media

Audio
Summary
Converter

Generate concise summaries from audio recordings by transcribing speech and synthesizing key points. Supports meeting minutes, podcast summaries, and interview highlights with configurable length and format.

Max file size: 2 GB

Estimated: 2-8 min per hour of audio

6 input formats

How It Works

Upload an audio file or provide a URL.

The audio is transcribed with speaker diarization.

Key topics, decisions, and action items are identified.

An LLM produces a structured summary from the transcript.

The summary is returned in your chosen format.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/team-standup.mp3",
    from_format="audio",
    to_format="summary",
    options={
        "format": "minutes",
        "extract_action_items": True,
        "max_words": 500
    }
)

print(result.summary)
for item in result.action_items:
    print(f"- [{item.assignee}] {item.task}")

Use Cases

Auto-generate meeting minutes with action items

Create podcast episode summaries and show notes

Summarize customer support calls for QA review

Produce interview highlights for research teams

Supported Input Formats

MP3

WAV

FLAC

OGG

AAC

M4A

Quick Info

Categorymedia

Max File Size2 GB

Est. Time2-8 min per hour of audio

Extractoraudio-descriptor

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

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Transcribe audio files into text with high accuracy. Supports speaker diarization, punctuation restoration, timestamps, and over 50 languages. Handles podcasts, calls, meetings, and broadcast audio.

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