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

# Recordings & Transcripts

> Retrieve call audio and per-turn transcripts - with per-stage latency timing - after calls end.

Every call can leave two artifacts: an audio **recording** (when the Speech
Pipe has `recording=True`) and a turn-by-turn **transcript**. Both are
retrieved through the Management API.

## Recordings

```python theme={null}
from unpod import AsyncClient

client = AsyncClient()

sessions = await client.recordings.list()              # all
sessions = await client.recordings.list(call_id=cid)   # one call
```

`recordings.list()` returns the **sessions** that have a recording; read the
download URL off each one:

```python theme={null}
s.session_id     # str
s.call_id        # str | None
s.duration_s     # int | None
s.recording_url  # str | None - download / stream URL
```

<Note>
  Pause and resume recording during a live call (e.g. around card numbers) with
  `ctx.session.recording.pause(reason=...)` / `.resume()` - see
  [AgentRunner & Sessions](/speech-stack/agent-runner#recording-control).
</Note>

## Transcripts

```python theme={null}
sessions = await client.transcripts.list()       # sessions that have a transcript
session = await client.transcripts.get(session_id)
```

`transcripts.list()`/`.get()` return **sessions**; the turns live on
`session.transcript`:

```python theme={null}
for entry in session.transcript:
    print(entry.role, entry.content)   # role: "agent" | "user"
    entry.timestamp                    # datetime | None
```

This is the post-call complement to the live metrics in
[Observability](/speech-stack/observability).