Spaces:
Sleeping
Sleeping
| title: Ocr Iitr | |
| emoji: 📚 | |
| colorFrom: yellow | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # OCR Image to Text Converter | |
| ## Overview | |
| This project is an OCR (Optical Character Recognition) application that allows users to extract text from images. It supports multiple languages and provides a user-friendly interface for uploading images, performing OCR, and searching within the extracted text. | |
| ## Features | |
| - Upload images for text extraction | |
| - Support for multiple languages (including Hindi, English, Thai, French, Chinese, Japanese, and Korean) | |
| - Visualize OCR results with bounding boxes around detected text | |
| - Search functionality within the extracted text | |
| - Example images provided for testing | |
| ## Alternative Version | |
| An alternative, ready-to-use version of this OCR application is available on Vercel. You can access it [here](https://iitr-haq-nawaz-maliks-projects.vercel.app/). | |
| ## Technologies Used | |
| - Python | |
| - Gradio (for the web interface) | |
| - EasyOCR (for optical character recognition) | |
| - PIL (Python Imaging Library) | |
| - PyTorch | |
| ## Setup and Installation | |
| 1. Clone this repository: | |
| ``` | |
| git clone https://huggingface.co/spaces/Omarrran/ocr_iitr | |
| cd ocr_iitr | |
| ``` | |
| 2. Install the required dependencies: | |
| ``` | |
| pip install pillow gradio torch easyocr | |
| ``` | |
| 3. Run the application: | |
| ``` | |
| python app.py | |
| ``` | |
| 4. Open your web browser and navigate to the local URL provided by Gradio (usually `http://127.0.0.1:7860`). | |
| ## Usage | |
| 1. Upload an image or select one of the provided examples. | |
| 2. Choose the language(s) for OCR processing. | |
| 3. Click the "Perform OCR" button to extract text from the image. | |
| 4. View the result image with bounding boxes and the extracted text. | |
| 5. Use the search box to find specific text within the extracted content. | |
| ## Example Images | |
| The application includes several example images for testing: | |
| - English text | |
| - Hindi text | |
| - Thai text | |
| - French text | |
| - Chinese text | |
| - Japanese text | |
| - Korean text | |
| These images are automatically downloaded when you run the application. | |
| ## Notes | |
| - The OCR process may take a few seconds to complete, especially for larger or more complex images. | |
| - The accuracy of text extraction may vary depending on the quality of the input image and the complexity of the text. | |
| ## Contributing | |
| Contributions to improve the application are welcome. Please feel free to submit issues or pull requests. | |
| ## License | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |