Transcribe audio recordings to text via a Whisper-compatible STT backend.
npx skills add https://github.com/mxzinke/atlas --skill stt-mxzinke
Please help me install this Agent Skill. Skill: stt Source: https://github.com/mxzinke/atlas/tree/main/app/defaults/skills/stt Command: npx skills add https://github.com/mxzinke/atlas --skill stt-mxzinke
Transcribe audio to text from recordings to enable searchable transcripts and improved accessibility.
Transcribe a local audio file to text with the stt tool.
High-intent search queries and answers about installing and using this skill.
To transcribe audio to text, this Skill converts common formats like mp3, m4a, and wav to 16kHz mono WAV before processing them through a Whisper-compatible backend.
Speech-to-text for long recordings is handled by chunking audio into 120-second segments with overlaps to preserve context during transcription.
Yes, you need ffmpeg installed to transcribe audio files, as it is required to convert various input formats into 16kHz mono WAV prior to transcription.
Yes, you can provide language hints when transcribing voice notes to improve transcription accuracy through the Whisper-compatible STT backend.
The best way to transcribe audio from a URL source is using the automatic URL-based input feature, which fetches the remote audio for conversion and transcription.
Audio transcription requires curl and python3 dependencies to fetch URL-based sources and execute the scripts that manage the chunking and Whisper-compatible API processing.
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