Mixpeek is a developer platform for building multimodal search applications, this enables natural language queries that can understand intention to retrieve results that span multiple types of media. With Mixpeek, you can:

  • Extract meaningful features from images, videos, and text
  • Build powerful search experiences across different content types
  • Create custom search experiences tailored to your use case
  • Deploy production-ready applications with scalable infrastructure

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How It Works

  1. Index Your Content: Upload your media (images, videos, text) to Mixpeek
  2. Extract Features: Mixpeek automatically processes your content to extract meaningful features
  3. Search & Analyze: Use our APIs to build search, recommendation, and analytics applications

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Key Features

Build sophisticated search experiences:

  • Natural language queries across all media types
  • Visual similarity search for images and videos
  • Cross-modal search (find images with text, or vice versa)
  • Semantic understanding of content

Learn more in our Search documentation.

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🎯 Feature Extraction

Extract valuable insights automatically:

  • Object and scene detection
  • Text extraction from images and videos
  • Face detection and recognition
  • Custom extraction pipelines

Explore our Features documentation to learn more.

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🏗️ Core Concepts

  • Namespaces: Isolated environments for your applications
  • Collections: Logical groupings of related content
  • Vector Indexes: Efficient similarity search infrastructure
  • Assets: Your indexed media content
  • Features: Extracted data points from your content
  • Tasks: Background processing jobs

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🔌 Existing Integrations

Connect with your existing stack:

  • Databases: MongoDB, PostgreSQL, Supabase
  • Vector Stores: Pinecone, Weaviate, Qdrant
  • Caching: Redis integration for high performance

View all Integrations.

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Common Use Cases

  • Video Alerting: Real-time monitoring and detection of objects, events, or anomalies in video streams.

  • Visual Discovery: Power visual search engines and recommendation systems based on image similarity and style matching.

  • Multimodal Search: Enable users to search across all content types using natural language or visual inputs.

  • Content Recommendation: Build personalized recommendation systems using visual and semantic understanding.

  • Media Analytics: Gain insights through automated content analysis, object detection, and categorization.

  • Multimodal RAG: Create AI applications that can understand and process information across text, images, and videos.

  • Content Organization: Automatically organize and tag media libraries using AI-powered content understanding.

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Getting Started

  1. Quickstart Guide: Set up your first Mixpeek application
  2. Client Libraries: Integrate using our SDKs
  3. API Reference: Explore our REST API
  4. Studio: Use our visual interface to manage content

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Resources

Ready to build? Create your account or check out our Quickstart Guide.

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