Search without tags. Metadata when you need it.
Imaginario runs two AI engines. Contextual understanding finds moments with no tags at all, and an enrichment engine generates shot-level metadata when your workflow needs it.
Index your video content with our AI and enjoy zero-setup, contextual natural language search across visuals, audio and dialogue.
Already powering video search and indexing for companies like
Two engines. Contextual understanding, plus enriched metadata when you want it.
The first engine is contextual understanding, and it needs no tags. Imaginario indexes everything in your footage so you can search in natural language, like Tom Cruise running on the beach or our CEO giving a great speech at a conference. Synonyms and close matches work too, because the AI understands the scene instead of matching labels.
The second engine generates highly enriched metadata down to shot level: foreground and background, moods, cinematic language, spoken language, actions, objects, people, text on screen, logos and much more. If your operation runs on metadata, it maps to your taxonomy and your MAM or DAM fields. If you never want to manage a tag, contextual search alone does the job. Use one engine or both.
Import your videos from anywhere
Connect directly to your favorite storage systems, local drives, MAM or DAM, or upload your source video files. See all our integrations. Our AI system will index visual and audio elements, making them easily searchable across cloud and on premises. Your content is always private and is never used to train generative models.
Your uploaded content is always private and is never used to train generative models.
Search with any level of detail
Our AI search works with any level of specificity; from settings and moods, all the way down to specific people, objects, actions, and combinations of all three.
Whether you’re looking for a particular shot or some top-level mood board filler, it’s just a search away.
Flexible search for all use-cases
Search within specific files, or explore your whole catalog. Get AI-powered recommendations for themes and topics. Find matching thematic content across multiple files. Auto-clip for social channels, and export to your editing suite.
Can your content tagging system do that without technical complexity and admin?
In the trade press
“Imaginario AI vastly simplifies and enhances the content creation process, empowering post-production and marketing teams of all sizes to distribute more content to a wider audience and better monetise their assets.”
Save hundreds of hours every year
Logging and tagging is a time-consuming part of any content operations supply chain and – let’s be honest – not something that anyone enjoys. We believe in creating AI systems that enhance human efficiency, and free up time for valuable creative work and high ROI.
Imaginario AI
Traditional manual tagging MAM/DAM/PAM systems
Single-model AI tagging
Time to tag new footage
Real-time (1:1 ratio)
3x to 4x video runtime
One pass per model, labels only
Tag library maintenance
Continuously learns, no upkeep
Requires dedicated staff
Requires periodic retraining and re-processing
Context management
Carries context across your library and sessions, grounded in your footage
Held by individual loggers, inconsistent across teams
No context, every call starts from zero
Types of content tagged
All modalities: visual, audio, text, facial — down to shot level. No manual taxonomy needed.
Dependent on editorial and content operations needs / time restrictions. Bound to specific taxonomies
Dependent on AI model used (usually multiple models needed adding cost and more prone to error)
Search accuracy
Pinpoint exact frame, shot or scene containing search term
Finds entire clip with tag applied. Lacks contextual and semantic understanding
Finds clip with auto-generated tag. Limited to trained categories
Search match types
Exact, semantic, and contextual — across visual, speech, and audio
Exact match with tag. Lacks contextual and semantic understanding
Exact match with tag (normally with broader range of tags)
Search modalities
True multimodal: visual, audio, dialogue, facial, temporal
Dependent on tagged content (usually only visuals or key words)
Single modality (visual labels or transcrips)
Backlog processing
Entire archive, flat fee
Prohibitively expensive for legacy content
Per-frame and per-minute tagging, costs stack per model and per pass
Taxonomy flexibility
Custom taxonomies, adapts to your vocabulary
Rigid, requires manual updates
Locked to generic pre-trained labels including characters and people
Integration / workflows
On-prem, cloud storage, and MAM/DAM integrations.
Siloed, manual export required
APIs or open-source builds, dev-heavy and not made for purpose.
Associated cost
Predictable flat cost, with pay-per-minute options by volume
Hourly labor, scales with volume
Pay per minute or hour of video, per model
From simple tags to complete video comprehension. All in one single platform and API.
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
70%
less time searching and
clipping for social
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.
Remove human biases, errors and typos. Search your footage confidently, knowing every second has been indexed to the same level of accuracy and granularity.
The easy way to ensure
consistency
across your entire video library
Beyond tagging: human-level understanding of every shot
Tags tell you a video has a person in it. Imaginario understands who is speaking, what they say, what is on screen, the mood and how the story unfolds. Every video gets this treatment automatically, in more than 100 languages.
For Enterprise customers, we can create custom models based on your footage and map outputs to your own vocabulary or editorial taxonomy.
See what else you can do with Imaginario AI
See it in action
Frequently asked questions
Is there a limit to how much I can search my library?
Our packages are based on the minutes of video content you import every month, not the number of searches. Once you have added your video content to our system, you are free to search as many times as you like, across all modalities.
What kind of things can I search for?
Our AI system understands your videos in the same way a human would, so you can search for anything that exists within your footage.
This could be something specific (such as an actor or a model of car), or something more thematic such as “winter” or “suspense”.
Our AI also understands the relationship between people, objects, places, emotions, and actions. So if you want to locate a specific shot you can combine elements, for example “a group of people running on the beach”.
How does your search system differ from traditional video object and sound recognition?
We add intelligence and context over and above the previous generation of video search services, so you can add details and relational data to your searches to find exactly what you need.
For example, you’re preparing some social clips for Valentine’s Day so you want to find a specific scene where two characters kiss in a crowded street. With other visual search systems, you would be able to search for “man”, “woman”, “kiss” and maybe “crowd”. With our system, you can search for “A man and a woman kissing in a crowded street” and you will find exactly the right clip.
What is video intelligence?
Can ChatGPT or Claude tag and search my video library?
How is Imaginario different from Twelve Labs?
Get started today
Enjoy thousands of minutes of AI analysis, transcriptions, search, and auto-captions, plus much more.