🧠 Local Text Extraction from PDF using Tesseract OCR

This offline Python project extracts text from PDF documents using Tesseract OCR and pdf2image, without relying on any cloud API like IBM Watsonx.

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📦 Features

• Convert PDFs to images
• Use Tesseract to extract text from each page
• Save output as a structured JSON file
• Fully local — no cloud credentials required

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📂 Folder Structure

.
├── text_extraction_local.py       # Main script
├── requirements_local.txt         # Local-only dependencies
├── README.md                      # Project documentation
└── sample/                        # Input/output folder
    ├── input.pdf
    └── output.json

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🔧 Installation & Setup

1. Install system tools

   • Install Tesseract OCR
   • Install poppler (required by pdf2image)
     • Windows: Poppler for Windows
     • macOS: brew install poppler
     • Linux: sudo apt install poppler-utils

2. Clone the repo & install dependencies

   git clone https://github.com/yourusername/Local-PDF-Text-Extractor.git
   cd Local-PDF-Text-Extractor
   pip install -r requirements_local.txt

3. Run the script

   python text_extraction_local.py

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📈 Output Format (JSON)

Each PDF page is processed into:

[
  {
    "page": 1,
    "text": "Extracted text from page 1..."
  },
  ...
]

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🔒 License

MIT License — Free to use and modify.