Multimodal feature extraction
Extract scenes, faces, objects, OCR, transcripts, speaker diarization, document layouts, fingerprints, entities, and embeddings from connected files.
Mixpeek
Paid
Multimodal data infrastructure that turns files in object storage into searchable, structured data.
What is Mixpeek?
Mixpeek is a multimodal data platform for searching, classifying, and moderating video, images, audio, and documents. It connects to files where they already live, including S3, GCS, and other object storage, then extracts structured information such as scenes, faces, objects, OCR, transcripts, speaker segments, document regions, and embeddings. Those outputs become fields that applications and agents can search, filter, rank, and join.
The platform supports both managed extraction pipelines and standalone vector storage. Teams can compose multi-stage retrieval workflows that combine filtering, hybrid search, joins, and reranking. Feature extractors run in parallel and expose typed pipelines, schemas, and Studio paths for building workflows around multimodal content.
What can Mixpeek do?
Hybrid and semantic search
Search with dense vectors, sparse signals, and BM25 keyword relevance in a single retrieval workflow, including searches across video, images, audio, and documents.
Multi-stage retrieval
Compose retrieval stages such as filtering, joining, and reranking in one request. The platform also supports retriever templates and standing queries that can trigger webhooks when new documents match.
Object-storage indexing
Connect buckets and index content where it already lives. Managed plans handle extraction, embedding, and indexing, while the Mixpeek Vector Store supports bring-your-own vectors.
Typed extractor workflows
Use production extractors with live schemas, README documentation, and Studio paths. Supported integrations include S3, GCS, R2, Mux, LangChain, and MCP.
Use Cases
“Creative and advertising archives”
Map the creative elements in an ad library, search for specific moments or brand signals, group related material, and identify reusable patterns across campaigns.
“Media archive search”
Find scenes, takes, people, or spoken phrases across large video and audio collections without reviewing every file end to end.
“Content safety and compliance”
Screen footage and other media for safety signals, route flagged results for human review, and retain the extracted evidence behind a decision.
“Visual product discovery”
Add image embeddings and extracted product information to commerce catalogs to support visual search, product detail page enrichment, and catalog quality checks.
Frequently Asked Questions
What types of content can Mixpeek process?
Mixpeek processes video, images, audio, documents, text, and web pages. Extracted outputs can include scenes, faces, OCR, transcripts, speaker segments, document regions, entities, and embeddings.
Where does Mixpeek get the files it indexes?
It connects to object storage such as S3, GCS, and R2, along with integrations including Mux. The source material remains in the connected storage while Mixpeek extracts and indexes information from it.
Can teams use their own vectors or models?
Yes. The Mixpeek Vector Store supports bring-your-own vectors, and the platform can generate embeddings from more than 50 models. Custom model weights are offered through single-tenant arrangements.
How are retrieval workflows assembled?
Retrievers can combine stages such as broad recall, filtering, semantic joins, and reranking. Templates package namespaces, sources, collections, retrievers, evaluation thresholds, and review rules together.
Quick Facts
- Category
- Multimodal data platform
- Content types
- Video, images, audio, documents, text, and web pages
- Deployment inputs
- Object storage and connected media sources
- Retrieval
- Dense, sparse, BM25, filtering, joins, and reranking
- Pricing
- Paid plans start at $25 per month; enterprise pricing is available through sales
- Website
- mixpeek.com
Mixpeek Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 54
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