openai-whisper

Transcribe local audio files to TXT or SRT transcripts using Whisper CLI.

588|41|Updated May 13, 2026
One-click install
npx skills add https://github.com/zai-org/Synapse --skill openai-whisper-zai-org
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/zai-org/Synapse/tree/main/.setup/skills/clawhub/skills/openai-whisper
Command: npx skills add https://github.com/zai-org/Synapse --skill openai-whisper-zai-org

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribe spoken audio into text locally without relying on external APIs, preserving privacy and control over data.

Core Features & Use Cases

  • Local transcription with Whisper CLI using offline models.
  • Supports multiple input formats and outputs TXT or SRT transcripts.
  • Use cases include meeting notes, podcasts, and media accessibility.

Quick Start

Transcribe a local audio file to text using whisper.

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 cloud APIs?

Transcribe audio locally by using the Whisper CLI to process spoken audio into text transcripts without relying on cloud APIs. This offline transcription preserves privacy and control over your data for sensitive meeting notes or podcasts.

Can I generate SRT subtitles and TXT transcripts from my podcast files?

Yes, you can generate SRT subtitles and TXT transcripts from your podcast files. The local transcription supports multiple input formats and outputs TXT or SRT transcripts, making it suitable for media accessibility and captions.

Does offline transcription with Whisper CLI keep my meeting notes private?

Offline transcription with Whisper CLI keeps your meeting notes private by processing data locally without external APIs. It preserves privacy and control over data, which is important for confidential audio recordings.

How do I select a default model and configure cache paths for local transcription?

Local transcription provides guidance on selecting a default model and configuring cache paths. Using the Whisper CLI, you can specify model selection and manage cache paths to optimize offline processing for your audio files.

What is the best way to transcribe audio files without an internet connection?

The best way to transcribe audio files without an internet connection is using offline models with the Whisper CLI. It processes spoken audio into text transcripts locally, satisfying CLI usage and model selection for media captions.