Optical Character Recognition (OCR)

Optical Character Recognition (OCR) refers to the automatic conversion of printed or handwritten text into machine-readable information. The technology extracts text from documents, files, images or scans and enables further processing in digital formats.

The Konfuzio OCR software enables intelligent text recognition for 70+ languages and digital extraction of all relevant information from the respective text. Using the OCR online API, you can easily integrate the Konfuzio OCR software into your own software via REST or RPA robots.

Automatic document selection

Konfuzio's OCR reliably reads many different documents. Whether it's an invoice, delivery bill, energy certificate, bank statement, etc.


The information obtained is implemented as structured and reusable data in the company programs.


Konfuzio's OCR can be used worldwide. It enables documents, images and files to be read in over 70 languages.

OCR features

OCR integration via REST API

Using the vision OCR achieves impressive results when processing files to read text data from image based documents like scans in various languages. Processing images or documents via our cloud hosted APIs provides instant access to the vision AI to extract text data. More APIs for processing documents with vision or natural language AI can be found in our Swagger documentation.

Output in various formats

Thanks to the Konfuzio OCR API, you can convert your images and PDF documents into searchable files in PDF or PDF/A format free of charge. On request, the text can also be processed into other file formats (e.g. DOCX, XLSX, PPTX). You can also receive your OCR output in JSON or CSV format.

Python OCR SDK

Our Python OCR SDK is fully documented to process documents on your systems. Create applications yourself that extract textual information from images and documents. The Python SDK gives you all the functionality of the REST API in your Python code.

OCR application areas

Document processing

OCR enables the automatic capture and processing of printed documents such as invoices, contracts, forms, reports and much more. Structured information and data is extracted from the unstructured text and imported into digital systems. Information such as name, address, telephone number, invoice or article numbers etc. can be captured and used in databases or CRM systems.

Digital archiving

OCR can be used to convert printed documents into digital formats and save them in electronic archives. There they can be easily searched and further processed. This makes it easier to search, access and manage documents.

Digital process optimization

The automation of document retrieval and the transfer of relevant information to company systems offers a wide range of benefits. Among other things, it forms the basis for comprehensive process optimization - the data obtained can be further processed in workflows and thus used for automated decision-making, for example. One example of this is automated lending.

Mail and parcel processing

OCR is used in logistics to recognize addresses on letters or parcels and optimize delivery. Often, however, machine-readable information can already be encoded as a barcode and be processed via Barcode scanner instead of OCR technology.