🤖 AI Document Summarizer

A local AI-powered document summarizer that extracts text from PDF files using OCR, cleans the extracted text, and generates structured summaries with a local Large Language Model (Ollama + Qwen2.5).

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✨ Features

• 📄 Read PDF files
• 🔍 OCR support (Tesseract)
• 🧹 Clean noisy OCR text
• 🤖 Local AI summarization (Ollama)
• 🌍 Persian language support
• 💾 Save extracted text
• 📝 Save AI-generated summaries
• 🔒 Runs completely offline

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🏗️ Architecture

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📸 Screenshots

VS Code Project Structure

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Successful Execution

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Generated Summary

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📂 Project Structure

ai-document-summarizer
│
├── assets
│   ├── architecture.png
│   └── screenshots
│       ├── vscode.png
│       ├── terminal.png
│       └── summary.png
│
├── data
│   ├── input
│   └── output
│
├── docs
│
├── src
│   ├── cleaner.py
│   ├── ocr.py
│   ├── pdf_reader.py
│   ├── summarizer.py
│   └── utils.py
│
├── tests
│
├── app.py
├── requirements.txt
├── README.md
├── LICENSE
├── .gitignore
└── .env.example

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⚙️ Installation

Clone the repository

git clone https://github.com/YOUR_USERNAME/ai-document-summarizer.git

Go to project

cd ai-document-summarizer

Create virtual environment

python -m venv .venv

Activate

macOS / Linux

source .venv/bin/activate

Windows

.venv\Scripts\activate

Install requirements

pip install -r requirements.txt

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▶️ Usage

Run the application

python app.py

Output files will be generated in

data/output/

• normal_text.txt
• ocr_text.txt
• clean_text.txt
• summary.txt

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🛠️ Tech Stack

• Python
• pdfplumber
• pytesseract
• Pillow
• Ollama
• Qwen2.5
• Regex
• pathlib

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🚀 Roadmap

• ✅ PDF Reader
• ✅ OCR
• ✅ Persian OCR
• ✅ Text Cleaner
• ✅ Local AI Summarizer
• ⏳ Telegram Bot
• ⏳ FastAPI
• ⏳ Docker
• ⏳ Web Interface
• ⏳ Multi-language Support

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📄 License

This project is licensed under the MIT License.