Transcribe
Integrates AI-powered transcription capabilities directly into large language model assistants.
About
Transcribe seamlessly connects with AI assistants like Claude, Windsurf, and Cursor, empowering them to automate transcription tasks efficiently. Its local server enables quick processing of both local files and public URLs, delivering high-quality, fast, and lightweight transcriptions in seconds. The service supports over 100 languages, offers word-level timestamps, speaker separation, and various output formats, alongside cloud storage and team collaboration features.
Key Features
- High-quality transcription for over 100 languages with word-level timestamps and speaker separation
- 0 GitHub stars
- Local server for transcribing local audio files directly
- Support for various audio formats and cloud storage
- Collaboration support via Transcribe.com teams feature
- Fast, lightweight, and LLM-friendly transcription
Use Cases
- Automating audio-to-text conversion within AI assistant workflows
- Generating precise transcripts with speaker identification from diverse audio sources
- Processing local audio files for quick transcription using AI