Turn document content into structured information that can support your business workflow.
Where it can help
OCR reads text from an image or document. Intelligent document processing can add steps such as classifying a document, extracting selected fields, checking values and routing results into a workflow. Examples include forms, invoices and operational documents. Whether a process is suitable depends on the documents, languages, rules and consequences of an incorrect result.
What we can build with you
A solution can combine text extraction, document categories, field mapping, validation checks and routing. Confidence thresholds can send uncertain results to a person for review. Page layout, image quality, handwriting, language and document variation affect what can be extracted reliably, so sample-based evaluation is part of defining the scope.
How a project starts
First identify the document types, the fields needed and what happens after extraction. Review representative, appropriately protected samples and note variations, exceptions and the cost of errors. Then agree which checks are automatic, when a person reviews a result and how corrected data returns to the process. Use a secure, agreed route for any sample documents; do not send confidential records in an initial enquiry.
Common questions
What is the difference between OCR and IDP?
OCR converts visible text in a document image into machine-readable text. IDP describes a wider workflow that can classify documents, extract chosen information, check it and send it to another step.
Will every document be processed automatically?
No. Results depend on image quality, layout, language and the fields involved. Unclear or low-confidence cases should be reviewed by a person, and the acceptable automation level depends on the impact of an error.
Related service
Talk through your requirements
Share the process, users and outcome you have in mind. Project scope and technical feasibility are agreed after discovery.