AI that sees and understands your interfaces. Feed screenshots or images to vision models running on your GPU hardware and get structured, actionable analysis back.
Get a DemoSend an image in, get structured analysis out. It is that straightforward.
Vision Model Analysis takes screenshots, photos, documents, or any image and runs them through vision-capable AI models on your AI Metal Cluster hardware. The response is structured JSON that your applications can consume directly.
No data leaves your network. The vision model runs on your GPU nodes, processes the image, and returns the result. The image is never sent to external services.
Vision Model Analysis is the intelligence layer that powers PQA Visual Testing. It can also be used independently for any image analysis task.
Image Input
Screenshot, photo, document, or any supported image format
Vision Model Processing
AI analyzes the image based on your prompt or criteria
Structured Output
JSON response with verdicts, findings, and confidence scores
Structured analysis for any visual content
Pass/fail analysis with specific reasons. "The login button is present but the form is missing the email field" — not just "test failed."
Identify buttons, forms, navigation elements, modals, and other UI components. Verify they exist, are visible, and are in the expected positions.
Detect layout shifts, overlapping elements, broken grids, and responsive design issues. Understand the spatial relationship between components.
Evaluate contrast ratios, text readability, interactive element sizing, and visual hierarchy. Surface accessibility concerns from visual inspection alone.
Extract information from scanned documents, receipts, invoices, and forms. Structured data extraction without manual OCR configuration.
Evaluate uploaded images against content policies. Flag inappropriate content, classify image types, and enforce guidelines at scale.
Vision Model Analysis returns structured JSON, not free-text descriptions. This means your applications can parse the results, make decisions, and take action without human intervention.
Whether you are building an automated QA pipeline, a content moderation system, or a document processing workflow, the output format is designed for machine consumption.
Run visual checks on every deploy. Catch broken layouts, missing elements, and styling regressions before they reach production. Integrates directly with PQA Visual Testing.
Process user-uploaded images against your content policies at scale. Get structured classification results and enforce guidelines without manual review.
Audit your web applications for consistency, branding compliance, and accessibility issues across every page and viewport.
See Vision Model Analysis process real images in a live demo.
Request a Demo