Generate accurate English subtitles (SRT files) for your audio and video files using OpenAI Whisper, FastAPI, and Next.js.

• Drag-and-drop or select audio/video files (MP4, MKV, MOV, WMV, AVI, FLV, WEBM, MP3, WAV, M4A, AAC, OGG, OPUS, TS, MTS, 3GP, M4V, MPEG, MPG, and more)
• FastAPI backend with Whisper for transcription
• Real-time status updates, animated progress bar, transcript preview, and download link for generated SRT
• Uploaded files are deleted after processing for privacy
• No user media is stored
• Modern, animated UI/UX: glassmorphism, 3D/hover effects, animated background, custom cursor, toast notifications, entrance/microinteractions

1. Upload a supported media file via the web interface
2. The backend transcribes it with Whisper and generates an SRT
3. Download the SRT as soon as it's ready

• Frontend: Next.js, Tailwind CSS
• Backend: FastAPI, OpenAI Whisper, FFmpeg

1. Clone the repo
2. Install Python and Node.js dependencies
3. Start the FastAPI backend: python3 -m uvicorn main:app --reload --port 8001
4. Start the Next.js frontend:
   • With npm: npm run dev (from frontend/)
   • With pnpm: pnpm dev (from frontend/)
5. Set NEXT_PUBLIC_BACKEND_URL in your frontend .env if backend is not on default http://localhost:8001

• All major video/audio formats supported thanks to Whisper + ffmpeg: MP4, MKV, MOV, WMV, AVI, FLV, WEBM, MP3, WAV, M4A, AAC, OGG, OPUS, TS, MTS, 3GP, M4V, MPEG, MPG, and more.
• For rare formats, ensure ffmpeg is installed and available in your backend environment.

• Uploaded files are deleted immediately after transcription
• SRT files are generated and served for download, not stored long-term

MIT