From noizai-skills-2
Transcribes audio files to text with auto language detection, speaker labels, and timestamps. Outputs plain text or structured JSON with segment details.
How this skill is triggered — by the user, by Claude, or both
Slash command
/noizai-skills-2:speech-to-textThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Transcribe any audio file to text. Supports multilingual auto-detection, timestamps, and speaker labels.
Transcribe any audio file to text. Supports multilingual auto-detection, timestamps, and speaker labels.
# Transcribe with auto language detection
python3 skills/speech-to-text/scripts/stt.py audio.mp3
# Specify language explicitly
python3 skills/speech-to-text/scripts/stt.py interview.wav --language en
# Save transcript to file
python3 skills/speech-to-text/scripts/stt.py podcast.m4a -o transcript.txt
# Output full JSON (with timestamps and speaker labels)
python3 skills/speech-to-text/scripts/stt.py meeting.wav --json -o result.json
| Argument | Default | Description |
|---|---|---|
file | required | Audio file to transcribe (mp3, wav, m4a, ogg, flac, aac, webm). Max 50 MB, max 10 min. |
--language / -l | auto-detect | BCP-47 language code (e.g. en, zh, ja). Omit to auto-detect. |
--output / -o | stdout | Path to save transcript text (or JSON if --json is set). |
--json | off | Output full JSON response with timestamps and speaker labels. |
--api-key | from env/config | Noiz API key (overrides stored key). |
Without --json, only the transcript text is printed:
Hello, welcome to today's podcast. We have a special guest joining us...
With --json, the full structured response is printed:
{
"language": "en",
"transcript": "Hello, welcome to today's podcast...",
"duration": 42.5,
"segments": [
{"text": "Hello, welcome to today's podcast.", "start": 0.0, "end": 3.2, "spk": 0},
{"text": "We have a special guest joining us.", "start": 3.5, "end": 6.1, "spk": 0}
]
}
Common codes: en (English), zh (Chinese), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), pt (Portuguese), ru (Russian), ar (Arabic). Omit --language to auto-detect.
# Save your API key once
python3 skills/speech-to-text/scripts/stt.py config --set-api-key YOUR_KEY
# Or set via environment variable
export NOIZ_API_KEY=YOUR_KEY
Get your API key at developers.noiz.ai.
Billed at $0.0006 per second of audio. A 10-minute file costs ~$0.36. New accounts include 10,000 free TTS characters; STT is billed separately.
~/.config/noiz/api_key (permissions 0600). NOIZ_API_KEY env var is also supported.https://noiz.ai/v1/speech-to-text for transcription. No data is sent until you run the command.requests package: pip install requestsnpx claudepluginhub noizai/skillsTranscribes audio files using ElevenLabs Scribe v2 with support for 90+ languages, speaker diarization, and word-level timestamps.
Transcribes audio files to text using OpenAI models with optional speaker diarization. Handles known-speaker hints and chunking for long recordings.
Transcribe audio/video to timestamped captions with Gemini (100+ languages) or local Parakeet / SenseVoice models. Trigger on "transcribe", "speech to text", "转录", "语音转文字", "generate captions from audio", or when the user provides an audio/video file with no text. If the YouTube video already has captions, prefer `/lai-youtube`.