How do I install the Speech To Text skill?

Run npx skillmds@latest add kbarbel640-del/speech-to-text in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Speech To Text safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: WARNING. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Speech To Text?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Speech To Text free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Speech To Text?

kbarbel640-del (@kbarbel640-del) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Speech To Text by kbarbel640-del — Agent Skill

Name: Speech To Text
Rating: 4.5 (4 reviews)
Author: kbarbel640-del

Speech To Text

Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. 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

kbarbel640-del Updated Sep 8, 2026 1 repo stars

File contents

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

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

Available Models

Model	App ID	Best For
Fast Whisper V3	`infsh/fast-whisper-large-v3`	Fast transcription
Whisper V3 Large	`infsh/whisper-v3-large`	Highest accuracy

Examples

Basic Transcription

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

With Timestamps

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

# {
#   "audio_url": "https://podcast.mp3",
#   "timestamps": true
# }

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

Translation (to English)

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

From Video

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

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

Workflow: Video Subtitles

# 1. Transcribe video audio
infsh app run infsh/fast-whisper-large-v3 --input '{
  "audio_url": "https://video.mp4",
  "timestamps": true
}' > transcript.json

# 2. Use transcript for captions
infsh app run infsh/caption-videos --input '{
  "video_url": "https://video.mp4",
  "captions": "<transcript-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

# Full platform skill (all 150+ apps)
npx skills add inference-sh/agent-skills@inference-sh

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

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

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

Browse all audio apps: infsh 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

---name: speech-to-textdescription: Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. 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---# Speech-to-TextTranscribe audio to text via [inference.sh](https://inference.sh) CLI.## Quick Start```bashcurl -fsSL https://cli.inference.sh | sh && infsh logininfsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}'```## Available Models| Model | App ID | Best For ||-------|--------|----------|| Fast Whisper V3 | `infsh/fast-whisper-large-v3` | Fast transcription || Whisper V3 Large | `infsh/whisper-v3-large` | Highest accuracy |## Examples### Basic Transcription```bashinfsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://meeting.mp3"}'```### With Timestamps```bashinfsh app sample infsh/fast-whisper-large-v3 --save input.json# {# "audio_url": "https://podcast.mp3",# "timestamps": true# }infsh app run infsh/fast-whisper-large-v3 --input input.json```### Translation (to English)```bashinfsh app run infsh/whisper-v3-large --input '{ "audio_url": "https://french-audio.mp3", "task": "translate"}'```### From Video```bash# Extract audio from video firstinfsh app run infsh/video-audio-extractor --input '{"video_url": "https://video.mp4"}' > audio.json# Transcribe the extracted audioinfsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "<audio-url>"}'```## Workflow: Video Subtitles```bash# 1. Transcribe video audioinfsh app run infsh/fast-whisper-large-v3 --input '{ "audio_url": "https://video.mp4", "timestamps": true}' > transcript.json# 2. Use transcript for captionsinfsh app run infsh/caption-videos --input '{ "video_url": "https://video.mp4", "captions": "<transcript-from-step-1>"}'```## Supported LanguagesWhisper 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 FormatReturns JSON with:- `text`: Full transcription- `segments`: Timestamped segments (if requested)- `language`: Detected language## Related Skills```bash# Full platform skill (all 150+ apps)npx skills add inference-sh/agent-skills@inference-sh# Text-to-speech (reverse direction)npx skills add inference-sh/agent-skills@text-to-speech# Video generation (add captions)npx skills add inference-sh/agent-skills@ai-video-generation# AI avatars (lipsync with transcripts)npx skills add inference-sh/agent-skills@ai-avatar-video```Browse all audio apps: `infsh app list --category audio`## Documentation- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI- [Audio Transcription Example](https://inference.sh/docs/examples/audio-transcription) - Complete transcription guide- [Apps Overview](https://inference.sh/docs/apps/overview) - Understanding the app ecosystem

Frequently asked questions