Transcribe voice recordings into text
Hebrew audio-to-text by ivirit-ai model
Generate a 2-speaker podcast from text input or documents!
Transcribe audio to text with speaker diarization
Transcribe audio to text using your microphone
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
ML-powered speech recognition directly in your browser
Transcribe audio to text
Transcribe audio into text
Transcribe audio to text
Whisper Web is a cutting-edge tool designed to transcribe podcast audio into text with remarkable accuracy. Leveraging advanced AI technology, it converts voice recordings into readable text, making it an invaluable resource for content creators, researchers, and anyone needing to transform audio content into a written format.
• High Accuracy: Utilizes state-of-the-art AI models to ensure precise transcription. • Multilingual Support: Transcribes audio in multiple languages, breaking language barriers. • Automatic Punctuation: Adds punctuation for a natural, readable text output. • Speaker Identification: Detects and labels multiple speakers in the audio. • Customizable Settings: Allows adjustments for font size, themes, and more. • Export Options: Export transcriptions in text or DOCX formats for easy sharing. • Real-Time Transcription: Provides on-the-fly transcription for live audio sources.
What file formats does Whisper Web support?
Whisper Web supports common audio formats like MP3, WAV, and M4A.
How accurate is the transcription?
The transcription accuracy is highly reliable due to advanced AI models, though complex audio may require manual corrections.
Can Whisper Web handle real-time transcription?
Yes, Whisper Web offers real-time transcription for live audio inputs.