OCRmyPDF Guide: Transform Scanned Files into Searchable PDF/A Documents

This guide provides a comprehensive workflow for using OCRmyPDF to convert scanned documents into searchable PDF/A files. We begin by setting up the necessary system and Python dependencies, followed by creating a synthetic image-only PDF for testing purposes. Utilizing OCRmyPDF's public API, we can convert scanned documents into searchable PDFs, generate PDF/A outputs, and extract sidecar text. The tutorial also covers validating results, comparing file sizes, adjusting Tesseract settings, cleaning up noisy scans, and managing already-OCRed files. Additionally, it demonstrates how to process images with DPI hints, execute OCR in memory, and batch-process multiple PDFs. This workflow illustrates how OCRmyPDF can effectively serve as a document digitization solution for archival, searching, extraction, and automation tasks.