Converzy - OCR & Translation App

Converzy is a web application that allows users to extract text from images/PDFs and translate them between English and Hindi.

Features

✅ Image & PDF OCR (Optical Character Recognition)
✅ English ↔ Hindi Translation
✅ Real-time Text Editing & Swapping
✅ Image Upload & Direct Screenshot Paste Support

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Getting Started

1. Clone the Repository

git clone https://github.com/yourusername/converzy.git

2. Install Dependencies

cd client
npm install
cd ../server
npm install

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Environment Variables (.env)

Create a .env file inside the server directory and add the following variables:

PORT=3000
GOOGLE_APPLICATION_CREDENTIALS="./vision-key.json"
GOOGLE_PROJECTID=your_project_id
GOOGLE_LOCATION=your_document_ai_location
GOOGLE_PROCESSID=your_document_ai_process_id

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Google Cloud Vision API Setup

1. Enable Google Cloud Vision API

• Go to the Google Cloud Console: https://console.cloud.google.com/
• Create a new project or use an existing one.
• Navigate to APIs & Services → Library.
• Search for "Cloud Vision API" and enable it.

2. Generate API Key & Service Account

• Go to APIs & Services → Credentials.
• Click Create Credentials → Service Account.
• Assign Editor or Owner role.
• Click Create Key → Select JSON.
• Download the vision-key.json file.

3. Move the JSON Key

• Move vision-key.json to your project's server directory.
• Ensure .env inside the server directory has the correct path:

  GOOGLE_APPLICATION_CREDENTIALS="./vision-key.json"
  

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API Endpoints

1. Upload File (OCR)

• Endpoint: POST /ocr/image (for images)
• Endpoint: POST /ocr/pdf (for PDFs)
• Request: Multipart form-data (file)
• Response: Extracted text

2. Translate Text

• Endpoint: POST /translate
• Request Body:

  {
    "text": "Hello",
    "target": "hi"
  }

• Response: Translated text

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Run the Project

Start the Server

cd server
npm run dev

Start the Client

cd client
npm run dev

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License

This project is open-source and free to use.