| | --- |
| | title: OCRQuest |
| | emoji: 🔥 |
| | colorFrom: indigo |
| | colorTo: green |
| | sdk: gradio |
| | sdk_version: 4.44.0 |
| | app_file: app.py |
| | pinned: false |
| | --- |
| | Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
| |
|
| | # OCRQuest |
| |
|
| | # OCR and Keyword Search Web Application |
| |
|
| | ## Overview |
| | This project is a web-based prototype that performs Optical Character Recognition (OCR) on an uploaded image containing text in Hindi and English. The application also implements a basic keyword search functionality based on the extracted text. |
| |
|
| | ## Virtual Environment setup |
| | Setup virtual environment using "python -m venv ocr-env" |
| | and activated using "ocr-env\Scripts\activate" |
| |
|
| | ## How can we run locally |
| | Implement ocr and gradio(for user interface) in a python file(here I have app.py) save file and run it. We can run file using terminal by "python app.py" command. Gradio will launch the application and provide a local URL where we can test it in our browser. |
| |
|
| | ## Deployment Process |
| | - I have deployed this application on Hugging Face Spaces. |
| | - To deploy on Hugging Face Spaces: |
| | - 1.Create a repository on Hugging Face under the Spaces tab. |
| | - 2.Add app.py file and requirements.txt file that lists all dependencies |
| | - 3.Push the repository to Hugging Face, and it will automatically deploy the application. |
| |
|
| | ## Features |
| | - Upload an image in JPEG, PNG, or other common formats. |
| | - Extract text from the uploaded image using EasyOCR. |
| | - Search for a keyword in the extracted text. |
| | - Display the extracted text and highlight keyword occurrences. |
| |
|
| | ## Technologies Used |
| | - Python |
| | - EasyOCR |
| | - Gradio |
| | - Huggingface Transformers |
| | - PyTorch |
| | - PIL (Python Imaging Library) |
| |
|
| | ## Setup and Installation |
| |
|
| | 1. Clone this repository: |
| | ```bash |
| | git clone https://github.com/sprakhil/OCR_Project |
| | |
