Transcribe audio to text with speaker diarization
This is for now working on telugu s2t transcriptions.
Transcribe audio to text using voice input
ML-powered speech recognition directly in your browser
Transcribe audio to text
Transcribe audio files to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Hebrew audio-to-text by ivirit-ai model
Transcribe audio to text
Faster Whisper Webui is a web-based interface designed to transcribe audio files into text using the Whisper AI model. It is optimized for speed and accuracy, making it ideal for transcribing podcasts, interviews, and other audio content. The tool also supports speaker diarization, which helps identify different speakers in an audio file and label their utterances accordingly.
• Fast transcription: Quickly converts audio to text with high accuracy.
• Speaker diarization: Automatically identifies and labels different speakers.
• Multi-language support: Transcribes audio in multiple languages.
• Timestamps: Provides timestamps for each utterance, allowing precise tracking of when each speaker spoke.
• Adjustable settings: Users can fine-tune settings like transcription accuracy and speed based on their needs.
• Open-source: Free to use and modify for custom applications.
• Optional speaker identification: Can identify specific speakers if their voices are known.
What formats does Faster Whisper Webui support?
Faster Whisper Webui supports common audio formats such as MP3, WAV, and M4A.
Can I use it for languages other than English?
Yes, Faster Whisper Webui supports transcription in multiple languages, including Spanish, French, German, and others.
Is Faster Whisper Webui free to use?
Yes, Faster Whisper Webui is open-source and free to use, though some advanced features may require additional setup or custom configurations.