Overview
Features
Fast, lightweight and LLM-friendly
No special ASR models needed, no setup and fighting Python packages, with results in seconds.
High-quality transcriptions
Works with noisy audio, supports 100+ languages, and includes word-level timestamps and speaker separation.
Formats & cloud storage
Out-of-the-box support for a wide variety of formats and cloud storage for audio notes and records.
Collaboration support
Collaborate via Transcribe.com teams feature for shared access and workflows.
Who Is This For?
- LLM developers:Integrate fast transcription into AI assistants to automate workflows and transcripts.
- Claude Desktop users:Install MCP Bundle for one-click integration with Claude Desktop to enable private, local transcription.
- Organizations:Enable organization-wide collaboration on transcripts using Transcribe.com teams for shared access.




