https://github.com/Pouyaexe/Farsi_PDF

Make editable Persian(Farsi) PDF from Non-Editable ones, using OCR.
https://github.com/Pouyaexe/Farsi_PDF

Last synced: about 2 months ago
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Make editable Persian(Farsi) PDF from Non-Editable ones, using OCR.

• Host: GitHub
• URL: https://github.com/Pouyaexe/Farsi_PDF
• Owner: Pouyaexe
• Created: 2022-08-31T13:17:27.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-21T06:32:47.000Z (over 1 year ago)
• Last Synced: 2024-05-30T12:45:38.807Z (4 months ago)
• Language: Jupyter Notebook
• Size: 55.7 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Farsi_PDF

# PDF OCR

This repository contains a Jupyter Notebook (`PDF_OCR.ipynb`) that converts PDF files into searchable PDFs using OCR (Optical Character Recognition) technology. 

## Requirements

To run the notebook, you need to install the following dependencies:

- `tesseract-ocr`: OCR engine for text recognition.

- `libtesseract-dev`: Development files for the Tesseract OCR library.

- `tesseract-ocr-fas`: Tesseract OCR language data for Persian (Farsi).

- `pytesseract`: Python wrapper for Tesseract OCR.

- `ghostscript`: Interpreter for the PostScript language and the PDF file format.

- `ocrmypdf`: Python tool to add OCR text to PDFs.

You can install these dependencies by running the following commands:

```bash

!apt install tesseract-ocr

!apt install libtesseract-dev

!apt-get install tesseract-ocr-fas

!pip install pytesseract

!apt install ghostscript

!pip install ocrmypdf==13.7.0

```

## Usage

1. Clone the repository:

```bash

git clone https://github.com/your-username/PDF-OCR.git

```

2. Move to the repository directory:

```bash

cd PDF-OCR

```

3. Launch Jupyter Notebook:

```bash

jupyter notebook

```

4. Open the `PDF_OCR.ipynb` notebook in your Jupyter environment.

5. Follow the instructions in the notebook to convert your PDF files to searchable PDFs using OCR.

Note: Make sure to place the PDF files you want to convert in the `input_papers` directory and the converted output files will be saved in the `output_papers` directory.

Feel free to customize the notebook as per your requirements and explore other features of the OCR tools used.