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

# Audio Transcription Team

> Use a two-agent team to transcribe an MP3 with Gemini and analyze the transcript for themes and insights.

Transcribe audio with a team, then analyze the transcript for insights and themes.

## Code

```python audio_to_text.py theme={null}
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.google import Gemini
from agno.team import Team

transcription_specialist = Agent(
    name="Transcription Specialist",
    role="Convert audio to accurate text transcriptions",
    model=Gemini(id="gemini-3.5-flash"),
    instructions=[
        "Transcribe audio with high accuracy",
        "Identify speakers clearly as Speaker A, Speaker B, etc.",
        "Maintain conversation flow and context",
    ],
)

content_analyzer = Agent(
    name="Content Analyzer",
    role="Analyze transcribed content for insights",
    model=Gemini(id="gemini-3.5-flash"),
    instructions=[
        "Analyze transcription for key themes and insights",
        "Provide summaries and extract important information",
    ],
)

# Create a team for collaborative audio-to-text processing
audio_team = Team(
    name="Audio Analysis Team",
    model=Gemini(id="gemini-3.5-flash"),
    members=[transcription_specialist, content_analyzer],
    instructions=[
        "Work together to transcribe and analyze audio content.",
        "Transcription Specialist: First convert audio to accurate text with speaker identification.",
        "Content Analyzer: Analyze transcription for insights and key themes.",
    ],
    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

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

## Usage

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

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

  <Step title="Set environment variables">
    ```bash theme={null}
    export GOOGLE_API_KEY=****
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python audio_to_text.py
    ```
  </Step>
</Steps>