> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fluidinference.com/llms.txt
> Use this file to discover all available pages before exploring further.

# CLI Reference

> FluidAudio command-line interface for testing and benchmarking.

## Installation

```bash theme={null}
cd FluidAudio
swift build -c release
# Binary at .build/release/fluidaudio
```

Or run directly:

```bash theme={null}
swift run fluidaudio <command>
```

## Commands

### Transcription

```bash theme={null}
# Batch transcription
fluidaudio transcribe audio.wav
fluidaudio transcribe audio.wav --model-version v2  # English-only

# Multi-stream parallel transcription
fluidaudio multi-stream audio1.wav audio2.wav

# Streaming transcription (Parakeet EOU)
fluidaudio parakeet-eou --input audio.wav --use-cache
```

### Text-to-Speech

```bash theme={null}
fluidaudio tts "Hello from FluidAudio" --output demo.wav --voice af_heart
fluidaudio tts "Custom pronunciation" --lexicon custom.txt --output out.wav
```

### Diarization

```bash theme={null}
# Process a file
fluidaudio process meeting.wav --output results.json --threshold 0.6

# Offline mode
fluidaudio process meeting.wav --mode offline --threshold 0.6

# With ground-truth
fluidaudio process meeting.wav --rttm ground_truth.rttm
```

### Voice Activity Detection

```bash theme={null}
# Offline segmentation
fluidaudio vad-analyze audio.wav

# Streaming
fluidaudio vad-analyze audio.wav --streaming --min-silence-ms 300

# Both modes
fluidaudio vad-analyze audio.wav --mode both
```

### Benchmarks

```bash theme={null}
# ASR benchmark
fluidaudio asr-benchmark --subset test-clean --max-files 100

# FLEURS multilingual
fluidaudio fleurs-benchmark --languages en_us,fr_fr --samples 10

# Diarization benchmark
fluidaudio diarization-benchmark --auto-download
fluidaudio diarization-benchmark --single-file ES2004a --threshold 0.7

# VAD benchmark
fluidaudio vad-benchmark --num-files 40 --threshold 0.5
```

### Dataset Management

```bash theme={null}
fluidaudio download --dataset ami-sdm
fluidaudio download --dataset librispeech-test-clean
fluidaudio download --dataset librispeech-test-other
fluidaudio download --dataset vad
```