ismail-mebsout/Parsing-PDFs-using-YOLOV3
Parsing pdf tables using YOLOV3
- Stars
- 121
- Forks
- 40
- Open issues
- 2
- Last push
- 4mo ago
Parsing-PDFs-using-YOLOV3 star history
+0 this week
About Parsing-PDFs-using-YOLOV3
Parsing-PDFs-using-YOLOV3 is a free, open-source computer vision tool by ismail-mebsout, written mainly in Python. Parsing pdf tables using YOLOV3. It has 121 GitHub stars and 40 forks, and was last updated 4mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 121
- Last update
- 4mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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Parsing-PDFs-using-YOLOV3 FAQ
Can I use Parsing-PDFs-using-YOLOV3 commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is Parsing-PDFs-using-YOLOV3 free?
Yes. Parsing-PDFs-using-YOLOV3 is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Parsing-PDFs-using-YOLOV3 run on a Mac?
Yes. According to the project, Parsing-PDFs-using-YOLOV3 works on macOS.
Does Parsing-PDFs-using-YOLOV3 need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Parsing-PDFs-using-YOLOV3 still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Parsing-PDFs-using-YOLOV3?
Similar free, open-source tools include Stirling-PDF, supervision, yolov3, ultralytics.
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