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Search audio files for keywords with timestamped results. 
augent search <audio> "keyword1,keyword2"
FlagDescription
--model, -mModel size (default: tiny)
--full, -fInclude full transcription in output
--formatOutput format: json, csv, srt, vtt, markdown
--output, -oWrite output to file
--export-clips DIRExtract audio clips around matches
--clip-paddingSeconds before/after each clip (default: 15)
--workers, -wParallel workers for batch processing
--stream, -sStream transcription progress
--no-cacheDisable caching
--quiet, -qSuppress progress messages

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augent transcribe

Full transcription without keyword search. 
augent transcribe <audio>
FlagDescription
--model, -mModel size (default: tiny)
--formatOutput format: json, srt, vtt
--output, -oWrite output to file
--stream, -sStream progress
--no-cacheDisable caching

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augent proximity

Find two keywords appearing near each other. 
augent proximity <audio> "keyword1" "keyword2"
FlagDescription
--distance, -dMax words between keywords (default: 30)
--model, -mModel size
--formatOutput format: json, csv, markdown
--output, -oWrite output to file

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augent memory

Manage transcription memory. 
augent memory stats          # View memory statistics
augent memory list           # List stored transcriptions by title
augent memory clear          # Clear all stored transcriptions
augent memory clear-models   # Clear loaded models from memory

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audio-downloader

Download audio from any video URL. 16 parallel connections, audio-only extraction, no conversion. 
audio-downloader "URL"
audio-downloader "URL1" "URL2" "URL3"
  • aria2c multi-connection downloads (16 parallel connections)
  • Concurrent fragment downloading (4 fragments)
  • No video download, audio extraction only
  • No format conversion, native audio format
Supports YouTube, Vimeo, SoundCloud, Twitter/X, TikTok, Twitch, Reddit, and 1000+ more via yt-dlp.

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Examples

# Download and transcribe
audio-downloader "https://youtube.com/watch?v=xxx"
augent transcribe ~/Downloads/video.webm

# Search with CSV export
augent search podcast.mp3 "open source,self-hosted" --format csv --output results.csv

# Batch process a folder
augent search "*.mp3" "keyword" --workers 4

# Export subtitles
augent transcribe lecture.mp3 --format srt --output subtitles.srt

# Extract audio clips around matches
augent search interview.mp3 "important" --export-clips ./clips --clip-padding 15

# Proximity search
augent proximity podcast.mp3 "problem" "solution" --distance 30