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openai-whisper

Transcribe local audio files into text using the Whisper CLI.

Updated Aug 23, 2026
Search Tags:#cli#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/rebootix-research/viki-clow --skill openai-whisper-rebootix-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/rebootix-research/viki-clow/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/rebootix-research/viki-clow --skill openai-whisper-rebootix-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local speech-to-text conversion for offline transcripts without API keys, enabling private transcription workflows.

Core Features & Use Cases

  • Local transcription using Whisper CLI with offline models
  • Supports multiple input formats and model sizes
  • Use Case: transcribe interviews or podcasts without sending data to remote services

Quick Start

Run whisper on a local audio file to generate a transcription using a chosen Whisper model.

Frequently Asked Questions about openai-whisper

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

FAQPage Schema
How do I transcribe audio locally without sending data to remote services?▼

Transcribe audio locally without remote services by using the Whisper CLI to process files offline. This enables private speech-to-text workflows for diverse media formats without requiring API keys.

Can I use Whisper for offline speech-to-text conversion of podcasts?▼

Yes, Whisper supports offline speech-to-text conversion for podcasts and interviews. The local CLI processes audio files privately without transmitting data to external servers.

Do I need an API key to generate local audio transcripts with Whisper?▼

No API key is needed to generate local audio transcripts with the Whisper CLI. The offline models process speech-to-text conversion entirely on your local machine for private transcription.

What is the best way to automate transcription for development and archival workflows?▼

Automate transcription for development and archival workflows by running the Whisper CLI on local audio files. This provides a CLI-based workflow with model selection and offline operation for private transcripts.

Does local transcription support multiple input formats and different model sizes?▼

Local transcription supports multiple input formats and different model sizes through the Whisper CLI. You can select an appropriate Whisper model to balance processing speed and accuracy for your audio files.

When should I choose local transcription over cloud-based speech-to-text APIs?▼

Choose local transcription over cloud APIs when privacy is required for sensitive interviews or archival media. The offline Whisper CLI processes audio without sending data to remote services, ensuring data confidentiality.

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