# Asr Transcribe To Text

Transcribes audio or video to speaker-labeled, timestamped text, locally with MLX on...

- Repository: https://github.com/daymade/claude-code-skills (1509 stars)
- Category: Media
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add daymade/claude-code-skills --skill asr-transcribe-to-text -g -a claude-code -y`
Codex: `npx skills add daymade/claude-code-skills --skill asr-transcribe-to-text -g -a codex -y`
Cursor: `npx skills add daymade/claude-code-skills --skill asr-transcribe-to-text -g -a cursor -y`
Gemini CLI: `npx skills add daymade/claude-code-skills --skill asr-transcribe-to-text -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add daymade/claude-code-skills`

## Description

Transcribes audio or video to speaker-labeled, timestamped text, locally with MLX on Apple Silicon or remotely. Use for 转录 / 录音转文字 / 说话人分离 / 字幕, and also for preparing audio for ASR without transcribing: 转格式, 降采样到 16kHz, merging recorder segments, or compressing and speeding up audio before 飞书妙记, even when it looks like a one-line ffmpeg job.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# ASR Transcribe to Text

Transcribe audio/video to **speaker-labeled** text. Local execution has two
explicit routes. Long or unattended recordings use checkpointed whisper.cpp +
Silero VAD blocks, then late-fuse pyannote speakers. Short/medium recordings may
use the Qwen3-ASR + mlx-whisper alignment route. Neither route cuts ASR input at
diarization turns; speaker attribution happens after continuous-context ASR.

## Route before ASR: the transcript is the result, not the run

**Preserve course videos before choosing an ASR route.** When uploading a course
video, or when the user requires the picture or original media, upload the
original video file with its picture, audio and original speed. Skip Step 2 and
the preprocessing section unless the user explicitly requests conversion.
An existing transcript can satisfy the text request but does not satisfy an
outstanding video upload. Slow transfers or upload failures do not authorize
extracting audio, transcoding or speeding up the video.

Before starting transcription, check the owning project's transcript catalog,
external source index, and declared prior-work carriers for an existing
canonical transcript using source ID, date, title, and entity terms. A verified
human-reviewed/current transcript ends transcription unless the user explicitly
asked for a new independent comparison. Raw audio existing is not a reason to
regenerate text that already exists.

When no canonical transcript exists:

The rest: https://github.com/daymade/claude-code-skills/blob/HEAD/daymade-audio/asr-transcribe-to-text/SKILL.md