CaptionizeIt 🎬📝

CaptionizeIt is a web application that simplifies the process of adding accurate, timestamped captions to media files using AI-powered transcription and editing tools.

🌐 Live Demo

👉 captionizeit.vercel.app

📸 Preview

https://res.cloudinary.com/dfyuhslyv/video/upload/v1747484482/wxzpv42w5gcclwe4y68p.mp4

🚀 Features

• 🎧 AI-powered transcription using WhisperX
• ⏱️ Accurate, timestamped captions
• ✏️ In-browser caption editing interface
• 💾 Download captions in .srt or other formats
• 🌐 Simple and responsive UI
• ☁️ Secure cloud storage via AWS S3
• 🎞️ Seamless caption embedding with FFmpeg

🛠️ Tech Stack

• Frontend: React.js (Vite), Tailwind CSS
• Backend: Node.js, Express.js
• Transcription: WhisperX
• Media Encoding: FFmpeg
• Storage: AWS S3
• Deployment: Vercel

📦 Installation

1. Clone the repository

git clone https://github.com/Riddz04/CaptionizeIt.git
cd CaptionizeIt

2. Install dependencies

npm install

3. Set up environment variables

Create a .env file in the root with the following:

AWS_ACCESS_KEY_ID=your_aws_access_key
AWS_SECRET_ACCESS_KEY=your_aws_secret_key
S3_BUCKET_NAME=your_bucket_name
NEXT_PUBLIC_S3_REGION=your_region

4. Run the development server

npm run dev

Visit http://localhost:5173 to open the app.

🧪 Usage

1. Upload an audio/video file.
2. Let the AI transcribe the speech with timestamps.
3. Edit captions as needed.
4. Export the captions or embed them directly into the video.

🤝 Contributing

Contributions are welcome!

1. Fork the repo
2. Create a branch: git checkout -b feature/your-feature-name
3. Make your changes and commit: git commit -m "Add some feature"
4. Push to the branch: git push origin feature/your-feature-name
5. Open a Pull Request

📄 License

This project is licensed under the MIT License.

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Made with ❤️ by @Riddz04