On the live product at pixellpeep.com. We do not duplicate a stale price table here.

UI testing

A product of Aarohii AI Solution

Pixellpeep — AI-assisted UI testing

Name: Pixellpeep
Brand: Aarohii AI Solution Private Limited

Pixellpeep is an AI-powered UI testing product developed by Aarohii AI Solution Private Limited. Automated visual regression that spots broken layouts, shifted pixels, and colour drift—before a release reaches customers. No coding required.

PixellPeep Talk to Aarohii

Overview

Pixellpeep is Aarohii’s UI testing product. Functional tests can pass while a header overlaps a button, a colour shifts, or a layout breaks on one viewport. Pixellpeep compares screenshots so those visual defects show up as evidence—not as a customer ticket.

Teams upload a baseline and a current capture, choose the comparison engine, and get a report they can act on. The same check can run from the UI, a CSV batch, the REST API, the CLI, or a GitHub Action so a broken visual can stop the build.

Who it is for

QA and release managers Need a visual sign-off they can attach to a release, not a screenshot folder in Slack.
Frontend teams Catch cross-browser and viewport drift before it ships—especially the pixel shifts humans miss.
Product teams Want visual bugs blocked in CI, with a similarity score instead of “looks fine to me.”
Regulated products Keep a diff trail per release when someone later asks how the UI was checked.

What it covers

Six comparison engines

Pixel-perfect, structural similarity, statistical, perceptual hash, colour distribution, and layout compare—pick the one that fits the job.

Diff you can act on

Heatmaps, bounding boxes, and diff percentages. Six visualisation modes so you see what changed, not just that something changed.

Less noise

Anti-aliasing detection, colour tolerance, and sensitivity controls so tiny rendering differences do not fail the run.

CI-ready

REST API, CLI, and GitHub Action so a failed visual check can block the pipeline, not production.

Batch at scale

Upload a CSV and compare hundreds of screenshot pairs in one run, with per-pair settings and a full export.

No coding required

Start from the product UI: drop two images, choose an algorithm, review the report. Automation comes when you need the gate.

How teams use it

Capture a baseline Keep known-good screenshots for the screens and viewports that matter to the release.
Compare the current build Upload the new captures—or batch them with a CSV—and pick the engine (speed, visual match, colour, or layout).
Review the evidence Use heatmaps and bounding boxes to decide: real regression, intentional change, or noise to ignore.
Gate the release Export the report, or fail the GitHub Action / CLI run so a broken UI does not ship.

Live at pixellpeep.com. Pixellpeep is designed, built, and operated by Aarohii AI Solution Private Limited. Plans and signup live on the product—open it to see current pricing.