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

Upload a claims document and the Affinda Platform will predict the fields you need – like claimant details, policy number, incident date, totals and line items – so you can automate claims document processing in just a few clicks.

The platform checks extracted claims data against your business rules and transforms it into a format your claims management system expects. That way, it’s ready for workflows like coverage checks, reserving, routing and settlement.

Use natural language to write validation rules that match your claims workflows, for example: flag missing fields; check policy numbers match correct formats; validate that document dates are within ranges; check financial consistency, such as line items summing correctly to totals.
Create integrations fast, even if you’re not a developer. Choose from 2800+ business systems and describe how you want your claims document processing integration to work, using natural language. Our AI Integrations Agent will generate the code to make it happen.
Easily connect Affinda Platform to your claims stack using our client libraries and APIs. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your claims documents, so extracted fields map cleanly into your workflows.
From intake through to settlement, we help claims teams extract data, apply rules and move claims forward faster.
Digitize claim forms and validate against required fields and your reference data, so only complete, accurate claims enter your system.
Extract key details from tax returns, medical records, financial statements, invoices and supporting documents, then check for consistency and flag anomalies.
Highlight inconsistencies across submitted documents and flag anomalies for review earlier in the claims process.
Verify extracted claims data against your records, verifying policy numbers, claim limits and eligibility requirements, before claims proceed.
Review settlement packs and supporting documentation before payout approval, reducing errors and improving auditability.
Process correspondence and route it to the right claim handler, leading to faster responses, fewer delays and better claimant experience.
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
Intelligent document processing (IDP) for claims processing uses AI to extract, validate, and structure data from claims documents – like claim assessments, invoices, medical reports, police reports and repair estimates.
Instead of relying on manual review or basic OCR alone, we use AI to capture the fields you care about, apply business rules and deliver clean data into your claims workflows.
AI speeds up claims handling by removing manual steps across intake, evidence review and settlement. We extract key fields automatically, validate them against your rules and route exceptions to the right handler.
That means faster decisions, fewer errors and better consistency – even when claim volumes spike.
We process a wide range of claims documents, including:
If it’s a claim document – structured or unstructured – we can extract the fields you need.
Some best practices we recommend:
Our platform is built to support these steps end to end.
Claims OCR typically refers to using optical character recognition to convert claim documents into text. That’s useful, but OCR alone doesn’t understand context, identify the right fields, or validate information.
We combine OCR with AI, reading order algorithms and retrieval-augmented generation (RAG) so you can extract structured data (like totals, dates, diagnosis codes or policy numbers) and apply business rules – which is what claims teams actually need.
Yes. The CMS-1500 has consistent field labels, but real-world submissions still vary – different scans, handwriting, highlights and layout changes.
We can extract common CMS-1500 fields such as patient information, provider details, diagnosis codes, procedure codes and charges – then validate them to reduce errors before downstream processing.
We support difficult inputs, including low-resolution scans, skewed pages, noisy backgrounds and colored forms. If you’re dealing with “red” or heavily marked claim forms, we can still extract the key fields and route uncertain values for review.
This is especially valuable when claims teams are dealing with high document variability.
Yes – validation is where claims automation becomes truly useful. We can apply rules like:
This reduces downstream rework and supports faster, more consistent decisions.
Fraud indicators often appear across multiple documents – mismatched dates, inconsistent names, altered invoices or repeated patterns.
We help by extracting structured data across all submitted evidence and highlighting inconsistencies, so investigators can focus on high-risk claims instead of reviewing every page manually.
Yes. Many insurers use retrieval-augmented generation (RAG) to ask questions across a claim file – for example, “Does this claim include proof of ownership?” or “What is the total claimed amount across all invoices?”
A key requirement for successful RAG is clean, structured data. We help by extracting and organizing information from claims documents so RAG and downstream AI tools can work more reliably.
Claims workflows often include sensitive personal information. We take security seriously and support enterprise-grade controls for handling confidential documents.
We’re ISO 27001:2022 certified and SOC 2 and GDPR compliant. If you have HIPAA-related requirements for healthcare claims workflows, we can work with your team on the appropriate security and compliance approach.
We support claims workflows across many lines, including:
Because we extract from documents rather than relying on a single rigid template, we can handle different formats and evidence types across claim categories.
LLMs and AI models can extract data from claims documents with impressive accuracy. The harder challenge is knowing whether that data is correct, complete and safe to use in production. Affinda goes beyond extraction to validate outputs against your business rules, ground data back to source documents for verification, route exceptions for human review and maintain full audit trails.
This is what transforms extracted data into decision-ready data you can trust.