Friction detection
Highlights pauses, repeated actions, reversals, and visible dead ends that suggest uncertainty or broken flow.
VideoLens turns an accessible session replay into a time-windowed record of visible behavior, on-screen text, pauses, repeated actions, and outcomes—ready for product, UX, or bug analysis.
Session replay platforms are excellent at collecting evidence, but reviewing individual sessions is still linear work. VideoLens can use supported video sources directly and includes a browser-capture fallback for replay pages that require the rendered experience.
Ask a focused question such as where the user became blocked, which interaction preceded the error, or what friction should be prioritized. The answer cites the replay timeline.
Highlights pauses, repeated actions, reversals, and visible dead ends that suggest uncertainty or broken flow.
Explains individual-session behavior with timestamped moments that teammates can review.
Use UX, Bug, Privacy, or a custom prompt against the same cached extraction.
Every stage is explicit and cached so the source can be checked and the analysis can be reused.
The browser-capture resolver recognizes PostHog, Microsoft Clarity, Hotjar, FullStory, LogRocket, and OpenReplay pages. Actual capture depends on access and how the replay is rendered.
VideoLens opens or captures the replay you provide. Analysis calls go to OpenAI using your key; VideoLens does not operate an analytics database of replay content.
The current workflow is strongest for focused qualitative review. Large-scale aggregation and native event-export parsers remain separate product opportunities.
Try the hosted app, self-host the MIT-licensed core, or connect VideoLens to an MCP client.