App to transcribe your Speech into Text using HF models
Generate speech from text with multiple language support
Generate audio from text in multiple languages
Clone a voice to read text in multiple languages
Generate speech from text and audio sample
Clone voices for multilingual text-to-speech synthesis
Microsoft Edge's Text To Speech
Generate speech from text in multiple languages
Generate multilingual speech using text input
Generate speech from text in multiple languages
Generate audio from text in multiple languages
Fast, efficient, & multilingual text-to-speech
A demo of Sherpa-Onnx Models and in particular the MMS model
Transcribe is an AI-powered app designed to convert speech into text using advanced Hugging Face models. It supports multiple languages, making it a versatile tool for transcription needs. Whether you need to transcribe interviews, meetings, lectures, or other audio content, Transcribe provides accurate and efficient results.
• Multi-language support: Transcribe audio in multiple languages with high accuracy.
• Real-time transcription: Get instantaneous text conversion as the audio plays.
• High accuracy: Leverages cutting-edge Hugging Face models for precise transcription.
• Support for popular formats: Compatible with common audio file formats like MP3, WAV, and more.
• Export options: Easily export transcriptions in text or other formats for further use.
• User-friendly interface: Intuitive design makes transcription straightforward.
• Customizable settings: Adjust settings to suit your specific transcription needs.
What languages does Transcribe support?
Transcribe supports a wide range of languages, including English, Spanish, French, German, and many others.
How accurate is Transcribe?
Transcribe uses state-of-the-art Hugging Face models, ensuring high accuracy. However, accuracy may vary depending on audio quality and background noise.
Can I export the transcribed text?
Yes, you can export the transcribed text in various formats, including TXT, DOCX, or PDF, for easy sharing or editing.