Video intelligence infrastructure that makes every second of footage searchable and analyzable
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, TwelveLabs (twelvelabs.io) is an AI platform indexed under AI Video Search generating 133.09K monthly visits with a month-over-month traffic delta of -4.17K (-3%). Its primary geographic market is United States (42.4% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Memories.ai (188.13K visits/mo), Algolia (689.97K visits/mo), MixPeek (33.23K visits/mo).
Natural language video search is mind blowing.
Indexing speed for hours of footage is insanely fast.
Multimodal embeddings are top tier.
Enterprise pricing is steep but worth it for scale.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Search entire video libraries with natural language to locate specific actions, scenes, dialogue, and human emotions — no tags required.
The Marengo multimodal embedding model converts video into spatiotemporal vectors so every moment becomes findable by what is actually in it.
The Pegasus generative model produces summaries, chapters, highlights, and answers grounded in what actually happens on screen, not just transcripts.
Automatically surface natural breaks, scene changes, and pacing shifts, and detect policy risks and sensitive content at scale for brand safety and compliance.
Describe the highlights you need — every scored goal this season, or a rough cut from hundreds of hours — and TwelveLabs finds the material and exports to your edit workflow.
TwelveLabs is building infrastructure for video intelligence: the layer that makes video computable the way large language models made text computable. Its core pipeline ingests video, image, and audio through a single multimodal stream running at roughly 60x real-time speed, so an hour of footage can be indexed in about a minute. All of it is exposed through APIs, SDKs, and MCP integrations that drop into existing developer workflows.
Two model families do the heavy lifting. Marengo is a multimodal embedding model that turns video into spatiotemporal vectors, making every moment findable by what is actually happening rather than by manual tags. Pegasus is a generative video understanding model used for summarization, segmentation, and grounding answers in on-screen events — it is a video reasoner, not a transcript reader. On top of them sits Jockey, TwelveLabs' video intelligence agent, which reasons across a whole library and answers natural-language questions; it is now reachable from inside Claude and ChatGPT.
Practically, teams use TwelveLabs to search decades of archives, automatically segment long-form content, create highlight reels, scan for brand-safety and compliance risks, and analyze video at scale for editorial signals. It is designed for organizations with demanding video workflows, from media and sports to advertising and the public sector, and is backed by SOC 2 Type II certification with encrypted data handling and flexible deployment.
Search large media archives in natural language and pull timestamped clips in seconds instead of days of manual logging.
Place ads only in brand-safe, contextually relevant scenes using automated understanding rather than metadata and manual review.
Rapidly surface evidence, detect anomalies, and assemble after-incident reports from hours of footage.
Add video search, summarization, and question-answering to your products through TwelveLabs APIs and MCP integrations.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | TwelveLabs | 133.09K | -3% | 35% direct | Freemium, Contact for Pricing | Current |
| 1 | Memories.ai | 188.13K | -14.6% | 43% direct | Freemium, Contact for Pricing | vs Memories.ai |
| 2 | Algolia | 689.97K | -11% | 49% direct | Freemium, Contact for Pricing | vs Algolia |
| 3 | MixPeek | 33.23K | -12.4% | 34% direct | Freemium, Contact for Pricing | vs MixPeek |
| 4 | Agnes AI | 902.18K | -25.8% | 70% direct | Freemium | vs Agnes AI |
| 5 | fal.ai | 3.09M | -3.7% | 60% direct | Paid, pay-as-you-go usage-based pricing | vs fal.ai |
| 6 | Omnisearch | 3.34K | -50.2% | 39% direct | Contact for Pricing | vs Omnisearch |
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