Speech To Text

Organization

inference-sh

speech-to-text

Transcribe audio to text with ElevenLabs Scribe and Whisper models via inference.sh CLI. Models: ElevenLabs Scribe v2 (98%+ accuracy, diarization), Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps, speaker diarization, audio event tagging. Use for: meeting transcription, subtitles, podcast transcripts, voice notes. Triggers: speech to text, transcription, whisper, audio to text, transcribe audio, voice to text, stt, automatic transcription, subtitles generation, transcribe meeting, audio transcription, whisper ai, elevenlabs stt, scribe, eleven labs transcribe

Overview

Publisher	inference-sh
Repository	`skills`
Skill name	`speech-to-text`
Stars	790
Forks	106
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by inference-sh on GitHub. Read the source before you install it.

Installation

Install the Speech To Text AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/inference-sh/skills/tree/main/tools/audio/speech-to-text
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/audio/speech-to-text .claude/skills/speech-to-text

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Speech To Text in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Speech To Text on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Speech To Text is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Install the belt CLI skill: npx skills add belt-sh/cli

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

belt app run infsh/fast-whisper-large-v3 --input '{"audio": "https://audio.mp3"}'

Available Models

Model	App ID	Best For
ElevenLabs Scribe v2	`elevenlabs/stt`	98%+ accuracy, diarization, 90+ languages
Fast Whisper V3	`infsh/fast-whisper-large-v3`	Fast transcription
Whisper V3 Large	`infsh/whisper-v3-large`	Highest accuracy

Examples

Basic Transcription

bash
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "https://meeting.mp3"}'

With Timestamps

bash
belt app sample infsh/fast-whisper-large-v3 --save input.json

# {
#   "audio": "https://podcast.mp3",
#   "return_timestamps": "sentence"
# }

belt app run infsh/fast-whisper-large-v3 --input input.json

Translation (to English)

bash
belt app run infsh/whisper-v3-large --input '{
  "audio": "https://french-audio.mp3",
  "task": "translate"
}'

From Video

bash
# Extract audio from video first
belt app run infsh/video-audio-extractor --input '{"video_file": "https://video.mp4"}' > audio.json

# Transcribe the extracted audio
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "<audio-url>"}'

Workflow: Video Subtitles

bash
# 1. Transcribe video audio
belt app run infsh/fast-whisper-large-v3 --input '{
  "audio": "https://video.mp4",
  "return_timestamps": "sentence"
}' > transcript.json

# 2. Pass the transcript segments as captions
belt app run infsh/caption-videos --input '{
  "video_file": "https://video.mp4",
  "segments": [{"start": 0.0, "end": 2.5, "text": "<segments-from-step-1>"}]
}'

Supported Languages

Whisper supports 99+ languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more.

Use Cases

Meetings: Transcribe recordings
Podcasts: Generate transcripts
Subtitles: Create captions for videos
Voice Notes: Convert to searchable text
Interviews: Transcription for research
Accessibility: Make audio content accessible

Output Format

Returns JSON with:

text: Full transcription
segments: Timestamped segments (if requested)
language: Detected language

Related Skills

bash
# ElevenLabs STT (98%+ accuracy, diarization)
npx skills add inference-sh/skills@elevenlabs-stt

# ElevenLabs TTS (reverse direction)
npx skills add inference-sh/skills@elevenlabs-tts

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# Text-to-speech (reverse direction)
npx skills add inference-sh/skills@text-to-speech

# Video generation (add captions)
npx skills add inference-sh/skills@ai-video-generation

# AI avatars (lipsync with transcripts)
npx skills add inference-sh/skills@ai-avatar-video

Browse all audio apps: belt app list --category audio

Documentation

Running Apps - How to run apps via CLI
Audio Transcription Example - Complete transcription guide
Apps Overview - Understanding the app ecosystem

Frequently asked questions

What does the Speech To Text AI skill do?

Why use Speech To Text on TypingMind?

Because you install it once and use it with any model. Speech To Text is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Speech To Text in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/tools/audio/speech-to-text. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Speech To Text?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Speech To Text?

As many as you like. As long as a model supports skills, you can use Speech To Text with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Speech To Text AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Speech-to-Text

Quick Start

Available Models

Examples

Basic Transcription

With Timestamps

Translation (to English)

From Video

Workflow: Video Subtitles

Supported Languages

Use Cases

Output Format

Related Skills

Documentation

Frequently asked questions

Related AI Skills

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