skills.rest
tamireslaeao-prog
tamireslaeao-progCOMMUNITY
Explore all skills by this author →
GitHub

openai-whisper

Transcribe local audio files to plain text using the Whisper CLI.

Updated Jan 28, 2026
Search Tags:#cli#offline#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/tamireslaeao-prog/ONI_V30 --skill openai-whisper-tamireslaeao-prog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/tamireslaeao-prog/ONI_V30/tree/main/moltbot-main/skills/openai-whisper
Command: npx skills add https://github.com/tamireslaeao-prog/ONI_V30 --skill openai-whisper-tamireslaeao-prog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local speech-to-text processing avoids sending audio to external APIs and eliminates API key requirements, enabling private, offline transcription.

Core Features & Use Cases

  • Local Whisper CLI-based transcription without cloud dependencies.
  • Supports multiple models and configurable output, including plain text transcripts.
  • Suitable for privacy-preserving workflows, offline archiving, and rapid prototyping of voice-driven apps.

Quick Start

Transcribe a local audio file by running whisper with your chosen model to generate a 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 locally without sending data to external APIs?▼

Local audio transcription processes files directly on your machine using the Whisper CLI, eliminating cloud dependencies and API key requirements. It enables private, offline speech-to-text workflows while keeping audio data entirely local.

Do I need an API key to run Whisper speech-to-text processing?▼

No API key is required for local speech-to-text processing with Whisper. The transcription runs offline using the local CLI, ensuring privacy and no external service dependencies for converting audio to text.

Can I use multiple models for offline transcription of audio files?▼

Yes, local speech-to-text processing with Whisper supports multiple models and local caching. You can configure your chosen model to generate plain text transcripts from audio files during offline transcription.

Does local transcription work for privacy-conscious offline workflows?▼

Local transcription is ideal for privacy-conscious workflows requiring offline processing of audio files. It avoids uploading data to external services and supports local caching of models to maintain privacy.

What do I need to start transcribing audio files with Whisper locally?▼

You need the Whisper CLI installed to transcribe audio files locally. Once installed, run Whisper with your chosen model to generate plain text transcripts without external API requirements.

Related Skills

Explore More Software Engineering Skills→
abhiunixabhiunix
1

openai-whisper

Transcribes local audio to text offline using Whisper CLI without API key.

Community
Intermediate
balic-AI-ML-R-D-Resourcesbalic-AI-ML-R-D-Resources

openai-whisper-api

Transcribe audio files to text using OpenAI's Whisper API via curl.

Official
Intermediate
geezerrrrgeezerrrr
117

openai-whisper

Transcribe audio and video files into text or SRT subtitles locally with Whisper CLI.

Community
Basic
bomberoxenviosdosruedasbomberoxenviosdosruedas

agency-voice-ai-integration-engineer

Build speech transcription pipelines using Whisper models and cloud ASR services.

Community
Advanced