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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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Bitcoin is built on a distributed digital record called a blockchain. As the name implies, blockchain is a linked body of data, made up of units called blocks that contain information about each and every transaction, including date and time, total value, buyer and seller, and a unique identifying code for each exchange. Entries are strung together in chronological order, creating a digital chain of blocks. “Once a block is added to the blockchain, it becomes accessible to anyone who wishes to view it, acting as a public ledger of cryptocurrency transactions,” says Stacey Harris, consultant for Pelicoin, a network of cryptocurrency ATMs. Blockchain is decentralized, which means it’s not controlled by any one organization. “It’s like a Google Doc that anyone can work on,” says Buchi Okoro, CEO and co-founder of African cryptocurrency exchange Quidax. “Nobody owns it, but anyone who has a link can contribute to it. And as different people update it, your copy also gets updated.”

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