Omnisearch ingests a customer’s video, audio, document and image libraries and automatically indexes faces, logos, scenes, spoken words and on-screen text so viewers can search inside the content itself rather than only its title or description. It requires no manual metadata tagging, supports more than two dozen languages, and connects directly to sources like YouTube, Vimeo, Wistia and cloud storage such as S3, with cloud or on-premises deployment. Operated by Stratosphere Technologies Inc, the company states it has indexed over 20 million documents and 800,000 hours of video for more than 5 million users, and ships a dedicated Thinkific App Store integration used by 30-plus e-learning companies to let students search inside course videos.
Omnisearch is sold entirely through a sales conversation with no published self-serve pricing tier, so a team cannot see exact costs before requesting a custom quote. As with any AI system indexing faces across video content, an organization handling sensitive or personally identifiable footage should confirm Omnisearch’s data-handling and retention practices directly rather than assume a default.
Pricing is available only as a custom quote after contacting the company; processing-unit top-ups beyond a plan’s quota can be purchased one-off through the dashboard without needing to upgrade the underlying subscription tier.
