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Case study · Framewise

Side projectProject period2023

AI-assisted video analysis

Built an experience for uploading video and exploring insights from its content.

01

Why

A video holds much more than you can search for by watching it.

02

Decision

You upload a video and Azure Video Indexer extracts the insights. FrameWise shows them in a dashboard and on a page for each video, with a timeline: brands, emotions, faces, keywords, labels, mentions, places, sentiments and topics. The app refreshes its access token before each call. Quality comes from Jest for logic, Storybook for components and Playwright for end-to-end tests.

03

Trade-offs

It depends on Azure Video Indexer, which has its own limits and a fixed set of capabilities, so we can't get more out of it. Other options would have cost more, so we stayed with it.

04

Outcome

A live product with a dashboard of insights for each video.

Technologies