OCRmyPDF is a command-line tool that adds searchable text layers to scanned PDF files using optical character recognition.
The tool solves the problem of scanned PDFs being unsearchable and difficult to work with programmatically. It embeds an OCR text layer into PDF files without altering the original image, preserving document fidelity while enabling full-text search capabilities. The approach uses Tesseract as its OCR engine and processes PDFs to overlay recognized text invisibly beneath the original scanned image.
OCRmyPDF suits workflows where you have collections of scanned documents that need to become searchable without losing image quality or appearance. It works well for archival projects, document management systems, and any scenario where you need to batch-process PDFs to add searchability. The tool is designed to be straightforward to integrate into automated pipelines through its command-line interface and Python API.
Development on the project shows consistent engagement with bug fixes and maintenance across releases. The maintainers actively respond to issues and incorporate user feedback into updates. The codebase receives regular attention to keep dependencies current and address edge cases in PDF handling. Testing appears thorough, with the project maintaining stability across different document types and OCR scenarios.
