Combine the best of artificial and human intelligence
accuracy in data and information extraction
years of IP combined with the latest AI innovations
documents processed
languages supported, empowering customers globally
Insurance teams deal with high volumes of claims forms, supporting documents and policy records – many of them scanned or handwritten. Affinda extracts and validates key data automatically, reducing turnaround times and manual effort.
Claims decisions often depend on pulling accurate data from multiple document types – ID, medical records, statements and more. Affinda improves data quality at the source, reducing costly errors and repeat reviews.
From data privacy to record-keeping, insurers face strict documentation requirements. Affinda helps teams meet these standards by validating fields, automating audit trails and redacting sensitive data where needed.

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.

Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your organization’s requirements and enables seamless straight-through processing.
Create integrations with ease, even if you’re not a developer. Choose from 400+ business systems and describe how you want your document processing integration to work, using natural language. Affinda’s AI Integrations Agent will generate the code to make it happen.
Easily connect Affinda with your systems using our client libraries. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your document conversion needs.
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 data and information extraction
years of IP combined with the latest AI innovations
documents processed
languages supported, empowering customers globally
Artificial intelligence (AI) has become a promising technology to increase efficiency and productivity in various fields, including the insurance industry.
One of the most beneficial AI applications here is the optical character recognition (OCR) data extractor, a valuable tool for managing insurance documents. The AI-powered OCR data extractor works by pulling data from different types of insurance documents such as claims documents, policy documents, invoices and receipts.
An AI-powered OCR data extractor boosts efficiency in the insurance industry by saving processing time and resources, accelerating claim handling, enhancing customer satisfaction, maintaining competitiveness and reducing data entry errors, thereby improving data accuracy and reliability. As an example, a large insurance firm can employ an AI-powered OCR data extractor for handling claim documents.
Traditionally, processing these documents involves manual entry of information into their system, which is a time-consuming and error-prone task. However, using Affinda's AI-powered OCR data extractor, the firm can scan these documents, extract required data and automatically input it into their system. This change can drastically reduce processing time and human-associated errors, leading to quicker claim resolution for customers and greater customer satisfaction, thus enhancing the firm's reputation.