Mixpeek Logo
    data

    Audio
    Keywords
    Converter

    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.

    Max file size: 2 GB
    Estimated: 1-5 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 using a large speech model with punctuation restoration.

    3

    Named entity recognition identifies people, organizations, locations, and domain-specific terms.

    4

    Key phrase extraction ranks multi-word expressions by relevance and frequency.

    5

    Keywords are returned with scores, categories, and occurrence counts.

    Code Examples

    from mixpeek import Mixpeek
    client = Mixpeek(api_key="YOUR_API_KEY")
    result = client.convert(
    source="https://example.com/podcast-episode.mp3",
    from_format="audio",
    to_format="keywords",
    options={
    "max_keywords": 20,
    "include_phrases": True,
    "include_entities": True,
    "vocabulary_boost": ["Mixpeek", "RAG", "vector search"]
    }
    )
    for kw in result.keywords:
    print(f"{kw.term} (score: {kw.score:.2f}, count: {kw.count})")

    Use Cases

    Auto-tag podcast episodes with topic keywords for discovery and SEO
    Extract product and brand mentions from customer support call recordings
    Build keyword-based navigation for large audio archives
    Detect trending topics across collections of meeting recordings

    Supported Input Formats

    MP3
    WAV
    FLAC
    OGG
    AAC

    Quick Info

    Categorydata
    Max File Size2 GB
    Est. Time1-5 min per hour of audio

    Try This Conversion

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

    Frequently Asked Questions

    Ready to convert audio to keywords?

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