openai-whisper

Transcribe audio to text using OpenAI Whisper models locally or via cloud API.

264|11|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/rkz91/coco --skill openai-whisper-rkz91
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/rkz91/coco/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/rkz91/coco --skill openai-whisper-rkz91

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribing audio to text is a common bottleneck in research, media, and product workflows, where long recordings must be converted into searchable, editable transcripts.

Core Features & Use Cases

  • Local CLI mode enables offline transcription without an API key, preserving privacy and reducing latency.
  • Cloud API mode provides fast batch transcription with optional translation and language hints for large datasets.
  • Use Case: convert interviews or meetings into accurate transcripts for notes, summaries, or data extraction.

Quick Start

Transcribe a local audio file with Whisper to generate a text transcript on your device.

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 to text locally without sending data to the cloud?

You can transcribe audio to text locally using the on-device CLI mode of OpenAI Whisper, which enables offline transcription without requiring an API key. This preserves privacy and reduces latency for your private workflow.

What's the best way to batch transcribe large audio datasets with speech-to-text?

Batch transcribing large audio datasets is best handled using the cloud API mode for speech-to-text. This mode provides fast processing with optional translation and language hints, requiring an OPENAI_API_KEY for access.

Does on-device audio transcription work without an internet connection?

On-device audio transcription works completely offline without an internet connection. The local CLI mode operates independently using Whisper models, ensuring privacy and eliminating network latency during speech-to-text processing.

Can I convert interview recordings into searchable text transcripts?

You can convert interview recordings into searchable text transcripts using Whisper speech-to-text. Both local and cloud modes process long recordings, generating accurate transcripts suitable for notes, summaries, or data extraction.

Do I need an OpenAI API key for speech-to-text transcription?

An OpenAI API key is only required for speech-to-text transcription in cloud API mode. Local on-device transcription operates without any API key, relying solely on downloaded Whisper models for offline processing.

How does cloud API speech-to-text differ from on-device transcription?

Cloud API speech-to-text differs from on-device transcription by offering fast batch processing for large datasets with optional translation, while on-device mode prioritizes offline privacy and lower latency without requiring an API key.