Name: Speech To Text
Author: Ömer Karışman

据 AlphaMoat 统计,截至 2026-09,Speech To Text 累计下载 4,606 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 2,069 位,在「设计创意」分类(512 个)中排名第 201 位。

累计安装

144

累计下载

4,606

星标

全站排名

#2,069

全站前 41% · 「设计创意」前 40%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	144	4,388	-	-
SkillHub ↗	140	4,606	-	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

输入音频或从视频提取的音频会由托管的 inference.sh 服务处理。结果以 JSON 返回，可包含转写文本、可选的时间戳片段和检测到的语言。安装路径包含远程 CLI 安装脚本；使用前应检查安装来源并核验校验和。仅提交符合数据处理要求的媒体，并在分享或使用转写内容前复核识别结果。文档翻译示例的目标语言为英文，需要 infsh CLI。

资料发布于 2026-10-29

可以用来做什么

把会议、访谈或语音备忘录转成可检索文本
为播客或视频音频生成带时间戳的字幕素材
将音频转写或翻译为英文文本

什么时候用

能够将音频交由托管推理服务处理时
需要转写文本、语言识别或可选时间戳时
已核验 CLI 安装方式，并会复核输出文本时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

为这段已获准交由托管服务处理的会议录音生成转写审阅清单，并指出应核对的说话内容与时间戳；不要上传或处理音频。

月度数据趋势

累计下载4,606

星标-

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	4,606	—	-
2026-08	4,267	+3.9%	-
2026-07	4,107	+8.9%	-
2026-06	3,771	+6.4%	-
2026-05	3,543	—	-
2026-03	2,587	—	-

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

3.9 KB · ClawHub v0.1.5

---
name: speech-to-text
description: "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"
allowed-tools: Bash(infsh *)
---

# Speech-to-Text

Transcribe audio to text via [inference.sh](https://inference.sh) CLI.

展开全部(共 130 行)

![Speech-to-Text](https://cloud.inference.sh/u/4mg21r6ta37mpaz6ktzwtt8krr/01jz025e88nkvw55at1rqtj5t8.png)

## Quick Start

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

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

> **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available.

## 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

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

### With Timestamps

```bash
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)

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

### From Video

```bash
# 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

```bash
# 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

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

# 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: `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