Imaginario vs Twelve Labs and indexing APIs
How Imaginario compares with specialist video APIs like Twelve Labs and the traditional indexing services from AWS, Google Cloud and Azure.
Intelligence on top of the stack you already run, not another platform to migrate to.
Already powering video search and indexing for companies like
APIs give you building blocks. Imaginario gives you outcomes.
Developer video APIs, from specialists like Twelve Labs to the traditional indexing services of the hyperscalers (AWS Rekognition, Google Video Intelligence, Azure Video Indexer), are capable building blocks. But building with them is a science experiment. You run it to find out if you really get what you need, you adjust generic outputs from multiple sources so they fit together, and your non-technical team still has nothing to open in a browser.
Imaginario takes care of all of that, with nothing to build and nobody to hire for it. One platform ships the whole loop: multimodal indexing, natural language search, clipping, StoryLab, approvals and integrations with your storage, MAM and editing tools, usable by any team from day one, with the same engine available as an API when you want to build. Your content, understood down to shot and scene level across video, audio and much more.
Coming soon: role-based governance and time-based commenting.
Built for teams, not just developers
Specialist video APIs ship capable models but no platform for the people who actually work with footage, and general models like Gemini increasingly cover similar ground, which makes a bare API a shrinking moat. Imaginario pairs the models with a product your editors, marketers and producers use directly.
Your content stays private and is never used to train generative models.
One indexing pass, every modality
Traditional indexing APIs bill each capability separately: one call for labels, another for faces, another for transcripts, each integrated and paid for on its own. Imaginario indexes actions, faces, objects, locations, logos, speech and sound in one pass, in 100+ languages.
Coming soon: image support.
One integration, one index, everything searchable.
A platform and an API, not one or the other
Builders get the same engine through our API, with usage-based pricing and metadata adapted to your taxonomy and schema. Everyone else gets the platform: search, clipping and StoryLab in the browser. Most teams start with the platform and grow into the API, without switching vendors.
Start with the platform, build with the API, one vendor.
Imaginario, Twelve Labs and the indexing APIs, side by side
The honest comparison. Twelve Labs is a specialist API for developers. The hyperscaler services are traditional indexing APIs, one capability at a time. Imaginario pairs the models with a product your whole team can use, connected straight to your assets where they live: in the cloud, on premises or on device.
Imaginario AI
Twelve Labs
Traditional indexing APIs (AWS, GCP, Azure)
Core approach
A system of action: indexing, search and creation in one platform and API
Specialist in contextual video understanding, API only
Point solutions: one API per task, you assemble
AI understanding
Shot and scene-level understanding: actions, faces, objects, locations, logos, speech, sound, camera and audiovisual language, and much more. Context management and temporal understanding, beyond tags and asset metadata
Multimodal with temporal understanding. Named-people face banks, ready transcripts and SRT files are not productized, and summaries and chapters need a second model
Siloed: one API per capability, frame and segment labels with no temporal understanding
Language support
100+ languages and dialects with automatic detection
Strongest in English, multilingual support in a limited set of languages
Fragmented: visual APIs carry no speech, transcription is a separate service with its own language list and bill
Onboarding and rollout
Connect and go live in days: nothing moves, onboarding included
API connections to your cloud, MAM and databases, built by your team
Custom integration, deep cloud coupling
Who can use it
Everyone: search, clip and StoryLab in the browser, API for builders
Developers only, no platform for non-technical users
Developers only
Agentic automation
Native: social cuts, highlights, rough edits, image-to-video search
Developer-configured framework, not turnkey
None, build it in-house
Taxonomy and schema fit
Metadata adapted to your taxonomy and schema
Fine-tuning at custom pricing
Left to your team
Output
Clips, reframes, captions and exports to Premiere Pro, DaVinci Resolve and Avid Media Composer, plus JSON responses and CSV files from the API
JSON responses
JSON responses
Where it runs
Cloud or hybrid today, on-prem and air-gapped in the works
Vendor cloud
Tied to their cloud
Pricing entry
Platform from $89 per user per month, API from 1 to 3 cents per minute
From $0.042 per minute for indexing, plus $0.0292 per minute for generation and a $0.0015 per minute per month infrastructure fee
Per minute per model, around $0.10 to $0.15 each, costs stack across modalities
See it in action
What indexing 5,000 hours actually costs
Pricing models look similar until you run them across a real library. Take 5,000 hours of content, 300,000 minutes, indexed across every modality: visuals, faces, on-screen text, logos and speech.
| Approach | What you get | 5,000 hours |
|---|---|---|
| Manual logging | Time-coded labels written by hand at about $2 per minute of content, roughly 9 logger-years of work per pass, and every taxonomy change or new use case forces another pass | ~$600,000 per pass |
| Traditional indexing APIs | One model per capability, each billed per minute. AWS Rekognition runs about $0.10 per minute per model with transcription as a separate service. Google Video Intelligence charges $0.10 to $0.15 per visual feature plus $0.048 for speech, in English only. Azure Video Indexer meters audio and video analysis separately per input minute. The output is raw labels, so syncing, cleaning and governing that metadata in your MAM or DAM stays with your team, on top of the API bill | $120,000 to $195,000 |
| Twelve Labs | Embeddings at $0.042 per minute, plus Pegasus generation for summaries and chapters at $0.0292 per minute per pass and $0.0075 per 1,000 tokens, plus a recurring $0.0015 per minute per month infrastructure fee and $4 per 1,000 search queries. Not included: ready transcripts and SRT files, and named-people face search, which need separate services | $12,600 indexing $8,760 to $26,280 generation plus $5,400 a year |
| Imaginario | Every modality in one pass, transcription and generation included, in 100+ languages, with the platform and API on top and JSON and CSV outputs from the API. Nothing to sync, maintain or polish afterwards | $18,000* |
*At $0.06 per minute, around 20% below the equivalent Twelve Labs stack, covering around three modalities that go beyond simple embeddings, with transcription and generation included. Volume discounts are available depending on contract size. See platform pricing.
The bigger line item is people.
A dedicated logging team of five carries a loaded cost of roughly $300,000 a year. With Imaginario there is no metadata to maintain, sync or polish, and no standing metadata team to fund.
One indexing pass with Imaginario costs about 3% of the manual tagging pass it replaces, with no metadata team on top.
Leading studios, broadcasters, production companies and corporate marketing teams use our system to identify shareable moments, clip and repurpose for social channels in seconds.
Make the most of your content library and engage your fans with ease.
Warner Bros. Discovery saw a
80%
time reduction in
multi-platform editing workflows
Cineverse located specific clips
75%
faster using our labelless AI search
Natural language search opens up more opportunities. Identify seasonal themes, pre-approved B-roll, age-restricted content for compliance in different markets, and much more.
It compresses the ideation and creation process from days to minutes”
Sally A. Curtis, Agency Owner and Podcaster
“Imaginario AI makes it easier to go through a 2 hour movies. It does it in just half an hour. It’s the perfect time saver!”
Camila Mejia, Channel Manager, Cineverse Networks
“Imaginario AI has been a game changer for us. We can provide more content and save time doing so!”
Jennifer Neal, Formula Done
Plugs into your existing stack in seconds
We integrate with every leading NLE, cloud and on-premise storage provider, and MAM/DAM system.
Frequently asked questions
Evaluating the AI inside MAM and DAM systems instead? See Imaginario vs MAM and DAM AI add-ons.
What is the best Twelve Labs alternative?
For teams that want video AI with a product attached, Imaginario AI. Twelve Labs offers capable developer APIs. Imaginario pairs comparable multimodal understanding with the platform layer: natural language search in the browser, StoryLab for finished cuts, MAM, storage and NLE integrations, and 100+ languages, with an API when you need one.
How is Imaginario different from AWS Rekognition, Azure Video Indexer or Google Video Intelligence?
Those are traditional indexing APIs, a different category from LLMs: one service per task, billed and integrated separately, with the assembly work on your team.
Each model is billed per minute per API, around $0.10 to $0.15 each on AWS and Google Cloud, with transcription as a separate service, so a full multimodal pass stacks four or five bills. Imaginario indexes every modality in one pass on one bill, and the output arrives as ready, time-coded metadata rather than raw labels for your team to sync and maintain.
Imaginario indexes every modality in one pass and ships the product on top: search, clipping, StoryLab and integrations, so the intelligence is usable the day it is connected.
The same engine is available through our API with usage-based pricing, so builders can start with the platform and grow into custom workflows.
Is Imaginario a platform or an API?
Both. Teams use the platform in the browser: search, clipping, StoryLab and integrations, no code required.
Builders use the same engine through our usage-based API, with multimodal indexing in one call and metadata adapted to your taxonomy and schema. Start either way and grow into the other.
Is there a Twelve Labs alternative with a ready-to-use app, not just an API?
Yes. Imaginario ships a hosted platform your whole team can open in a browser: natural language search, clipping, StoryLab and integrations, with no build phase.
The same engine is available through our API, so enterprise dev teams can embed video understanding in their own products while editors, marketers and producers work in the app from day one.
Can I add AI search on top of my existing MAM or storage without migrating?
Yes. Imaginario works two ways: keep your MAM or DAM in the loop, with metadata, clips and collections passed back, or connect directly to the storage where your assets live, in the cloud, on premises or on device.
Nothing has to migrate. If you do want to consolidate, our migration service brings assets and metadata across at a very accessible price, most often included in the agreement.
Can the API detect logos, on-screen text and content categories at scale?
Yes. One indexing pass covers logos, on-screen text, faces, actions, locations, speech and sound, with content categories for contextual placement and ad sales.
Results come back as time-coded metadata in JSON or CSV, adapted to your taxonomy and schema, so they drop into your MAM, DAM or ad workflows without reformatting.
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Enjoy thousands of minutes of AI analysis, transcriptions, search, and auto-captions, plus much more.