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xs:transcriber

Transcribe audio files into text using Whisper models.

136|14|Updated Feb 15, 2026
Search Tags:#speech recognition#transcription#whisper#background processing#audio to text
One-click install
npx skills add https://github.com/karaage0703/ai-assistant-workspace --skill xs-transcriber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xs:transcriber
Source: https://github.com/karaage0703/ai-assistant-workspace/tree/main/skills/transcriber
Command: npx skills add https://github.com/karaage0703/ai-assistant-workspace --skill xs-transcriber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of converting audio files into written text, saving users time and effort in manual transcription.

Core Features & Use Cases

  • Audio to Text Conversion: Transcribes various audio formats (mp3, wav, m4a, ogg, flac) into text files.
  • Model Selection: Offers multiple Whisper models (tiny, base, small, medium, large) to balance speed and accuracy.
  • Background Execution: Supports background processing for long audio files (over 10 minutes).
  • Use Case: Convert meeting recordings, interviews, or voice notes into searchable and editable text documents.

Quick Start

Use the transcriber skill to transcribe the audio file located at /path/to/meeting.mp3 using the base model.

Frequently Asked Questions about xs:transcriber

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

FAQPage Schema
How do I transcribe audio to text using Whisper?▼

To transcribe audio to text using Whisper, you provide an audio file path and select a model size. The skill supports formats like mp3, wav, m4a, ogg, and flac, outputting an editable text document.

Can I transcribe long audio files in the background?▼

Yes, you can transcribe long audio files in the background. For audio files exceeding 10 minutes, the skill runs processing in the background so you can continue other tasks without interruption.

What audio formats are supported for speech recognition?▼

Supported audio formats for speech recognition include mp3, wav, m4a, ogg, and flac. The skill converts these audio files into searchable text using the Whisper model for transcription.

Which Whisper model should I choose for audio transcription?▼

You can choose among tiny, base, small, medium, and large Whisper models for audio transcription. This selection allows you to balance processing speed and accuracy based on your specific requirements.

Does background processing work for converting meeting recordings to text?▼

Background processing works for converting meeting recordings to text. It handles long audio files over 10 minutes by running in the background, ensuring lengthy interviews or meetings are transcribed without blocking.

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