Transcribe audio from microphone, file, or YouTube link
Generate realistic-sounding AI voice from text
GPT-SoVITS for MITA!
Convert text to speech with different voices
Generate speech from text
Generate natural-sounding speech from text using OpenAI's API
Convert text to speech with customizable settings
Simple Space for the Kokoro Model
Convert spoken words into text
Moonshine ASR models running on-device, in your web browser.
MP-SENet is a speech enhancement model.
Generate natural-sounding speech from text using a voice you choose
"Designed for all users, including those with disabilities."
Whisper is a speech synthesis tool designed to transcribe audio from various sources, including your microphone, audio files, or even YouTube links. It provides a convenient way to convert spoken content into text, making it ideal for note-taking, captioning, or analyzing audio data.
• Real-time transcription: Capture and transcribe audio as it is being spoken.
• Multi-source input: Supports audio from microphone, uploaded files, or YouTube links.
• High accuracy: Advanced algorithms ensure precise transcription of spoken words.
• Language versatility: Compatible with multiple languages and accents.
• User-friendly interface: Easy to navigate for both beginners and advanced users.
What file formats does Whisper support?
Whisper supports common audio formats like MP3, WAV, and AAC.
Can Whisper transcribe audio in multiple languages?
Yes, Whisper is capable of transcribing audio in multiple languages, making it a versatile tool for global users.
Is Whisper suitable for real-time transcription during meetings or lectures?
Absolutely! Whisper’s real-time transcription feature is perfect for capturing live spoken content, such as meetings, lectures, or interviews.