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

# Transcription Log Observer

> Logging speech-to-text transcription activity in Pipecat

The `TranscriptionLogObserver` logs all speech-to-text transcription activity in your Pipecat pipeline, providing visibility into both final and interim transcription results.

## Frame Types Monitored

The observer tracks the following frame types (only from STT service):

* **TranscriptionFrame**: Final transcription results
* **InterimTranscriptionFrame**: In-progress transcription results

## Usage

```python theme={null}
from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver

task = PipelineTask(
    pipeline,
    params=PipelineParams(
        observers=[TranscriptionLogObserver()],
    ),
)
```

## Log Output Format

The observer uses consistent formatting with emoji indicators:

* 💬 \[Source] → TRANSCRIPTION: \[text] from \[user\_id]
* 💬 \[Source] → INTERIM TRANSCRIPTION: \[text] from \[user\_id]

All log entries include timestamps for precise timing analysis.