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https://github.com/ybigsur5/textify-an-ocr-file-extractor
Textify is a powerful OCR (Optical Character Recognition) file extractor that converts images into editable text using Python and Tesseract-OCR. This tool is ideal for digitizing printed documents, making it easy to extract and manipulate text from various image formats.
https://github.com/ybigsur5/textify-an-ocr-file-extractor
Last synced: 17 days ago
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Textify is a powerful OCR (Optical Character Recognition) file extractor that converts images into editable text using Python and Tesseract-OCR. This tool is ideal for digitizing printed documents, making it easy to extract and manipulate text from various image formats.
- Host: GitHub
- URL: https://github.com/ybigsur5/textify-an-ocr-file-extractor
- Owner: ybigsur5
- Created: 2024-10-24T01:54:57.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-24T02:11:55.000Z (3 months ago)
- Last Synced: 2024-10-24T18:00:23.707Z (3 months ago)
- Language: Python
- Size: 7.81 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📝 Textify: An OCR File Extractor
A robust Optical Character Recognition (OCR) file extractor that efficiently converts images into editable text using Python and the Tesseract-OCR engine. This tool is designed for developers and users who need to digitize printed documents, enabling seamless text extraction from various image formats.
## ✨ Features
- 🔍 Image to text conversion
- 📄 Multiple format support
- ⚡ Fast processing
- 🎯 High accuracy
- 🔄 Batch processing capability
## 📋 Prerequisites
- 🐍 Python 3.x
- 🖥️ Tesseract-OCR engine
- 📦 Required Python packages
- 💾 Sufficient storage space
## 🚀 Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/textify.git
cd textify
```
2. Install required libraries:
```bash
pip install -r requirements.txt
```
3. Install Tesseract-OCR:
```bash
# Windows
# Download installer from https://github.com/UB-Mannheim/tesseract/wiki
# macOS
brew install tesseract
# Linux
sudo apt-get install tesseract-ocr
```
4. Configure Tesseract Path:
```python
# Update in ocr_extractor.py
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
```
## 💻 Usage
1. Place image files in 'images' directory
2. Run the extractor:
```bash
python ocr_extractor.py
```
3. View extracted text in console 🖥️
## 📁 Project Structure
```
textify/
├── ocr_extractor.py
├── requirements.txt
├── images/
└── .gitignore
```
## ⚙️ Configuration
- 📂 Place images in the 'images' directory
- ⚡ Adjust processing parameters in ocr_extractor.py
- 🔧 Modify Tesseract path as needed
## 🔒 Security Considerations
- ⚠️ Validate input files
- 🛡️ Handle sensitive documents appropriately
- 🔐 Check output permissions
## ⚠️ Limitations
- 📊 Image quality dependent
- 🖼️ Format restrictions
- 💻 System resource usage
## 🚀 Future Enhancements
1. Add batch processing interface
2. Implement more output formats
3. Improve accuracy algorithms
4. Add GUI interface
5. Include language detection
## 👨💻 Author
**Vira**
- 🌐 GitHub: [@ybigsur5](https://github.com/ybigsur5)
- 📧 Email: [email protected]
## 🤝 Contributing
1. Fork the repository
2. Create feature branch
3. Commit changes
4. Push to branch
5. Open pull request
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- 📚 Tesseract-OCR community
- 👥 DigiFoe Community, who helped me to test it in the group session
## ⚠️ Disclaimer
This tool is provided as-is. Ensure proper testing and validation for your specific use case.