speech-to-text

NoizAI

Updated 2 days ago

2 views

502

Metaword

About

This skill transcribes audio/video files to text, triggered by terms like 'transcribe' or 'speech to text'. It supports multilingual transcription, speaker identification, and timestamp generation for captions. Developers can use it to extract spoken content from media files with auto-detection capabilities.

Quick Install

Claude Code

Recommended

Primary

npx skills add NoizAI/skills -a claude-code

Plugin CommandAlternative

/plugin add https://github.com/NoizAI/skills

Git CloneAlternative

git clone https://github.com/NoizAI/skills.git ~/.claude/skills/speech-to-text

Copy and paste this command in Claude Code to install this skill

Documentation

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.

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

GitHub Repository

NoizAI/skills

Path: skills/speech-to-text

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

polymarket

Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill

creating-opencode-plugins

Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill