Multi-modal video search
Search inside video libraries using natural-language, visual, audio, or dialogue-based queries so users can find moments by content rather than file name or tags.
Imaginario AI is an AI video search and repurposing platform that helps teams find, clip, transcribe, and reuse video moments by natural language, visual, audio, or dialogue search.
Imaginario AI is an AI video search and repurposing platform for teams that work with large video libraries. It helps users find exact moments inside footage by searching across dialogue, visuals, audio, people, actions, objects, themes, and other contextual signals instead of relying only on manual tags or file browsing.
The product combines search, transcription, and clip creation in one workflow. The site describes StoryLab™ as a way to turn found moments into branded clips, social cutdowns, marketing compilations, and rough edits, with support for cloud, hybrid, and air-gapped or on-prem deployment options on the enterprise side.
Search inside video libraries using natural-language, visual, audio, or dialogue-based queries so users can find moments by content rather than file name or tags.
Automatically indexes scene-level content such as faces, actions, objects, speech, OCR, and other signals so results are based on what appears and happens in the video.
Returns results as pre-clipped, timestamped moments that are ready to share, publish, or export instead of requiring manual scrubbing.
Uses StoryLab™ to assemble branded clips, marketing compilations, social cuts, and rough edits from selected moments.
Creates transcripts and chapterized video views, and lets users create clips by highlighting transcript text.
Supports cloud, hybrid, and air-gapped/on-prem workflows, with connections to storage and editing tools including Backblaze, Wasabi, AWS S3, Google Drive, Dropbox, Frame.io, Box, Adobe Premiere, and DaVinci Resolve.
A marketing team can search a video archive for a topic, moment, or phrase, then turn the matched segment into a short clip for social publishing.
An editor can locate related A-roll and B-roll, compare nearby moments, and assemble a rough cut faster than scrubbing through raw footage manually.
A content operations team can use transcript highlighting and chapterization to navigate long recordings, extract clips, and organize review workflows.
A media organization with a large library can index footage across storage systems and use multi-modal search to surface scenes by spoken words, visuals, or actions.
An enterprise team can connect storage and editing tools, then export timelines to Adobe Premiere or DaVinci Resolve as part of a broader post-production process.
The site presents Imaginario AI as an AI video search and curation platform. It analyzes video libraries so users can search by natural language, visual content, audio, dialogue, and related context, then generate clips or rough cuts from the results.
The pricing page shows enterprise-style offerings, including an Enterprise plan and an API product. The site also references a demo flow and an API trial call to action, but it does not publish detailed public pricing in the provided text.
The source says it connects to cloud storage and supports workflows with Backblaze, Wasabi, AWS S3, Google Drive, Dropbox, Frame.io, Box, Adobe Premiere, and DaVinci Resolve timeline export, but the exact setup process is not described in detail.
The product is aimed at marketing, post-production, editing, and content operations teams working with video libraries at scale. The pricing page also states the Enterprise offering supports unlimited users and unlimited search queries.
The source does not provide a complete list of limitations. It does indicate that some workflows are enterprise-focused and that the public pages do not fully spell out setup details, pricing tiers, or all supported deployment options beyond cloud, hybrid, and air-gapped/on-prem references.