What is Mixpeek?

Mixpeek is a multimodal AI indexing platform that converts videos, images, and documents into searchable content. It automatically extracts scenes, speech transcripts, visual embeddings, facial and brand detections, and other entities, storing them in a vector store that supports natural‑language queries.

The platform supplies structured context in a single API call, allowing large‑language‑model agents to retrieve relevant clips, image regions, and text snippets. Built on Ray, it runs pipelines in parallel, scales elastically across GPU or CPU clusters, and recovers from node failures without manual intervention.

Users in advertising, media, sports, retail, security, healthcare, education, manufacturing, legal, finance, and trade compliance employ Mixpeek for rapid content discovery, compliance monitoring, automated tagging, and data‑driven decision support. Integration is available via a Python SDK, REST API, or self‑hosted deployment, requiring no additional infrastructure management.

Mixpeek on the web:

Mixpeek details

Company: Mixpeek Inc.
Stated compliance: SOC 2, HIPAA

Compliance as stated in Mixpeek's own published documentation.

Mixpeek tech specs

Works with: OpenAI / Whisper Google / Gemini
AI infrastructure: Hugging Face
Cloud: Azure
Integrations: Slack GitHub

Mixpeek pricing

Freemium

Mixpeek offers a free plan with paid upgrades available.

Verify on the official pricing page.

View plans

Mixpeek's key features

Feature Extractors
Model Registry
Processing Pipelines
Relevance Personalization
Document-Level ACL
Caching Strategies
Storage Tiering

Mixpeek use cases

Automate compliance monitoring for media archives by indexing all corporate videos, extracting scenes, transcripts, and brand mentions, then using the API to flag policy violations in real time
Enable dynamic search for educational content by indexing lecture videos, extracting transcripts and key scenes, and providing a natural language query interface that lets students locate specific concepts instantly
Enhance e‑commerce product catalogs by indexing product images and short promo videos, extracting visual tags and textual captions, and integrating the resulting vector embeddings into a fast, structured search API