Omnisearch vs TwelveLabs

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.

The short answer

Free plan: TwelveLabs has one; Omnisearch prices on request
Public API: Both have one
Best fit: Omnisearch: e-learning platforms adding search inside course video · TwelveLabs: Developers building search over large video archives
Trust score: About even — Omnisearch 85, TwelveLabs 89
Status: Both up at our last check — Omnisearch Oct 16, 2026, TwelveLabs Oct 15, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

OmnisearchMultimodal search API that indexes inside video, audio, images and documents for course and content platforms.

TwelveLabsAPIs for video understanding — search, embed and analyze footage with the Marengo and Pegasus models

Side by side

Fact	Omnisearch	TwelveLabs
Category	Video Analysis & Search	Video Analysis & Search
Pricing model	Contact	Freemium
Starts at	—	$29/mo
Public API	Yes	Yes
Trust score	85 / 100	89 / 100
Platforms	Web, API	Web, API
Company	Stratosphere Technologies Inc.	TwelveLabs, Inc.
Launched	—	2021
Last verified	Oct 16, 2026	Oct 15, 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

TwelveLabs

Still the most direct way to add real video search and Q&A to a product without training multimodal models yourself. Pricing has moved from per-minute metering to plans that bundle storage with a monthly workload allowance, which makes a prototype's cost predictable, but a large archive outgrows Plus quickly and only Pro can buy overage.

Pros

Purpose-built video models rather than frame-sampled image models
A free plan and self-serve $29 and $99 tiers make prototype costs predictable
Re-indexing for new model releases is included in the monthly fee
SDKs and a playground support evaluation before committing
Analyze handles continuous reasoning over long footage

Cons

Storage and workload allowances are separate, and Free and Plus stop at their caps with no overage
It is infrastructure, not a turnkey app - integration takes engineering
Large archives push quickly into Pro overage or an enterprise contract

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 TwelveLabs 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