skills.rest
adiytharpansa
adiytharpansaCOMMUNITY
Explore all skills by this author →
GitHub

openai-whisper

Transcribes audio files to text or translated subtitles using the Whisper CLI locally without remote APIs.

Updated Apr 11, 2026
Search Tags:#translation#transcription#whisper#audio#speech-to-text#subtitle
One-click install
npx skills add https://github.com/adiytharpansa/Openclaw-backup --skill openai-whisper-adiytharpansa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/adiytharpansa/Openclaw-backup/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/adiytharpansa/Openclaw-backup --skill openai-whisper-adiytharpansa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of converting spoken audio into text without relying on cloud APIs or external transcription services.

Core Features & Use Cases

  • Local Speech Recognition: Transcribe audio files using the Whisper CLI directly on a local machine.
  • Subtitle and Translation Output: Generate text or translated subtitle formats for recordings, interviews, meetings, and media files.
  • Use Case: Convert a recorded meeting or podcast episode into a searchable transcript while keeping audio processing local.

Quick Start

Use the openai-whisper skill to transcribe the attached audio file into a text transcript.

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 files into text locally without using cloud APIs?▼

You can transcribe audio files locally by using the Whisper command-line tool with downloaded speech recognition models. This approach processes speech-to-text directly on your machine without requiring remote APIs or external transcription services.

Can I generate subtitles and translate audio recordings using local speech recognition?▼

Yes, local speech recognition using the Whisper CLI supports generating text and translated subtitle formats. This allows you to process recordings, interviews, and meetings into searchable transcripts or subtitles entirely offline.

What do I need to set up before transcribing podcasts with Whisper?▼

Before transcribing podcasts, you need to install the Whisper command-line tool and download the required local speech recognition models. These prerequisites enable your machine to process audio files independently without remote API dependencies.

Are there limitations to processing meeting transcription entirely offline?▼

Offline meeting transcription relies entirely on your local hardware capabilities and the downloaded Whisper models. Processing recordings without cloud APIs means computation happens on your machine, so transcription speed depends on your local processing power.

What is the best way to convert recorded media files into searchable transcripts?▼

The best way to convert recorded media files into searchable transcripts is using local speech recognition models via the Whisper CLI. This method keeps audio processing completely local while delivering accurate text outputs for your recordings.

Related Skills

Explore More Content & Communication Skills→
wangqianCAIwangqianCAI

openai-whisper

Transcribe audio files into text using the local Whisper CLI.

Community
Basic
hmzainjamilhmzainjamil
1

Transcription Automation

Convert audio and video recordings into transcripts, subtitles, and meeting notes.

Community
Advanced
mangiapanejohn-devmangiapanejohn-dev
34

openai-whisper

Transcribe audio files to text locally using the Whisper CLI.

Community
Basic
JiayueMeng128JiayueMeng128

openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

Community
Intermediate