Skills

Speech To Text

Use this skill whenever the user wants to transcribe audio to text, convert speech to...

Install

npx skills add NoizAI/skills --skill speech-to-text -g -a claude-code -y
Repository
NoizAI/skills532
Category
Media
Updated
1mo ago
License
See repository
Context cost
Lightabout 758 tokens
Runs scripts
Yes, review before use

What it does

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.

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

ArgumentDefaultDescription
filerequiredAudio file to transcribe (mp3, wav, m4a, ogg, flac, aac, webm). Max 50 MB, max 10 min.
--language / -lauto-detectBCP-47 language code (e.g. en, zh, ja). Omit to auto-detect.
--output / -ostdoutPath to save transcript text (or JSON if --json is set).
--jsonoffOutput full JSON response with timestamps and speaker labels.
--api-keyfrom env/configNoiz 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

Read the whole SKILL.md on GitHub

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