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
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 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.
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
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.