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OCRFeeder vs OCRmyPDF

OCRFeeder

wiki.gnome.org

OCRmyPDF

ocrmypdf.readthedocs.io

Side by side

FigureOCRFeederOCRmyPDF
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Windows—Yes
macOS—Yes
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · OCR software8.6 (#8)8.5 (#10)
Free planYesYes
Supported inputsbothpdf
Primary platformdesktopdesktop
PurposeOCRFeeder is a document layout analysis and optical character recognition system.OCRmyPDF adds a searchable text layer to scanned PDF files while preserving the original PDF as much as possible.

Plans

OCRFeeder

  • OCRFeederFree

OCRFeeder pricing →

OCRmyPDF

  • OCRmyPDFFree

OCRmyPDF pricing →

In their own words

OCRFeeder

OCRFeeder is a Linux system for analyzing document layouts and recognizing text in images. It automatically outlines image content, separates graphics from text, and applies OCR to text regions. Its GTK graphical interface lets users correct recognition errors and bounding boxes, set paragraph styles, and clean input images. Users can import PDFs and save or load projects. The application exports to multiple formats, with ODT as its main format, and provides both a graphical interface and a command-line interface. It works with system-wide OCR engines, including command-line OCR engines. Documentation for the graphical interface is available from its Help menu or with F1. OCRFeeder is free software under the GNU General Public License, version 3 or any later version chosen by the user. The GNOME project page links to source code and release packages, and the project page links to a GitLab issue tracker. Its listed roadmap includes proposed additions such as plain-text export and undo/redo support. The README states that the software is provided without warranty.

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OCRmyPDF

OCRmyPDF is free software that adds searchable text to scanned PDF files while retaining the original PDF as much as possible. It uses Tesseract to recognize text in page images and produces PDF/A-2b by default, with regular PDF output available as an alternative. Image-processing options such as deskew can adjust pages to support visual quality and OCR accuracy. When a PDF already contains text, its processing modes can stop with an error, skip affected pages, redo OCR, or force OCR across all pages. OCRmyPDF can also be used as a Python library, and plugins can customize processing steps. Installation methods are documented for Linux, macOS, Windows, FreeBSD, and Docker; Paperless-ngx and Nextcloud OCR are named as third-party integrations. Results may be poor for low-quality scans or languages not specified for processing, and handwriting is not recognized. The project also notes that accuracy may trail commercial solutions. Its documentation advises processing only PDFs users trust and warns that its example Docker web service has no security measures and is not meant for public internet deployment.

Visit ocrmypdf.readthedocs.io