speech-to-text

Transcribe audio files to text using ElevenLabs Scribe and Whisper models via the inference.sh CLI.

Updated Jul 28, 2026
One-click install
npx skills add https://github.com/Aadi-110i/PEP-PROJECT --skill speech-to-text-aadi-110i
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speech-to-text
Source: https://github.com/Aadi-110i/PEP-PROJECT/tree/main/skills/speech-to-text
Command: npx skills add https://github.com/Aadi-110i/PEP-PROJECT --skill speech-to-text-aadi-110i

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Converting audio recordings into written text manually is slow and error-prone. This Skill automates speech-to-text transcription, translation, and speaker diarization through hosted AI models accessible from the command line. ## Core Features & Use Cases - Multi-Model Transcription: Choose between ElevenLabs Scribe v2 (diarization, 90+ languages), Fast Whisper Large V3 (speed), or Whisper V3 Large (accuracy). - Timestamps & Translation: Generate timestamped segments for subtitles and translate foreign-language audio into English. - Video Workflows: Extract audio from video files and pipe transcripts into captioning tools. - Use Case: Transcribe a recorded podcast episode with timestamps, then feed the transcript into a captioning app to produce subtitles for the video version. ## Quick Start Transcribe the audio file at this URL to text with timestamps using the speech-to-text skill.

Frequently Asked Questions about speech-to-text

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe audio to text with Whisper?

Run the belt CLI command with an app ID like infsh/fast-whisper-large-v3 and pass an input JSON containing the audio_url. The output returns JSON with the full transcription text and detected language.

ElevenLabs Scribe vs Whisper for transcription, which should I use?

ElevenLabs Scribe v2 offers 98%+ accuracy, speaker diarization, and 90+ languages, making it best for multi-speaker content. Fast Whisper Large V3 is better for quick transcription, while Whisper V3 Large targets highest accuracy.

Can Whisper translate audio to English?

Yes, Whisper V3 Large supports translation by setting the task parameter to translate in the input JSON. This converts non-English audio directly into English text.

How do I transcribe audio from a video file?

First extract the audio using the infsh/video-audio-extractor app, then pass the resulting audio URL to a transcription model. The transcript can then feed into captioning apps for subtitles.

Does speech-to-text transcription support timestamps?

Yes, set the timestamps parameter to true in the input JSON. The output includes a segments field with timestamped portions of the transcription, suitable for subtitle generation.

What languages does Whisper transcription support?

Whisper supports 99+ languages including English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, and Russian. The detected language is returned in the output JSON.