elevenlabs-stt
利用ElevenLabs Scribe模型进行高精度语音转文本,支持多种语言,提高转录准确性和效率。
npx skills add https://github.com/inferen-sh/skills --skill elevenlabs-sttBefore / After 效果对比
1 组传统语音转文本识别率低,处理复杂音频效果不佳。
高精度语音转文本,准确识别复杂音频,提升工作效率。
elevenlabs-stt
ElevenLabs Speech-to-Text
High-accuracy transcription with Scribe models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (infsh). Install instructions
infsh login
# Transcribe audio
infsh app run elevenlabs/stt --input '{"audio": "https://audio.mp3"}'
Available Models
Model ID Best For
Scribe v2
scribe_v2
Latest, highest accuracy (default)
Scribe v1
scribe_v1
Stable, proven
-
98%+ transcription accuracy
-
90+ languages with auto-detection
Examples
Basic Transcription
infsh app run elevenlabs/stt --input '{"audio": "https://meeting-recording.mp3"}'
With Speaker Identification
infsh app run elevenlabs/stt --input '{
"audio": "https://meeting.mp3",
"diarize": true
}'
Audio Event Tagging
Detect laughter, applause, music, and other non-speech events:
infsh app run elevenlabs/stt --input '{
"audio": "https://podcast.mp3",
"tag_audio_events": true
}'
Specify Language
infsh app run elevenlabs/stt --input '{
"audio": "https://spanish-audio.mp3",
"language_code": "spa"
}'
Full Options
infsh app run elevenlabs/stt --input '{
"audio": "https://conference.mp3",
"model": "scribe_v2",
"diarize": true,
"tag_audio_events": true,
"language_code": "eng"
}'
Forced Alignment
Get precise word-level and character-level timestamps by aligning known text to audio. Useful for subtitles, lip-sync, and karaoke.
infsh app run elevenlabs/forced-alignment --input '{
"audio": "https://narration.mp3",
"text": "This is the exact text spoken in the audio file."
}'
Output Format
{
"words": [
{"text": "This", "start": 0.0, "end": 0.3},
{"text": "is", "start": 0.35, "end": 0.5},
{"text": "the", "start": 0.55, "end": 0.65}
],
"text": "This is the exact text spoken in the audio file."
}
Forced Alignment Use Cases
-
Subtitles: Precise timing for video captions
-
Lip-sync: Align audio to animated characters
-
Karaoke: Word-by-word timing for lyrics
-
Accessibility: Synchronized transcripts
Workflow: Video Subtitles
# 1. Transcribe video audio
infsh app run elevenlabs/stt --input '{
"audio": "https://video.mp4",
"diarize": 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
90+ languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, Turkish, Dutch, Swedish, and many more. Leave language_code empty for automatic detection.
Use Cases
-
Meetings: Transcribe recordings with speaker identification
-
Podcasts: Generate transcripts with audio event tags
-
Subtitles: Create timed captions for videos
-
Research: Interview transcription with diarization
-
Accessibility: Make audio content searchable and accessible
-
Lip-sync: Forced alignment for animation timing
Related Skills
# ElevenLabs TTS (reverse direction)
npx skills add inference-sh/skills@elevenlabs-tts
# ElevenLabs dubbing (translate audio)
npx skills add inference-sh/skills@elevenlabs-dubbing
# Other STT models (Whisper)
npx skills add inference-sh/skills@speech-to-text
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli
Browse all audio apps: infsh app list --category audio
Weekly Installs768Repositoryinferen-sh/skillsGitHub Stars159First Seen1 day agoSecurity AuditsGen Agent Trust HubPassSocketWarnSnykWarnInstalled onclaude-code618gemini-cli540kimi-cli540codex540amp540github-copilot540
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