Transcribe Panel is an interface for local and cloud transcription models for comparing their output speed, quality and pricing.
Try it here: https://landonikko.github.io/Transcribe-Panel
The hosted version is a local interface that works by using your own API keys and caches the data in your browser.
For testing local models, see the Python Setup.
Local Models (OpenAI Whisper)
- Tiny, Base, Small, Medium, Turbo, Large
Cloud Models (Bring Your Own API Key)
- OpenAI: Whisper-1, GPT-4o, GPT-4o Mini
- 4o supports custom prompting for translations and localization
- Deepgram: Nova-3
- With AI summarization & topic detection
- Gladia: Gladia
- ElevenLabs: Scribe-v1
Smart Features
- Batch Processing: Queue multiple files
- Media Player: Audio/video preview with waveform visualization
- Live Sync: Transcript segments are highlighted by audio position
- Multiple Formats: SRT, VTT, TSV, plain text, numbered segments
- Cost Calculator: API pricing estimates per file
- UI Themes: E Ink, Nova, Minty, Toffee
- Statistics: Word count, character count, processing time
All cloud providers offer free starting credits, with some offering monthly refills:
API keys can be stored in your browser the same way your passwords are saved.
- Python 3.8+
- PyTorch (install from pytorch.org)
- FFmpeg
- Modern web browser
-
Clone the repository
git clone https://github.com/LandoNikko/Transcribe-Panel.git cd Transcribe-Panel
-
Install Python dependencies
pip install -r requirements.txt
-
Install FFmpeg (required for media processing)
- Windows: Download from ffmpeg.org
- macOS:
brew install ffmpeg
- Linux:
sudo apt install ffmpeg
-
Run the application
python Launch_Transcribe_Panel.py
Open
http://localhost:5000
in your browser
- Local models: No internet required, complete privacy. Relies on your hardware (GPU vram), so transcriptions can be slow.
- Cloud models: Fast, advanced features, requires API keys. Costs, but very cheap. Can be used heavily with just free credits.
- File support: Most audio/video formats (MP3, WAV, MP4, etc.)
- Batch mode: Select multiple files and process them sequentially.
- Export options: Copy to clipboard or download in various formats.
MIT License - see LICENSE file.