transcribe-audio-to-text
Transcribe audio files to text using audinota cli
When & Why to Use This Skill
The transcribe-audio-to-text skill automates the conversion of audio files into accurate text transcripts using the audinota CLI. It is designed to streamline workflows involving voice recordings, podcasts, and video content, providing a bridge between spoken media and searchable, editable text documents.
Use Cases
- YouTube Content Analysis: Automatically transcribe audio extracted from YouTube videos to generate subtitles, summaries, or blog posts.
- Meeting & Interview Documentation: Convert recorded professional meetings or interviews into text for easier record-keeping and information retrieval.
- Podcast Transcription: Transform audio podcast episodes into written transcripts to enhance SEO, accessibility, and content repurposing.
- Voice Note Management: Quickly turn personal voice memos or dictated notes into organized text files for better productivity.
| name | transcribe-audio-to-text |
|---|---|
| description | Transcribe audio files to text using audinota cli |
Transcribe Audio to Text
Convert audio files to text using audinota transcription service.
Usage
# Use default audio file (output from youtube-video-to-audio skill)
python scripts/transcribe_audio.py
# Specify custom audio file
python scripts/transcribe_audio.py --audio-file-path "/path/to/audio.mp3"
Options
--audio-file-path- Path to audio file to transcribe (default: ~/tmp/download_audio_result.mp3)
Examples
# Transcribe default audio file
python scripts/transcribe_audio.py
# Transcribe custom audio file
python scripts/transcribe_audio.py --audio-file-path "~/Music/podcast.mp3"
# Get help
python scripts/transcribe_audio.py -h
Requirements
- Python 3.11+
- audinota installed at
~/Documents/GitHub/audinota-project/.venv/bin/audinota - Audio file must exist at specified path
Integration
This skill works seamlessly with the youtube-video-to-audio skill. By default, it transcribes the audio file downloaded by that skill at ~/tmp/download_audio_result.mp3.