About
PDF OCR Hub is an independent web service created by Serhii Tkachenko. It focuses on three document jobs: making scanned PDFs searchable, exporting PDF pages for reuse, and turning invoice PDFs into reviewable structured data.
The service was created because a user asking for OCR should not have to navigate a catalogue of unrelated tools. Every public route maps to a real processing workflow and explains what the output can and cannot preserve.
The application runs on EU-hosted infrastructure. An uploaded PDF is assigned a temporary job, processed by the selected Python workflow, and made available through a short-lived result link. Input and result files are removed automatically after their configured retention periods.
OCR quality depends on scan resolution, page rotation, language, handwriting, and background noise. Searchable PDF usually preserves appearance best; TXT prioritizes reusable text; DOCX is an editable starting point and may require cleanup for complex layouts.
The roadmap is driven by real files and support feedback: better language handling, clearer job progress, stronger invoice field validation, and more reliable exports for multi-column documents.
When a conversion is imperfect, the goal is to explain the limitation honestly and provide the most useful alternative output rather than promise a pixel-perfect editable reconstruction.
PDF OCR Hub is operated by Serhii Tkachenko in Denmark. Product questions, reproducible conversion problems, and private batch-processing enquiries can be sent through the contact page.
Contact PDF OCR Hub or read the privacy policy before uploading sensitive material.