据 AlphaMoat 统计,截至 2026-09,Elevenlabs Transcribe 累计下载 3,766 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,826 位,在「设计创意」分类(512 个)中排名第 260 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 121 | 3,766 | 2 | - |
| SkillHub ↗ | 208 | 3,764 | 2 | — |
各平台的计数口径不同,统计时间不一致。
支持批量转录、通过链接实时处理、麦克风输入和本地音频文件。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
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 | 3,766 | — | 2 |
| 2026-08 | 3,609 | +5.0% | 2 |
| 2026-07 | 3,437 | +8.5% | 2 |
| 2026-06 | 3,167 | +4.8% | 2 |
| 2026-05 | 3,023 | — | 2 |
| 2026-03 | 2,489 | — | 2 |
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。
---
name: elevenlabs-transcribe
description: Transcribe audio to text using ElevenLabs Scribe. Supports batch transcription, realtime streaming from URLs, microphone input, and local files.
homepage: https://elevenlabs.io/speech-to-text
metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["ffmpeg","python3"],"env":["ELEVENLABS_API_KEY"]},"primaryEnv":"ELEVENLABS_API_KEY"}}
---
# ElevenLabs Speech-to-Text
> **Official ElevenLabs skill for speech-to-text transcription.**
Convert audio to text with state-of-the-art accuracy. Supports 90+ languages, speaker diarization, and realtime streaming.
## Prerequisites
- **ffmpeg** installed (`brew install ffmpeg` on macOS)
- **ELEVENLABS_API_KEY** environment variable set
- Python 3.8+ (dependencies auto-install on first run)
## Usage
```bash
{baseDir}/scripts/transcribe.sh <audio_file> [options]
{baseDir}/scripts/transcribe.sh --url <stream_url> [options]
{baseDir}/scripts/transcribe.sh --mic [options]
```
## Examples
### Batch Transcription
Transcribe a local audio file:
```bash
{baseDir}/scripts/transcribe.sh recording.mp3
```
With speaker identification:
```bash
{baseDir}/scripts/transcribe.sh meeting.mp3 --diarize
```
Get full JSON response with timestamps:
```bash
{baseDir}/scripts/transcribe.sh interview.wav --diarize --json
```
### Realtime Streaming
Stream from a URL (e.g., live radio, podcast):
```bash
{baseDir}/scripts/transcribe.sh --url https://npr-ice.streamguys1.com/live.mp3
```
Transcribe from microphone:
```bash
{baseDir}/scripts/transcribe.sh --mic
```
Stream a local file in realtime (useful for testing):
```bash
{baseDir}/scripts/transcribe.sh audio.mp3 --realtime
```
### Quiet Mode for Agents
Suppress status messages on stderr:
```bash
{baseDir}/scripts/transcribe.sh --mic --quiet
```
## Options
| Option | Description |
|--------|-------------|
| `--diarize` | Identify different speakers in the audio |
| `--lang CODE` | ISO language hint (e.g., `en`, `pt`, `es`, `fr`) |
| `--json` | Output full JSON with timestamps and metadata |
| `--events` | Tag audio events (laughter, music, applause) |
| `--realtime` | Stream local file instead of batch processing |
| `--partials` | Show interim transcripts during realtime mode |
| `-q, --quiet` | Suppress status messages (recommended for agents) |
## Output Format
### Text Mode (default)
Plain text transcription:
```
The quick brown fox jumps over the lazy dog.
```
### JSON Mode (`--json`)
```json
{
"text": "The quick brown fox jumps over the lazy dog.",
"language_code": "eng",
"language_probability": 0.98,
"words": [
{"text": "The", "start": 0.0, "end": 0.15, "type": "word", "speaker_id": "speaker_0"}
]
}
```
### Realtime Mode
Final transcripts print as they're committed. With `--partials`:
```
[partial] The quick
[partial] The quick brown fox
The quick brown fox jumps over the lazy dog.
```
## Supported Formats
**Audio:** MP3, WAV, M4A, FLAC, OGG, WebM, AAC, AIFF, Opus
**Video:** MP4, AVI, MKV, MOV, WMV, FLV, WebM, MPEG, 3GPP
**Limits:** Up to 3GB file size, 10 hours duration
## Error Handling
The script exits with non-zero status on errors:
- **Missing API key:** Set `ELEVENLABS_API_KEY` environment variable
- **File not found:** Check the file path exists
- **Missing ffmpeg:** Install with your package manager
- **API errors:** Check API key validity and rate limits
## When to Use Each Mode
| Scenario | Command |
|----------|---------|
| Transcribe a recording | `./transcribe.sh file.mp3` |
| Meeting with multiple speakers | `./transcribe.sh meeting.mp3 --diarize` |
| Live radio/podcast stream | `./transcribe.sh --url <url>` |
| Voice input from user | `./transcribe.sh --mic --quiet` |
| Need word timestamps | `./transcribe.sh file.mp3 --json` |
ContextWeave 架构图一键生成
用 Nano Banana Pro 生成或编辑图片的脚本技能。
用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
通过 MCP 服务生成与编辑图表的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
面向多家视频模型 API 的 AI 视频生成与编排技能。
用 ffmpeg 从视频里取出画面帧,或生成便于快速查看的缩略图。
用本地 Whisper 把音频文件转成文字,模型下载完成后可完全离线运行。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。