Transcribe audio to text with speaker diarization
Transcribe audio to text
Transcribe voice recordings into text
voice to text
Generate podcast audio from text or documents
Transcribe audio into text
This is for now working on telugu s2t transcriptions.
Speech recognition with whisper
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio files into text
Transcribe audio to text
Faster Whisper Webui is a web-based interface designed to transcribe podcast audio into text with speaker diarization. Built on top of the Whisper AI model, it provides a user-friendly and efficient solution for converting audio content into readable text while identifying and labeling speakers. It is optimized for speed and accuracy, making it ideal for podcast transcriptions.
• Real-time Audio Transcription: Transcribes audio files quickly and accurately. • Speaker Diarization: Identifies and labels different speakers in the audio. • Multi-Language Support: Supports transcription in multiple languages. • User-Friendly Interface: Easy-to-use web interface for uploading and managing audio files. • Visualizations: Includes visual representations of the transcription and speaker segments. • Export Options: Allows exporting transcriptions in various formats for flexibility. • Containerized Deployment: Comes as a Docker container for easy setup and deployment.
What audio formats are supported?
Faster Whisper Webui supports WAV, MP3, and M4A audio formats.
Can I customize the transcription settings?
Yes, you can customize settings such as the language of the audio and the output format.
How do I deploy Faster Whisper Webui locally?
Deploy it using Docker by running the command docker run -p 5000:5000 faster-whisper-webui:latest
and accessing it via your web browser.