OCRmyPDF is a command-line tool designed to transform scanned documents into searchable, selectable PDF files. It functions as a document processing pipeline that adds a hidden text layer to image-based files while simultaneously optimizing the document's file size and image quality. By preserving the original visual fidelity of the input, it ensures that digitized documents remain accessible to screen readers and search engines.
The project distinguishes itself through a modular architecture that supports custom plugins and the integration of external recognition engines, allowing users to tailor the processing workflow to unique file formats or specific requirements. It provides robust support for multi-language environments through configurable language packs and handles large-scale operations via automated batch processing.
The software manages complex system-level dependencies and external binary tools through containerized environments, ensuring consistent execution across different host operating systems. It is available for installation via standard Python package managers or native system package managers on Linux, macOS, and Windows, and includes comprehensive documentation covering API usage, performance tuning, and cloud deployment strategies.
