Your recordings had a second transcript all along.
Every frame carries text — error messages, field labels, URLs, button states. Visual intelligence extracts that second transcript, aligns it to speech, and makes “this button is broken” point to the actual button that was on screen.
The most important noun in the sentence is rarely in the transcript.
Walk through the hero frame: the user said “it.” The screen showed “Payment declined — code 402.” The UI state is error. The URL reveals which environment they were in. Each layer is extracted, indexed, and queryable on its own — the value is in how they align.
Speech-only tools save the words. Not the thing.
When a customer says “this is broken,” Fireflies saves the words. Zoom AI saves the words. Otter saves the words. None of them know what this was. The most important noun in the sentence is not in the transcript.
Visual intelligence is the only way to resolve it. Once resolved, every downstream artifact — bug report, requirement, decision — carries the actual on-screen target as evidence.
Six signals from every frame, structured and queryable.
On-screen text
Buttons, labels, menus, URLs, form fields, headings.
Error states
Toasts, banners, red form validation, HTTP errors visible in DevTools.
UI elements
Primary CTAs, inputs, navigation, modals, tables, menus.
App context
Which product, page, environment, build is visible.
Selection & focus
Which element the user was interacting with at the moment.
Change detection
What appeared, what disappeared, frame to frame.
Per-millisecond alignment between what was said and what was on screen.
- 01
Transcribe speech
Word-level timestamps with speaker IDs.
- 02
Sample keyframes
OCR + UI classification on every relevant frame.
- 03
Bind to time
Every spoken word joined to the frame state at that millisecond.
- 04
Resolve deixis
“This,” “that,” “here” — resolved to the nearest on-screen target.
Five capabilities that literally cannot exist without visual grounding.
- Bug artifacts that carry the actual error screen, not a generic summary.
- Q&A answers that include the frame, not just the quote.
- Requirement extraction that references the specific screen being discussed.
- Search queries like “show me every moment a 500 error appeared on screen.”
- Evidence cards with embedded frame thumbnails — proof a reader can see in one glance.
The OCR is not optional.
Many tools claim “visual features” and mean “we store the video alongside the transcript.” That is not visual intelligence — that’s a video file.
Citesvue’s visual layer is structured data: every frame produces a queryable record of what text appeared, where, in what state. You can search it, filter on it, and cite it the same way you cite a transcript segment.
A UAT bug report — assembled from one frame and one sentence.
A client walks through checkout. At 14:23.4 the screen shows Payment declined — code 402. At 14:24.1 the client says “see, it doesn’t tell me why.” The bug artifact captures all of it: error text from the frame, the user quote, the timestamp, the URL (staging vs production), and a 2-second clip of the reproduction path. The Jira ticket has more detail than most engineers write by hand.
Visual intelligence comes with rules.
Workspace-scoped redaction policies; per-region masking for sensitive UI; raw media deleted after the structured layer is built. Extracted text and UI state inherit the same row-level access controls as the transcript itself.
What enterprise buyers ask about visual intelligence.
- English at GA. Arabic, French, Spanish, German and others on the roadmap. Reach out if your team needs a specific language scoped in earlier.
- Yes — per-workspace processing rules can mask or skip regions, applications, or URL patterns before frames are indexed.
- Confidence scores are exposed per-frame. Low-confidence text is flagged for review rather than silently used in artifacts or answers.
- Yes. The raw frame index is viewable, auditable, and exportable per workspace.
- Yes. Frame-level queries — including OCR text, UI state, and timestamp ranges — are part of the REST API.
Your next recording could be
your most valuable asset.
Or it could sit in a Drive folder nobody opens again. The difference is whether it has citations attached.
- SetupOne drag-and-drop. No bots, no plugins.
- First insightCited Q&A on a 60-min recording in under 6 minutes.
- Cancel anytimeFull data export, full right to erasure.