Josiah-Adesola / text-extraction-azure

OCR Text Extraction with Azure AI and Streamlit

Table of Contents

• Overview
• Demo
• Features
• Getting Started

Overview

This project leverages Azure AI services for Optical Character Recognition (OCR) to extract text from images and PDF documents. The extracted text is then presented through a user-friendly web interface built using Streamlit, allowing users to easily upload and process their files.

Demo

Watch Demo Video

Features

• Text Extraction: Utilizes Azure AI services to accurately extract text from a wide range of images and documents.
• User-Friendly Interface: Streamlit provides an intuitive and interactive interface for users to upload and process their files.
• Customizable: Easily extend or modify the project to suit specific requirements or integrate with other services.

Getting Started

To get started with the project, follow these steps:

1. Clone the Repository:

   git clone https://github.com/AjibolaMatthew1/text-extraction-azure.git

2. Install Dependencies:

   pip install -r requirements.txt

3. Set Up Azure AI Credentials:

   • Obtain Azure AI Cognitive Services API credentials and update the .env file.

4. Run the App:

   streamlit run app.py

   The app will be accessible at http://localhost:8501.

Usage

1. Launch the app by running streamlit run app.py.
2. Open your web browser and go to http://localhost:8501.
3. Upload an image or PDF document.
4. Click the "Extract Text" button.
5. View and copy the extracted text.