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
From purchase orders to delivery notes, manufacturers rely on document-heavy processes to manage suppliers and materials. Affinda extracts, validates and routes data automatically – reducing delays, errors and costly rework.
Shop floor teams often work with printed or scanned documents – like inspection reports, work orders and safety checklists. Affinda turns these into structured data, improving visibility and reducing admin overhead across operations.
Manufacturers must retain clear, complete documentation for audits, safety reviews and regulatory reporting. Affinda validates key fields, redacts sensitive data and returns structured outputs that can be tagged and stored with traceable metadata in your own systems.

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.
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
The use of an AI-powered optical character recognition (OCR) data extractor in the manufacturing industry can significantly enhance operational efficiency, productivity and profitability. An AI OCR data extractor is adept at pulling important data from physical documents.
In manufacturing, where documentation, record-keeping and data analysis are critical yet tedious tasks, OCR technology can deliver a transformative operational change. Data relating to production schedules, stock inventory, quality control reports and supply chain instructions often exist in physical formats, and manually managing this vast array of information is both time-consuming and error-prone. By implementing AI OCR technology, manufacturers can retrieve this data in a structured format quickly and accurately.
A great example of how Affinda's AI-powered OCR data extractor can help in manufacturing is to greatly improve inventory management. Manufacturers often have to handle complex inventories containing hundreds, if not thousands, of different components.
Document AI and OCR can be used to scan and extract the necessary data on invoices, consignment notes and more, making it easier to track stock and manage inventory. Automation of this process reduces the risk of miscounts and discrepancies, which, in turn, aids production planning and prevents costly production delays.