layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
Analyze document images using deep learning tools with minimal coding.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Unified Toolkit for Deep Learning Based Document Image Analysis
layout-parser has 5.8k stars on GitHub. It has been forked 538 times. layout-parser is written mainly in Python. It has been in active development since 2020. layout-parser is available under the Apache-2.0 license. Its main topics are computer-vision, deep-learning, detectron2, document-image-processing.
What is layout-parser?
A Unified Toolkit for Deep Learning Based Document Image Analysis
Is layout-parser open source?
layout-parser is an open-source project. It is released under the Apache-2.0 license.
Is layout-parser free?
Yes. layout-parser is free and open source — you can use, modify and self-host it.
What license does layout-parser use?
layout-parser is available under the Apache-2.0 license.
What language is layout-parser written in?
layout-parser is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/layout-parser-layout-parser.html)
