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Vision & OCR

qurator-spk/eynollah

Document Layout Analysis

Apache-2.0Python
Stars
415
Forks
37
Open issues
22
Last push
18d ago

About eynollah

eynollah is a free, open-source computer vision tool by qurator-spk, written mainly in Python. Document Layout Analysis. It has 415 GitHub stars and 37 forks, and was last updated 18d ago. It's released under the Apache-2.0 license, a standard open-source license.

License
Apache-2.0
Language
Python
Stars
415
Last update
18d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Yes

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eynollah FAQ

Is eynollah free?

Yes. eynollah is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does eynollah run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does eynollah need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is eynollah still maintained?

Yes. It was last updated 18d ago and has 22 open issues on GitHub.

What are alternatives to eynollah?

Similar free, open-source tools include PaddleOCR, ultralytics, Umi-OCR, tesseract.

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