Transcribe audio from microphone, file, or YouTube link
Transcribe Persian audio to text
Transcribe YouTube videos to text
IndicParler_TTS for Urdu_Punjabi & Sindhi
Generate audio from text or modify voice pitch
Transcribe audio with emotions and events
Generate speech from text or files
A demo of Indic Parler-TTS
Generate natural-sounding speech from text using OpenAI's API
Accessibility PDF & pasted text to speech converter w/ gTTs
"Designed for all users, including those with disabilities."
Transcribe voice to text
MP-SENet is a speech enhancement model.
Whisper is an advanced speech synthesis tool designed to transcribe audio from various sources, including your microphone, audio files, or even YouTube links. It offers a versatile solution for converting spoken words into text, making it ideal for interviews, lectures, meetings, and more.
• Real-time transcription: Capture and transcribe audio as it happens.
• Multi-source support: Works with microphone input, uploaded files, and YouTube links.
• High accuracy: Delivers precise transcription with minimal errors.
• Speaker identification: Detects and labels different speakers in multi-speaker audio.
• Translation capabilities: Translates transcribed text into multiple languages.
• Customizable settings: Adjust settings like transcription speed and format.
• Support for multiple formats: Compatible with popular audio formats (e.g., MP3, WAV).
• Cross-language support: Transcribes audio in multiple languages.
What formats does Whisper support for audio files?
Whisper supports popular formats like MP3, WAV, and OGG.
Can I use Whisper offline?
Yes, Whisper can work offline, but some advanced features like translation may require internet access.
How accurate is Whisper's transcription?
Whisper is known for its high accuracy, but precision may vary depending on audio quality and background noise.