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
Similar free tools
PaddleOCR92k stars · Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
ultralytics63k stars · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Umi-OCR48k stars · OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片,PDF文档识别,排除水印/页眉页脚,扫描/生成二维码。内置多国语言库。
tesseract77k stars · Tesseract Open Source OCR Engine (main repository)
deepdoctection3.3k stars · A Repo For Document AI
liteparse13k stars · A fast, helpful, and open-source document parser
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.