openai-whisper

Transcribe audio locally using the Whisper CLI without external APIs.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/okbest2024/openclaw-backup --skill openai-whisper-okbest2024
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/okbest2024/openclaw-backup/tree/main/workspace/skills/openai-whisper
Command: npx skills add https://github.com/okbest2024/openclaw-backup --skill openai-whisper-okbest2024

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local transcription without relying on external APIs, enabling privacy and offline operation.

Core Features & Use Cases

  • Local transcription of audio files using the Whisper CLI without network calls.
  • On-device translation and transcription for multilingual audio.
  • Use Case: Researchers, content creators, and developers who require privacy and fast transcripts.

Quick Start

Run whisper on your audio file to transcribe or translate locally.

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 relying on external APIs?

To transcribe audio locally without external APIs, you can use the Whisper CLI to generate transcripts on-device. This ensures privacy, supports offline operation with local caches, and eliminates network calls during transcription.

Can I use Whisper for on-device translation of multilingual audio?

Yes, Whisper supports on-device translation for multilingual audio. By using the local Whisper CLI, you can translate and transcribe audio files directly on your device without needing an internet connection.

Do I need the whisper binary installed to run local speech-to-text transcription?

Yes, local speech-to-text transcription requires the whisper binary to be installed on your device. The binary enables offline operation, allowing you to process audio caches and generate transcripts independently.

What is the best way to select a Whisper model for transcription speed or accuracy?

The best way to balance transcription speed or accuracy is through model selection within the Whisper CLI. You can choose different local models to optimize either the processing speed or the accuracy of your generated transcripts.

Does local audio transcription work completely offline?

Yes, local audio transcription works completely offline. Once the whisper binary is installed, it uses local caches to process audio files and generate transcripts without any network calls, ensuring full offline operation and privacy.