README
Streamlit OCR with Tesseract and GOT-OCR2_0 Model
This project is a web application built with Streamlit that utilizes Tesseract OCR for optical character recognition. It extracts text from images containing Hindi and English text using a pre-trained model from Hugging Face.
Table of Contents
Features
- Upload images in JPG, PNG, or JPEG formats.
- Extract text from images containing both Hindi and English text.
- View extracted text in real-time.
Technologies Used
- Streamlit: A Python library for creating web applications.
- Tesseract OCR: An open-source OCR engine for text extraction.
- Hugging Face Transformers: A library for natural language processing tasks.
- OpenCV: A library for computer vision tasks.
- Pillow: A Python Imaging Library (PIL) fork for opening, manipulating, and saving image files.
Installation
To run this project locally, follow these steps:
-
Clone the repository:
git clone https://github.com/your_username/ocr-streamlit-app.git cd ocr-streamlit-app
Interface :
Streamlit OCR with Tesseract and GOT-OCR2_0 Model
This project is a web application built with Streamlit that utilizes Tesseract OCR for optical character recognition. It extracts text from images containing Hindi and English text using a pre-trained model from Hugging Face.
Table of Contents
Features
- Upload images in JPG, PNG, or JPEG formats.
- Extract text from images containing both Hindi and English text.
- View extracted text in real-time.
Technologies Used
- Streamlit: A Python library for creating web applications.
- Tesseract OCR: An open-source OCR engine for text extraction.
- Hugging Face Transformers: A library for natural language processing tasks.
- OpenCV: A library for computer vision tasks.
- Pillow: A Python Imaging Library (PIL) fork for opening, manipulating, and saving image files.
Installation
To run this project locally, follow these steps:
-
Clone the repository:
git clone https://github.com/your_username/ocr-streamlit-app.git cd ocr-streamlit-app
Interface:
Samples:
Contributors
27 commits
Similar repos
Languages
Python
100.0%
README
Streamlit OCR with Tesseract and GOT-OCR2_0 Model
This project is a web application built with Streamlit that utilizes Tesseract OCR for optical character recognition. It extracts text from images containing Hindi and English text using a pre-trained model from Hugging Face.
Table of Contents
Features
- Upload images in JPG, PNG, or JPEG formats.
- Extract text from images containing both Hindi and English text.
- View extracted text in real-time.
Technologies Used
- Streamlit: A Python library for creating web applications.
- Tesseract OCR: An open-source OCR engine for text extraction.
- Hugging Face Transformers: A library for natural language processing tasks.
- OpenCV: A library for computer vision tasks.
- Pillow: A Python Imaging Library (PIL) fork for opening, manipulating, and saving image files.
Installation
To run this project locally, follow these steps:
-
Clone the repository:
git clone https://github.com/your_username/ocr-streamlit-app.git cd ocr-streamlit-app
Interface :
Streamlit OCR with Tesseract and GOT-OCR2_0 Model
This project is a web application built with Streamlit that utilizes Tesseract OCR for optical character recognition. It extracts text from images containing Hindi and English text using a pre-trained model from Hugging Face.
Table of Contents
Features
- Upload images in JPG, PNG, or JPEG formats.
- Extract text from images containing both Hindi and English text.
- View extracted text in real-time.
Technologies Used
- Streamlit: A Python library for creating web applications.
- Tesseract OCR: An open-source OCR engine for text extraction.
- Hugging Face Transformers: A library for natural language processing tasks.
- OpenCV: A library for computer vision tasks.
- Pillow: A Python Imaging Library (PIL) fork for opening, manipulating, and saving image files.
Installation
To run this project locally, follow these steps:
-
Clone the repository:
git clone https://github.com/your_username/ocr-streamlit-app.git cd ocr-streamlit-app
Interface:
Samples:
Similar repos
Contributors
27 commits
Languages
Python
100.0%