ocrmypdf/OCRmyPDF

What it solves

OCRmyPDF transforms scanned PDF files—which are essentially just images of text—into searchable and copy-pasteable documents by adding a hidden OCR text layer. It addresses common issues found in other OCR tools, such as misplaced text, poor multilingual support, loss of image resolution, and the creation of oversized or invalid PDF files.

How it works

It is a scriptable command-line tool written in Python that integrates the Tesseract OCR engine to recognize text in over 100 languages. The tool processes the PDF, optionally cleans the image (deskewing or rotating pages), and inserts the recognized text accurately beneath the original images. It can produce PDF/A files, which are specialized for long-term archiving, and distributes the workload across multiple CPU cores for efficiency.

Who it’s for

It is designed for users who need to digitize large volumes of scanned documents, developers looking to automate PDF processing via the command line, and organizations requiring valid PDF/A files for archival purposes.

Highlights

• High Fidelity: Maintains original image resolution and performs lossless operations where possible.
• Optimization: Often reduces the final file size compared to the input.
• Image Correction: Includes built-in capabilities to deskew crooked pages and fix misrotated pages.
• Extensible: Provides a plugin interface to replace Tesseract with other engines like EasyOCR or PaddleOCR.