OCR & Document Processing – Read forms automatically
Automatic text recognition, form processing and document classification – from image capture to structured data handoff.
OCR systems from real projects – built for production
We have developed OCR solutions in production environments: for a market-leading statutory health insurance service provider, for distributed document processing platforms and for robotics test automation. No theoretical know-how – real project experience with real data.
Why BitPointer for OCR?
Form recognition from real projects
We have implemented OCR for medical billing forms, medical aids forms and patient data for a market-leading statutory health insurance service provider. No theoretical know-how – real project experience.
Scalable architecture
Our distributed OCR solution consists of decoupled services: image correction, text recognition, classification and indexing run independently and can be scaled separately.
Validation & quality assurance
Read data is automatically checked for syntactic and logical plausibility and validated against reference databases – before it is passed on.
Technologies & tools
OCR engines
Tesseract (open source, configurable), Abby Finereader SDK (highest recognition rate), IMAQ Vision (LabView-based for industry)
Zone OCR, language training, custom character sets
Image processing
OpenCV (image correction, object recognition, preprocessing), C++ Image Processing, Qt Multimedia
Deskewing, binarisation, noise filtering, deskew/distortion correction
Search & classification
Apache Solr (full-text indexing), Elasticsearch, rule-based classifiers, ML-based classification (Scikit-learn, PyTorch)
Fuzzy search, document ranking, automatic categorisation
Integration
MQTT (event-based handoff), REST APIs, Docker, MS-SQL, MySQL, Java (Apache Solr client), C++/Qt (main implementation)
ERP, CRM and archive connectivity, error queues, audit logging
Reference projects
Distributed OCR system
Service-oriented platform for text recognition, search and classification with Qt/QML GUI, Apache Solr indexing and MQTT-based service orchestration.
Tech: C++, Qt 5.x, QML, Tesseract, Java, Apache Solr, Docker, OpenCV, MQTT, MySQL
Patient data OCR (statutory health insurance)
OCR for medical billing forms and medical aids forms for a market-leading statutory health insurance service provider. With database validation of diagnoses, indications and insurance data.
Tech: C++, Qt 5.x, C#, Visual Basic, Abby Finereader, Docker, Java, MS-SQL, Regex
Robotics tests with OCR
OCR for robot control and test automation: text recognition in the BDD test pipeline (Cucumber/Gherkin) with OpenCV-based image processing for object recognition.
Tech: C++, Qt, OpenCV, Tesseract, Cucumber/Gherkin
Our approach
Document analysis
Which forms, layouts, languages? Assessment of scan quality and OCR difficulty levels.
Engine selection & configuration
Tesseract for open-source setups, Abby Finereader SDK for highest recognition rates, configuration of zone models for structured forms.
Image preprocessing
Distortion correction, binarisation, noise filtering, deskewing – so the OCR engine receives optimal input.
Validation & matching
Check read values against the database, apply plausibility rules, mark outliers for manual review.
Integration & operations
Connectivity to third-party systems, monitoring, error queues, reporting dashboard.
FAQ
Common questions about OCR & document processing
Have forms read automatically
Tell us about your documents and forms – we will estimate recognition rate and effort free of charge.