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.
Digitize claim forms, emails and attachments to create case files.
Extract data from police, hospital and repair reports.
Highlight inconsistencies across submitted documents.
Verify coverage details from policy documents.
Review settlement packs before payout approval.
Process correspondence and route it to the right claim handler.
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
An AI-powered OCR (Optical Character Recognition) data extractor can transform document workflows in many industries, particularly in claims processing. OCR technology uses AI to recognize printed or handwritten text within various types of documents and then extract that data so it can be used as required.
One of the primary advantages of using OCR technology for the automated extraction of data is the significantly reduced processing time. Where manual data entry from a large volume of documents can take considerable man-hours, Affinda's AI-powered OCR data extractor can extract all the necessary fields in seconds. This not only speeds up the claim processing time but also mitigates human errors, thus increasing the accuracy and reliability of the data.
In healthcare, for instance, OCR technology can automate data extraction from health insurance claim forms. It can significantly expedite the claims process by sorting through, extracting and collating necessary patient information, diagnosis codes, medical procedures and costs.
In the logistics sector, companies handle product damage or loss claims. An AI-powered OCR data extractor can streamline the process by extracting data from logistics documents, fostering efficiency and accuracy in reimbursement calculations. Overall, an AI-powered OCR data extractor can create efficient claim processes across various industries by eliminating manual input, speeding up data processing, reducing errors and allowing teams to focus more on assessing the validity of claims.