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    Audio & Podcast Search Pipeline

    Make audio content searchable by transcribing and embedding spoken content. Find specific moments in podcasts, calls, and recordings.

    audio
    text
    Multi-Tier
    1.9K runs
    Deploy Recipe
    from mixpeek import Mixpeek
    client = Mixpeek(api_key="YOUR_API_KEY")
    namespace = client.namespaces.create(name="audio-search")
    collection = client.collections.create(
    namespace_id=namespace.id,
    name="podcasts",
    extractors=["audio-transcription", "text-embedding-v2"],
    chunk_strategy="speaker-turn"
    )
    # Upload audio files
    client.buckets.upload(
    collection_id=collection.id,
    url="s3://your-bucket/podcasts/"
    )
    # Search across all episodes
    results = client.retrievers.execute(
    retriever_id=retriever.id,
    query="discussion about AI regulation in Europe"
    )

    Feature Extractors

    Audio Transcription

    Transcribe audio content to text

    450K runs

    Retriever Stages

    Use Cases Using This Recipe

    Advanced
    Coming Soon
    9 min

    Earnings Call Signal Extraction

    Extract predictive audio and text signals from earnings calls at scale

    Text + audio + video (vs. text-only)

    Feature modality coverage

    Who It's For

    Quantitative hedge funds, systematic trading desks, and fundamental research teams analyzing 500+ earnings events per quarter