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🖥 PDF CRAFT-a python library for converting PDF (primarily scanned books) in Markdown and EPUB using local AI models and LLM to structure the contents
Github

Basic possibilities

- extracting text and layout
Uses the combination of Doclayout-Yolo and its own algorithms for detecting and filtering headlines, columns, footnotes and page numbers

- Local OCR
Recognizes the text on the page via Onnxocr, supports acceleration on GPU (CUDA)

- Determining the order of reading
With the help of LayoutReader, it builds a flow of text in the order in which it is perceived by a person

- Converting in Markdown
Generates .MD with relative links to images (illustrations, tables, formulas) in the Assets folder

Installation and requirements
Python ≥ 3.10 (recommended 3.10.16).

Pip Install PDF-Craft and PIP Install Onnxruntime == 1.21.0 (or Onnxruntime-GPU == 1.21.0 for CUDA).

For an EPUB conveier, you need access to the LLM service (for example, Deepseek).

🟡 Github


#پایتون #Python #library

🆔 @Python4all_pro



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🖥 PDF CRAFT-a python library for converting PDF (primarily scanned books) in Markdown and EPUB using local AI models and LLM to structure the contents
Github

Basic possibilities

- extracting text and layout
Uses the combination of Doclayout-Yolo and its own algorithms for detecting and filtering headlines, columns, footnotes and page numbers

- Local OCR
Recognizes the text on the page via Onnxocr, supports acceleration on GPU (CUDA)

- Determining the order of reading
With the help of LayoutReader, it builds a flow of text in the order in which it is perceived by a person

- Converting in Markdown
Generates .MD with relative links to images (illustrations, tables, formulas) in the Assets folder

Installation and requirements
Python ≥ 3.10 (recommended 3.10.16).

Pip Install PDF-Craft and PIP Install Onnxruntime == 1.21.0 (or Onnxruntime-GPU == 1.21.0 for CUDA).

For an EPUB conveier, you need access to the LLM service (for example, Deepseek).

🟡 Github


#پایتون #Python #library

🆔 @Python4all_pro

BY پایتون ( Machine Learning | Data Science )


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پایتون Machine Learning | Data Science Telegram | DID YOU KNOW?

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Telegram is riding high, adding tens of million of users this year. Now the bill is coming due.Telegram is one of the few significant social-media challengers to Facebook Inc., FB -1.90% on a trajectory toward one billion users active each month by the end of 2022, up from roughly 550 million today.

Export WhatsApp stickers to Telegram on Android

From the Files app, scroll down to Internal storage, and tap on WhatsApp. Once you’re there, go to Media and then WhatsApp Stickers. Don’t be surprised if you find a large number of files in that folder—it holds your personal collection of stickers and every one you’ve ever received. Even the bad ones.Tap the three dots in the top right corner of your screen to Select all. If you want to trim the fat and grab only the best of the best, this is the perfect time to do so: choose the ones you want to export by long-pressing one file to activate selection mode, and then tapping on the rest. Once you’re done, hit the Share button (that “less than”-like symbol at the top of your screen). If you have a big collection—more than 500 stickers, for example—it’s possible that nothing will happen when you tap the Share button. Be patient—your phone’s just struggling with a heavy load.On the menu that pops from the bottom of the screen, choose Telegram, and then select the chat named Saved messages. This is a chat only you can see, and it will serve as your sticker bank. Unlike WhatsApp, Telegram doesn’t store your favorite stickers in a quick-access reservoir right beside the typing field, but you’ll be able to snatch them out of your Saved messages chat and forward them to any of your Telegram contacts. This also means you won’t have a quick way to save incoming stickers like you did on WhatsApp, so you’ll have to forward them from one chat to the other.

پایتون Machine Learning | Data Science from kr


Telegram پایتون ( Machine Learning | Data Science )
FROM USA