/speech-to-text
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio
$ npx -y skills add noizai/skills --skill speech-to-text --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/speech-to-text
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio
SKILL.md
speech-to-text.SKILL.mdname: speech-to-text
description: "Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription."
permissions:
- network
- filesystem
metadata: {"openclaw": {"primaryEnv": "NOIZ_API_KEY"}}speech-to-text
Transcribe any audio file to text. Supports multilingual auto-detection, timestamps, and speaker labels.
Triggers
- transcribe / transcript / transcription
- speech to text / STT / audio to text
- what does this audio say / convert audio
- 转录 / 语音转文字 / 识别音频
Quick Start
# 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
Arguments
| 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). |
Output Format
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}
]
}Supported Languages
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.
Configuration
# 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](https://developers.noiz.ai/api-keys).
Pricing
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.
Security & data disclosure
- **Credential storage**: API key is saved to `~/.config/noiz/api_key` (permissions `0600`). `NOIZ_API_KEY` env var is also supported.
- **Network calls**: The audio file is uploaded to `https://noiz.ai/v1/speech-to-text` for transcription. No data is sent until you run the command.
- **File limits**: Max 50 MB per file, max 10 minutes (600 seconds) of audio.
Requirements
- `requests` package: `pip install requests`
- Get your API key at [developers.noiz.ai](https://developers.noiz.ai/api-keys)
Read more
name: speech-to-text
description: "Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription."
permissions:
- network
- filesystem
metadata: {"openclaw": {"primaryEnv": "NOIZ_API_KEY"}}speech-to-text
Transcribe any audio file to text. Supports multilingual auto-detection, timestamps, and speaker labels.
Triggers
- transcribe / transcript / transcription
- speech to text / STT / audio to text
- what does this audio say / convert audio
- 转录 / 语音转文字 / 识别音频
Quick Start
# 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
Arguments
| 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). |
Output Format
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}
]
}Supported Languages
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.
Configuration
# 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](https://developers.noiz.ai/api-keys).
Pricing
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.
Security & data disclosure
- **Credential storage**: API key is saved to `~/.config/noiz/api_key` (permissions `0600`). `NOIZ_API_KEY` env var is also supported.
- **Network calls**: The audio file is uploaded to `https://noiz.ai/v1/speech-to-text` for transcription. No data is sent until you run the command.
- **File limits**: Max 50 MB per file, max 10 minutes (600 seconds) of audio.
Requirements
- `requests` package: `pip install requests`
- Get your API key at [developers.noiz.ai](https://developers.noiz.ai/api-keys)
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