlessly with existing accounting systems, delivering structured invoice, receipt or credit note data securely and efficiently.
An AP team can use our AI agents to automatically capture and validate invoice data. Instead of manually entering line items, totals and tax details, the system extracts this information in seconds and feeds it directly into the company’s accounting platform. This automation shortens processing time, reduces errors and ensures that payments are scheduled promptly. Finance teams can then focus less on data entry and more on strategic tasks such as cash flow management and supplier relationships.