AI video search for content operations teams
Search your whole library with natural language. Say goodbye to labels, timestamps and metadata.
Meet the AI platform built for video production and content teams that need to reliably retrieve moments from their back catalogue.
Trusted by content operations teams in leading media companies
Built for the people who run the pipeline
Content operations, media engineering and workflow architects. Start where your job starts: the API, the metadata contract, the tagging engines and the models behind them.
| What you run | Where Imaginario fits |
|---|---|
| 01Video understanding inside your own pipelineIngest, index, search and retrieve programmatically |
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| 02Metadata that has to land in your MAM or DAM fieldsControlled vocabularies, rights fields and legacy schemas |
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| 03Shot-level tagging at scaleTwo engines: contextual search and enriched metadata |
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| 04Knowing what the models do before you trust themAI indexing and intelligence |
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| 05Storage, NLE and MAM plumbingWhere the files live and where the cuts go |
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Weighing Imaginario against the AI features inside your MAM or DAM? The comparison explains where each one fits.
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.”
Beyond tagging: human-level understanding of every shot
Tags tell you a video has a person in it. Imaginario understands the video the way a librarian and an editor would: who is speaking, what they say, what is on screen, the mood and how the story unfolds. Every asset in the library gets this treatment automatically, in more than 100 languages, and the outputs land in your fields.
For Enterprise customers, we can create custom models based on your footage and map outputs to your own vocabulary or editorial taxonomy.
Our proprietary video AI lets your team
Search your video library for anything
Let our AI index your videos
Connect Amazon S3, Google Cloud Storage, Backblaze, Wasabi, Frame.io or Iconik and Imaginario indexes the library in place, logging what is said, who is on screen, what happens and where at shot level. Your content stays private and is never used to train generative models.
Understand the whole conversation
Search by theme, topic or emotion with dialogue search, not just by keyword. Transcripts with speaker identification, captions and chapters in more than 100 languages come from the same index, time-coded to the second.
High-fidelity visual and audio search
Visual search, audio search and person search run at one frame per second, so anything that appears or can be heard in the library is findable, and the shot-level metadata behind it can be mapped to your taxonomy.
Locate specific moments or perfect B-roll in seconds.
Clip, organize, and repurpose
Highlight a passage in the transcript and Highlight to Edit turns it into a clip on the spot. Search results are trimmed into standalone clips, turned into single clips for social with StoryLab™, or exported as a sequence with timecoded metadata into Premiere Pro, DaVinci Resolve or Avid Media Composer, with finished clips back to the storage you already run.
With a paid subscription, you can export an unlimited number of HD clips every month.
Built to supercharge your workflows
We know your workflows are important, and Imaginario AI fits right into them. We integrate with every leading NLE, storage provider, MAM/DAM system, and more.
Discover our multimodal AI models
Developed entirely in-house, our models are built from the ground up to enable video understanding at scale. All training data is responsibly sourced, and the content you upload is never used to train future models.