OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing
In this tutorial, we build an advanced, self-contained OCRmyPDF workflow. We start by installing the required system and Python dependencies, then create a synthetic image-only PDF for scanning so we can test OCR without relying on external files. From there, we use OCRmyPDF’s real public API to convert scanned documents into searchable PDFs, generate PDF/A outputs, extract sidecar text, validate the results, compare file sizes, tune Tesseract settings, clean noisy scans, handle already-OCRed f
Get smart on it
This tutorial explains how to use OCRmyPDF, a tool that converts scanned document images into searchable PDF files. OCRmyPDF works by applying optical character recognition technology to extract text from image-based PDFs, making the content searchable and selectable while preserving the original image quality. The workflow covers installation of required system tools like Tesseract and Python dependencies, then demonstrates practical applications including generating PDF/A format outputs, extracting text into separate files, batch processing multiple documents, and optimizing file sizes for archival and automated processing tasks.
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