Mixpeek Logo
    Compliance

    AI Content Moderation Pipeline

    Automatically detect unsafe content across images, videos, and text. Flag NSFW material, violence, hate speech, and custom policy violations.

    image
    video
    text
    Multi-Tier
    3.6K runs
    Deploy Recipe
    from mixpeek import Mixpeek
    client = Mixpeek(api_key="YOUR_API_KEY")
    namespace = client.namespaces.create(name="moderation")
    collection = client.collections.create(
    namespace_id=namespace.id,
    name="user-uploads",
    extractors=["nsfw-detection", "violence-detection", "text-toxicity"]
    )
    # Process user-uploaded content
    client.buckets.upload(
    collection_id=collection.id,
    url="s3://your-bucket/user-uploads/"
    )
    # Query for flagged content
    flagged = client.documents.search(
    namespace_id=namespace.id,
    filters={"safety_score": {"$lt": 0.85}}
    )

    Feature Extractors

    Retriever Stages

    attribute filter

    Filter documents by metadata attribute values using boolean logic

    filter

    Use Cases Using This Recipe

    Intermediate

    AI Content Moderation for User-Generated Content

    Automatically detect and flag policy-violating content across text, images, and video

    95%+ of violations flagged before going live

    Pre-publication violation catch rate

    Who It's For

    UGC platforms, social media companies, marketplace operators, and community platforms processing 100K+ daily uploads requiring trust and safety review

    Advanced

    Video Compliance Monitoring

    Automatically verify regulatory and policy compliance across video content at scale

    10x faster than manual review

    Compliance review speed

    Who It's For

    Compliance teams, broadcast standards departments, advertising regulators, and enterprise communications teams reviewing video content for regulatory adherence

    Related Recipes & Resources

    Explore these related resources to deepen your understanding and discover more powerful features