OverlayQA's answer

OverlayQA is the only design QA tool that combines Figma overlay comparison, AI-powered design review, and WCAG accessibility auditing in a single Chrome extension. Every issue captured includes the CSS selector, computed style values, page metadata, and a screenshot, so developers get dev-ready bug reports instead of vague feedback. It works on any URL: staging, localhost, or production.

Uiprobe's answer:

We compare your Figma design against the live page deterministically, reading the rendered page's computed CSS rather than overlaying screenshots. Run the same probe twice and you get the same findings. The output is a structured list across three sections, Properties, Spacing, and Unverified, each with the exact expected and actual values, so you see the precise property that diverged instead of a fuzzy image diff.

OverlayQA's answer

Most visual bug tracking tools capture a screenshot and stop there. OverlayQA captures the CSS selector, computed values, viewport, browser info, and a link to the original Figma frame in every issue. It exports directly to Jira, Linear, and Notion with one click. The AI design review uses GPT-4o to flag layout, spacing, and typography issues automatically. No other tool in this category combines visual comparison, AI review, and accessibility auditing.

Uiprobe's answer:

Reliability. We deliberately kept AI out of the detection path, because AI-based comparison gave different results between runs, and if you run the same comparison twice and get different answers, nothing else matters. Reading computed CSS instead of comparing images means a finding names the exact property and value that diverged. For teams shipping front-ends from Figma, that means less manual pixel-peeping and fewer back-and-forths in review.

OverlayQA's answer

Design and frontend teams at product companies (50-500 employees) who use Figma and need to verify that what shipped matches the design spec. Also agencies and studios who need to QA client sites before handoff. QA engineers, designers, and frontend developers all use it.

Uiprobe's answer:

Frontend developers and UI designers who build from Figma and care that what ships reflects the design. That includes product teams and agencies, Webflow, Shopify, and custom front-end shops, who handle design QA by hand today. It increasingly includes developers using AI coding tools, who generate UI fast and need a reliable way to verify the output against the design.

OverlayQA's answer

OverlayQA was built out of 15 years of design-to-development handoff frustration. The QA process between design and engineering has always been scattered across screenshots in Slack, vague Jira tickets, and hours of back-and-forth. OverlayQA puts the entire visual QA workflow inside the browser where the work actually happens.

Uiprobe's answer:

We kept hitting the same annoying, draining task while building front-ends: manually checking whether the live page reflected the Figma design. Switching tabs, taking screenshots, leaving comments. We tried AI comparison first, but the results shifted between runs and we could not trust them. So we rebuilt the comparison to be deterministic, reading computed CSS, and made the output a list of findings rather than a judgment. Uiprobe is the tool we wanted while doing that work.

OverlayQA's answer

Chrome Extension (Manifest V3), React, TypeScript, Hono (backend), Neon (PostgreSQL), axe-core (accessibility engine), GPT-4o (AI visual analysis).

Uiprobe's answer:

We render the live page with a browser engine and read its computed CSS, then run a deterministic comparison engine that maps elements between the Figma frame and the rendered page. Design input comes through the Figma API, with a Chrome extension and a Figma plugin as entry points.