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Omnisearch vs Twelve Labs

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Only Twelve Labs has a free tier. Both ship a public API.

OmnisearchMultimodal search API that indexes inside video, audio, images and documents for course and content platforms.Twelve LabsAPIs for video understanding — search, embed and analyze footage with the Marengo and Pegasus models

Side by side

FactOmnisearchTwelve Labs
CategoryVideo Analysis & SearchVideo Analysis & Search
Pricing modelContactFreemium
Public APIYesYes
PlatformsWeb, APIWeb, API
CompanyStratosphere Technologies Inc.TwelveLabs, Inc.
Launched—2021
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Omnisearch

Infrastructure, not an app: you buy it to put search inside your own platform, and the pitch is that it finds a face, a logo or a spoken phrase inside a video rather than matching a title. The Thinkific integration is the shortest path in. Pricing is entirely quote-driven, which rules out casual evaluation.

Pros

  • Indexes faces, logos and scenes as well as speech, so search reaches non-verbal content
  • Cloud or on-premises deployment with isolated data handling
  • Packaged Thinkific integration rather than API-only onboarding
  • 30+ languages supported
  • Named Canadian legal entity behind it

Cons

  • No prices published on any tier — everything is a quote
  • Capacity tiers are stated in hours and pages, making cost modelling impossible without sales
  • Built to be embedded, so there is no useful standalone product
  • No self-serve trial

Twelve Labs

The most direct route to adding real video search and Q&A to a product without training multimodal models yourself, priced by the minute rather than by seat. Costs scale linearly with archive size, so large libraries need budgeting up front, and free-tier indexes expiring after 90 days keeps that tier strictly for prototyping.

Pros

  • Purpose-built video models rather than frame-sampled image models
  • Transparent per-minute metered pricing with a real free tier
  • SDKs, playground and SOC 2 Type II support production use
  • Analyze handles continuous reasoning over long footage

Cons

  • Indexing costs accumulate quickly across thousands of hours
  • Free-tier indexes expire after 90 days
  • It is infrastructure, not a turnkey app — integration takes engineering

Which one fits

Choose Omnisearch if you need

  • e-learning platforms adding search inside course video
  • media libraries needing frame-level and spoken-word search
  • buyers who need on-premises deployment for content they cannot upload

Choose Twelve Labs if you need

  • Developers building search over large video archives
  • Media and sports teams automating highlights and logging
  • Products that need video Q&A or summarization via API

More comparisons

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