Does Imaginario AI have an API?

Yes, Imaginario AI offers an API.

What platforms does Imaginario AI support?

Imaginario AI is available on Web App.

What are the limitations of Imaginario AI?

No public pricing tiers are listed, so costs require a demo request before any comparison. The homepage gives no detail on storage limits, indexing time or how long analysis takes per hour of footage. Accuracy claims for transcription and semantic matching are vendor stated and not independently benchmarked on the site.

Imaginario AI

Name: Imaginario AI
Author: Imaginario AI

Semantic video search that finds any moment by what is seen, said and heard

Beginner API

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Screenshot of Imaginario AI, Semantic video search that finds any moment by what is seen, said and heard

What is Imaginario AI?

Imaginario AI is a clip finder tool. Imaginario AI indexes video libraries so teams can search footage by describing what is seen, said or heard, then clip and export matches. Built for media, marketing and post-production teams working with large archives.

Imaginario AI is a video search and curation platform built for media companies, marketing teams and post-production houses that need to locate specific moments inside large footage libraries. Rather than relying on tags, filenames or manual metadata, the system analyzes each uploaded video and builds a searchable representation of everything in it: people, objects, actions, locations, dialogue, sound effects, on-screen text and even moods. Queries are written the way you would describe a scene to a colleague, and the platform returns matching moments across the entire library. In practice the workflow starts with ingestion. Source files arrive from local drives, connected storage systems, a MAM or DAM, or a direct upload, and the AI processes them automatically. Users then choose which modalities to search across, whether visual, audio, speech in more than 100 languages, or a combination, and results come back as clips that are trimmed contextually so they are ready to publish, export to storage or hand to an editing suite. StoryLab extends this with natural language requests for clipping, reframing and assembling footage for social channels, complete with auto captions. The platform also generates transcripts, chapters, summaries, keywords, shot detection and compliance flags such as title cards, logo bugs and black screens, and enterprise customers can have outputs mapped to their own editorial taxonomy or custom models trained on their footage. Imaginario states that uploaded content stays private and is not used to train generative models. It sits closest to semantic search and media asset management tools, but differentiates on meaning based retrieval instead of manual tagging, which matters for archives that are too large to label by hand. Pricing is per power user with additional search and comment seats, and there is no cap on searches once a library is indexed. Teams that only need transcripts or simple social clipping will find dedicated tools cheaper; Imaginario earns its place when the library itself is the hard problem.

How do you use Imaginario AI?

1Book a demo and set up your workspace
Start through the demo request form to get access and discuss which plan fits your team size and seat mix.
2Connect storage or upload source footage
Link your storage systems, MAM or DAM, or upload files directly. The AI then processes each video for people, objects, speech and context.
3Choose the search modality
Decide what the search should identify, for example visuals, audio, speech across 100+ languages, actions or context, and how results should be clipped.
4Run queries and review clipped results
Describe the moment you are looking for and scan the results grid. Matches come back trimmed contextually as clips ready for use.
5Turn clips into social output with StoryLab
Use natural language requests to reframe, caption and assemble footage for social channels, or export back to storage or your editing suite.
6Wire the library into your own systems
Developers can push generated metadata, transcripts and search results into existing pipelines through the API instead of manual labeling.

Pros and cons

Pros

Search works without tags or metadata, so archives that were never labeled become usableAI
Multimodal queries combine people, objects, dialogue, sound and scene context in one searchAI
Transcription covers more than 100 languages with auto captions on returned clipsAI
Indexed libraries allow unlimited searches, with pricing per user rather than per minuteAI
Enterprise options map AI output to a company's own taxonomy and support custom modelsAI

Cons

No public pricing tiers are listed, so costs require a demo request before any comparisonAI
The homepage gives no detail on storage limits, indexing time or how long analysis takes per hour of footageAI
Accuracy claims for transcription and semantic matching are vendor stated and not independently benchmarked on the siteAI
The workflow assumes you already hold a sizable video library, which makes it overkill for small creatorsAI
Some capabilities, including custom models and taxonomy mapping, are gated to enterprise customersAI

How much does Imaginario AI cost?

Pricing

Plans are priced per power user, with additional search and comment users available on top. Searches are not metered once a library is indexed, and the model is not charged per search or per minute of video. No public price figures are shown on the site, so quotes come through a demo.

Learn more

Integrations

Connects to common storage systems, MAM and DAM platforms, and local drives, and exports results back to external storage or into editing suites. An API supports custom pipelines.

Learn more

Features

Semantic search across visuals, dialogue in 100+ languages, sound, actions and scene context without manual tags. The platform generates transcripts, captions, chapters, summaries, keywords, shot detection, person ID and compliance flags for title cards, logo bugs and black screens. StoryLab handles natural language clipping and social reframing, and metadata can be mapped to a custom taxonomy.

Frequently asked questions about Imaginario AI

How much does Imaginario AI cost?
Plans are priced per power user, with additional search and comment users available on top. Searches are not metered once a library is indexed, and the model is not charged per search or per minute of video. No public price figures are shown on the site, so quotes come through a demo.
Does Imaginario AI have an API?
Yes, Imaginario AI offers an API.
How do you use Imaginario AI?
The walkthrough on this page covers 6 steps: 1. Book a demo and set up your workspace 2. Connect storage or upload source footage 3. Choose the search modality 4. Run queries and review clipped results 5. Turn clips into social output with StoryLab 6. Wire the library into your own systems.
What platforms does Imaginario AI support?
Imaginario AI is available on Web App.
What does Imaginario AI integrate with?
Connects to common storage systems, MAM and DAM platforms, and local drives, and exports results back to external storage or into editing suites. An API supports custom pipelines.
What are the limitations of Imaginario AI?
No public pricing tiers are listed, so costs require a demo request before any comparison. The homepage gives no detail on storage limits, indexing time or how long analysis takes per hour of footage. Accuracy claims for transcription and semantic matching are vendor stated and not independently benchmarked on the site.