Mixpeek Logo
    Login / SignupDemo
    media

    Audio
    Chapters
    Converter

    Automatically segment audio recordings into topic-based chapters with titles, timestamps, and summaries. Uses speech transcription combined with topic modeling to detect natural topic boundaries in podcasts, lectures, meetings, and audiobooks.

    Max file size: 2 GB
    Estimated: 2-8 min per hour of audio
    5 input formats

    How It Works

    1

    Upload an audio file or provide a URL to the Mixpeek API.

    2

    The audio is transcribed with speaker diarization and sentence-level timestamps.

    3

    Topic modeling identifies semantic shift points where the subject matter changes.

    4

    An LLM generates a descriptive title and brief summary for each detected chapter.

    5

    Chapters are returned with start/end timestamps, titles, and summaries.

    Code Examples

    from mixpeek import Mixpeek
    

    client = Mixpeek(api_key="YOUR_API_KEY")
    

    result = client.convert(
        source="https://example.com/podcast-ep15.mp3",
        from_format="audio",
        to_format="chapters",
        options={
            "min_chapter_duration": 120,
            "max_chapter_duration": 1800,
            "include_summaries": True,
            "title_style": "descriptive"
        }
    )
    

    for chapter in result.chapters:
        print(f"[{chapter.start_time}s] {chapter.title}")
        print(f"  {chapter.summary}")

    Use Cases

    Generate chapter markers for podcast episodes on Apple Podcasts and Spotify
    Create navigable table-of-contents for recorded lectures and webinars
    Segment long audiobooks into listenable chapters
    Build topic-based indexes for meeting recording archives

    Supported Input Formats

    MP3
    WAV
    FLAC
    OGG
    AAC

    Quick Info

    Categorymedia
    Max File Size2 GB
    Est. Time2-8 min per hour of audio
    Extractoraudio-transcriber

    Try This Conversion

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

    Frequently Asked Questions

    Related Converters

    Audio
    Text

    Audio to Text

    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.

    Audio
    Summary

    Audio to Summary

    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.

    Audio
    Keywords

    Audio to Keywords

    Extract semantically relevant keywords and key phrases from audio recordings. Transcribes speech, identifies salient terms using NLP, and ranks them by relevance and frequency. Ideal for content tagging, topic detection, and search optimization.

    Video
    Chapters

    Video to Chapters

    Automatically segment videos into topic-based chapters with titles, timestamps, and summaries by analyzing both the visual content and spoken dialogue. Produces chapter markers compatible with YouTube, Vimeo, and custom video players.

    Ready to convert audio to chapters?

    Start using the Mixpeek Audio to Chapters in minutes. Sign up for a free API key and follow the documentation to get started.