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

# Audio to Text

> Transcribe an MP3 conversation with Gemini, labeling each speaker in the output.

Download an MP3, transcribe it with Gemini, and label each speaker in the streamed response.

```python audio_to_text.py theme={null}
"""
Audio To Text
=============================

Audio To Text.
"""

import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.google import Gemini

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=Gemini(id="gemini-3.5-flash"),
    markdown=True,
)

url = "https://agno-public.s3.us-east-1.amazonaws.com/demo_data/QA-01.mp3"

response = requests.get(url)
audio_content = response.content

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # Give a transcript of this audio conversation. Use speaker A, speaker B to identify speakers.

    agent.print_response(
        "Give a transcript of this audio conversation. Use speaker A, speaker B to identify speakers.",
        audio=[Audio(content=audio_content)],
        stream=True,
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno google-genai requests
    ```
  </Step>

  <Step title="Export your Google API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export GOOGLE_API_KEY="your_google_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:GOOGLE_API_KEY="your_google_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `audio_to_text.py`, then run:

    ```bash theme={null}
    python audio_to_text.py
    ```
  </Step>
</Steps>

Full source: [cookbook/02\_agents/12\_multimodal/audio\_to\_text.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/12_multimodal/audio_to_text.py)