# Output & Data

Transcripts reach you three ways: human-readable stdout, machine-readable JSONL, and optional WAV clips.

**Stdout** (human-readable):
```
[14:23:45] (es) Hola, cómo estás?  [rms=0.041 end_of_turn]
[14:23:52] (en) What time is it?  [rms=0.038 end_of_turn]
[14:24:10] (es) Gracias por tu ayuda.  [rms=0.052 pause]
```

**JSONL** (one line per utterance; only written when `jsonl = true`):
```json
{"ts": "2025-09-20T14:23:45.123456", "lang": "es", "lang_prob": 0.95, "duration_s": 2.5, "rms": 0.04123, "end_reason": "end_of_turn", "text": "Hola, cómo estás?", "transcribe_s": 0.42}
{"ts": "2025-09-20T14:23:52.654321", "lang": "en", "lang_prob": 0.98, "duration_s": 1.8, "rms": 0.03811, "end_reason": "pause", "text": "What time is it?", "transcribe_s": 0.31}
```

`duration_s` is the length of the utterance audio; `transcribe_s` is the wall-clock
time the worker spent transcribing it (inference latency), rounded to milliseconds.
Their ratio is the real-time factor. The field is omitted if the timing was not
measured (e.g. `emit()` called directly without `transcribe_s`).

`end_reason` is one of `end_of_turn` (full `silence_ms` elapsed), `pause` (chunked at
`chunk_pause_ms` because it passed `soft_max_s`), `hard_cap` (`max_utterance_s`
reached), or `flush` (shutdown mid-utterance).

**Audio files** — when `save_audio = true`, each transcribed utterance is also
written as a 16 kHz mono WAV under `audio_dir/YYYY-MM-DD/`, and the record gains
an `"audio"` field with its path:
```json
{..., "end_reason": "pause", "text": "Hola", "audio": "audio/2025-09-20/142345-123-pause.wav"}
```
Saving is best-effort: if a write fails (e.g. disk full), the transcript is still
emitted and a warning is logged.

> ⚠️ **Disk space** — saved audio is **never rotated or cleaned up** automatically.
> At 16 kHz mono 16-bit it costs 32 KB/s, i.e. **~1.9 MB/min, ~115 MB/hour,
> ~2.8 GB/day** of *continuous speech*. Silence is not written, so real usage is
> lower — but an always-on daemon in a talkative room still accumulates quickly.
> Point `audio_dir` at a volume with headroom and prune it yourself (e.g. a cron
> job removing files older than N days), and leave `save_audio = false` unless you
> actually need the clips for auditing.