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transcribe-cli

A modular audio transcription CLI with pluggable providers. Agent-friendly.

Currently supports AssemblyAI with speaker diarization, sentiment analysis, entity detection, auto chapters, summarization, topic detection, and more.

Installation

# With uv (recommended)
uv tool install transcriber-cli

# With pip
pip install transcriber-cli

# Run without installing
uvx --from transcriber-cli transcribe audio.mp3

Or install from source:

git clone https://github.com/miguelarios/transcribe-cli.git
cd transcribe-cli
uv tool install .

Setup

Get an API key from the AssemblyAI Dashboard and set it:

export ASSEMBLYAI_API_KEY='your_key_here'

Or pass it directly: transcribe --api-key <key> audio.mp3

Usage

# Basic transcription (text output to stdout)
transcribe interview.mp3

# JSON output
transcribe interview.mp3 -f json

# With speaker diarization
transcribe meeting.wav --speaker-labels

# SRT subtitles to file
transcribe lecture.mp3 -f srt -o lecture.srt

# Full-featured transcription
transcribe call.m4a --speaker-labels --entities --sentiment -f json

# Pipe JSON to jq
transcribe interview.mp3 -f json | jq '.segments[] | .speaker, .text'

# Agent-friendly summary (saves full transcript to temp file)
transcribe meeting.mp3 --summary

# Transcribe from URL
transcribe https://example.com/audio.mp3

Output Formats

Format Flag Description
text -f text (default) Timestamped text with optional speaker labels
json -f json Full structured data (segments, metadata, entities)
srt -f srt SRT subtitle format
vtt -f vtt WebVTT subtitle format

All Options

Run transcribe -h for the full list. Key options:

Speaker/Diarization

  • --speaker-labels — Enable speaker diarization
  • --speakers-expected N — Exact speaker count
  • --min-speakers N --max-speakers M — Speaker range
  • --speaker-id-type [role|name] — Speaker identification mode
  • --speaker-names NAME — Known speaker names (repeatable)

Analysis

  • --entities — Detect names, locations, dates, etc.
  • --sentiment — Sentiment analysis per utterance
  • --topics — IAB topic detection
  • --auto-chapters — Generate chapters with headlines
  • --summarize — Generate transcript summary
  • --content-safety — Content moderation

Language

  • --language CODE — Language code (e.g., en_us)
  • --language-detection — Auto-detect language

Advanced

  • --prompt TEXT — Context prompt for transcription
  • --keyterms TERM — Domain-specific terms to boost (repeatable)
  • --multichannel — Multichannel transcription
  • --redact-pii — Redact personally identifiable information
  • --filter-profanity — Filter profanity
  • --disfluencies — Include filler words (um, uh)

Output

  • -f, --format [text|json|srt|vtt] — Output format
  • -o, --output PATH — Write to file instead of stdout
  • --summary — Output metadata summary, save full transcript to temp file
  • -v, --verbose — Show progress and timing on stderr

Meta

  • --list-providers — List available transcription providers
  • --api-key KEY — AssemblyAI API key
  • -V, --version — Show version
  • -h, --help — Show help

Development

git clone https://github.com/miguelarios/transcribe-cli.git
cd transcribe-cli
uv run --extra dev pytest tests/ -v

License

MIT

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