whisper
OfficialTranscribe audio to text with OpenAI Whisper.
Authortrpc-group
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transcribing hours of audio manually is time-consuming and error-prone. This skill provides fast, accurate transcription of audio files into text using Whisper, enabling quick content indexing, search, and accessibility.
Core Features & Use Cases
- Transcribes audio files to text across multiple languages with automatic language detection.
- Supports optional timestamps and outputs in plain text or JSON for downstream processing.
- Use Case: generate meeting transcripts, captions, or searchable archives from audio recordings.
Quick Start
Run the transcription script with your audio file and an output path. Example: python3 scripts/transcribe.py input.mp3 output.txt --model base --format text
Dependency Matrix
Required Modules
openai-whisper
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: whisper Download link: https://github.com/trpc-group/trpc-agent-go/archive/main.zip#whisper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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