docTR vs OCRFeeder

docTR is a free deep-learning OCR library for finding and recognizing text in documents, aimed at document automation and research. Its pretrained OCR predictors first detect text and then recognize it, while a layout predictor identifies regions such as tables, figures, and headers. It reads PDFs and images; web-page input requires the optional HTML extra. Results can be rendered as plain text or exported as a JSON-serializable nested dictionary. The project describes its predictors as optimized for CPU and GPU inference. Users can train custom detection, recognition, layout, and table-structure models when pretrained models are not suitable. Documentation covers loading and sharing models through the Hugging Face Hub, and includes a minimal REST API deployment template and a browser demo. Installation is available through pip, Git, or official Docker images. The library requires Python 3.11 or higher, and pretrained weights download on first use and are cached locally. For AWS Lambda, the guide advises disabling multiprocessing and placing the model cache within /tmp. The project uses the Apache License 2.0.

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.