Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
Mixpeek is a multimodal search platform that lets you bring your own vectors and search across object storage with a Vector Store (MVS) and a managed indexing layer that auto-extracts scenes, faces, OCR, transcripts, and embeddings. It enables multi-stage retrievers with sub-100ms search, offers feature extractors for faces, scenes, transcripts, OCR, and fingerprints, and integrates with S3, GCS, R2, Mux, LangChain, MCP, and more; it can generate embeddings from 50+ models. Targeted across Creative DNA, Advertising, Entertainment, E‑Commerce, and Education, it supports use cases like face/person search, IP/copyright detection, scene-based recommendations, catalog QA, and brand safety, with resources, models, and comparisons to other vector databases.
Rivals
LlamaIndex is the brand AI weighs against Mixpeek most, and it leads on complex pdf and table grounding.
Sources
mixpeek.com shapes more of what AI says about Mixpeek than any other source, at 72% of its citations.
fast.io · search.trooply.ai · alphacorp.ai · artifex.com
The market map
Visual Search and Auto-Tagging APIs →Where AI ranks Mixpeek
Excerpts where Mixpeek appeared in the AI's answer
Mixpeek : A managed platform explicitly bridging embedding generation, vector indexing, and multimodal/visual search into a single API pipeline.
Mixpeek : A specialized multimodal AI platform that combines image feature extraction, embedding generation, and vector indexing into a single unified API workflow.
Excerpts where Mixpeek appeared in the AI's answer
Mixpeek: Explicit “Video to Chapters”: combines transcript topic modeling with visual scene changes and generates titles, timestamps and summaries
Mixpeek is particularly on-point. Its video-to-chapters pipeline transcribes the audio, detects visual changes, uses topic modeling to identify semantic shifts, and generates timestamped chapter titles/summaries.
