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Mixpeek Review

Mixpeek is a video intelligence platform offering APIs for search, indexing, feature extraction, and multimodal content moderation using embeddings and AI models.

shipped Jul 10, 2026buildpaid
BuildObservability & GuardrailsContent Moderation
Mixpeek — product screenshot

Why it matters

1Offers deep, customizable multimodal moderation with tunable safety thresholds across various content types.
2Features a Vector Store (MVS) starting from $25/month, supporting dense, sparse, and BM25 search on object storage.
3Supports over 50 embedding models and provides managed indexing for auto-extraction of scenes, faces, OCR, transcripts, and embeddings.
4Achieves multi-stage search latency under 100ms, with example searches completing in 27-41ms.

Specs

API Docs

View Documentation →

GitHub

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API Available

Yes, public API

overview

What is Mixpeek?

Mixpeek is a multimodal intelligence layer tool developed by Mixpeek that enables AI agents, developers, and ML teams to process, index, and search unstructured multimodal content using AI models. It offers APIs for search, indexing, feature extraction, and multimodal content moderation with customizable safety thresholds across various content types. The platform transforms raw media such as video, images, audio, and documents into searchable, classifiable, and retrievable features by automatically extracting metadata like faces, objects, transcripts, embeddings, and structured information. Its core function is to decompose unstructured multimodal data into relevant features and build a queryable knowledge model, supporting semantic, face, object, and transcript search, which can be chained into multi-stage retrieval pipelines.

features

Key Features of Mixpeek

Mixpeek provides a comprehensive suite of APIs and infrastructure components designed for advanced multimodal content understanding and management.

  • Video intelligence platform APIs for search, indexing, feature extraction, and content moderation.
  • Multimodal content moderation utilizing embeddings and AI models with tunable safety thresholds.
  • Vector Store (MVS) offering dense, sparse, and BM25 search capabilities on object storage.
  • Managed Indexing for automatic extraction of scenes, faces, OCR, transcripts, and embeddings from various file types (Video, Images, Audio, PDFs, Text).
  • Ability to build Retrievers for multi-stage search, including filtering, joining, and reranking.
  • Specialized Feature Extractors for faces, scenes, transcripts, OCR, and content fingerprints.
  • Embeddings generation and storage from over 50 supported models, including Gemini Embedding 2.
  • Cross-modal joins across video, image, audio, and documents for complex queries.
  • Content clustering and taxonomy building derived directly from user data.
  • Hybrid image and text retrieval capabilities.

use cases

Who Should Use Mixpeek?

Mixpeek is primarily designed for developers, machine learning teams, and enterprises requiring advanced multimodal intelligence for their applications and data management systems.

  • Media & Entertainment: For creative DNA mapping, search, and reuse of media assets, auto-generating highlight reels, or making lecture moments searchable.
  • Digital Asset Management (DAM): To make every asset findable by its internal content (scenes, faces, spoken words, on-screen text) and improve search relevance.
  • E-commerce: For product affordance intelligence, visual search, Product Detail Page (PDP) enrichment, and catalog Quality Assurance (QA).
  • Legal & Compliance: For searching and analyzing thousands of declassified legal documents or flagging documents upon arrival.
  • AI Agent Infrastructure: To provide underlying infrastructure for AI agents to access and understand multimodal content, integrating as a LangChain tool or MCP server.

how to use

How to Use Mixpeek

Users typically integrate Mixpeek via its API to ingest unstructured data, configure feature extraction, and then query the resulting knowledge model. The platform supports connecting various data sources and building custom processing pipelines.

  • 1Connect data sources such as S3 buckets, Iconik, Webhook, Email, or Supabase using Source Adapters.
  • 2Configure and deploy custom or pre-built Feature Extractors for desired metadata (e.g., faces, OCR, transcripts, embeddings).
  • 3Ingest multimodal content, including video, audio, images, PDFs, and text, into the Mixpeek platform.
  • 4Utilize the POST /v1/features/search endpoint or other API calls for semantic, face, object, or transcript search.
  • 5Implement content moderation pipelines with tunable safety thresholds based on extracted features.
  • 6Build multi-stage retrieval pipelines by chaining different search types and filters.

pricing

Mixpeek Pricing & Plans

Mixpeek offers a tiered pricing model primarily based on its Vector Store (MVS) and Managed Indexing services, with specific costs for storage and queries.

  • Vector Store (MVS): Starting from $25/month. This tier includes an agent-native vector store on object storage, supporting dense, sparse, and BM25 search. Costs are $0.023 per GB-month of vector storage and $2 per million queries.
  • Managed Indexing: Pricing available upon contact with sales. This service allows users to connect a bucket and automatically extract scenes, faces, OCR, transcripts, and embeddings from any file type (Video, Images, Audio, PDFs, Text).

Pros

  • +Offers deep, customizable multimodal moderation with tunable safety thresholds for compliance requirements.
  • +Enables exact clip retrieval from complex, cross-modal queries by joining features across modalities and timestamps.
  • +Builds natural hierarchies and taxonomies directly from proprietary data, organized around business needs.
  • +Provides fast search performance, with multi-stage searches completing in under 100ms and example searches in 27-41ms.
  • +Supports over 50 embedding models and allows for custom extractors via a Plugin Marketplace.
  • +Features deploy-resilient batch jobs with auto-resubmit functionality, enhancing operational reliability.

Cons

  • −Specific, detailed third-party user reviews are not extensively available, making independent reception assessment challenging.
  • −Pricing for 'Managed Indexing' and other advanced features requires direct sales contact, lacking public transparency for cost estimation.
  • −Requires technical expertise for full API integration and custom pipeline development, potentially increasing implementation complexity for non-technical users.
  • −While offering a Vector Store (MVS) from $25/month, the overall cost for extensive usage across all features may not be immediately clear without sales consultation.

Policies

Pricing Page

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Similar Tools

Mixpeek vs Competitors

Mixpeek positions itself as a flexible multimodal AI platform with broad support for various content types and deployment options, differentiating from specialized alternatives.

1
Twelve LabsOn StorkCompare

Twelve Labs specializes in multimodal video search and understanding, allowing natural language queries across video content.

Similar to Mixpeek, Twelve Labs offers deep video intelligence for search and indexing, but it emphasizes natural language interaction and purpose-built video foundation models. Mixpeek also focuses on video intelligence but highlights customizable multimodal moderation and compliance requirements more explicitly.

2
Google Cloud Video Intelligence API↗

Google's API provides extensive pre-trained machine learning models for broad video analysis, including object, place, action, and explicit content detection.

Both offer video analysis and indexing. Google's API is deeply integrated with the Google Cloud ecosystem and is known for its battle-tested scale, while Mixpeek emphasizes customizable moderation pipelines and compliance.

3
Amazon Rekognition Video↗

Amazon Rekognition Video offers robust object, activity, and facial detection, along with content moderation, with seamless integration into the AWS ecosystem.

Like Mixpeek, it provides AI-powered video analysis and content moderation. Amazon Rekognition is best suited for AWS-native teams, whereas Mixpeek offers a more platform-agnostic approach with a focus on deep, customizable multimodal moderation.

4
SightengineOn StorkCompare

Sightengine provides real-time image and video moderation APIs with specialized detectors for a wide range of sensitive content categories.

Sightengine focuses heavily on real-time visual content moderation, which is a core component of Mixpeek's offering. Mixpeek, however, extends beyond just moderation to a broader video intelligence platform including search, indexing, and feature extraction, with a strong emphasis on multimodal analysis and tunable safety thresholds.

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