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Browser local Local AI Batch

Surface Crack Inspector

Surface Crack Inspector reviews property and construction photos of walls, floors, concrete, tile, or painted surfaces in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.

Browser localBatchLocal AI

Choose an image to start

Files never leave your browser — all processing happens locally

Supported formats

JPEGPNGWEBP

Supported formats

Input: image/jpeg, image/png, image/webp

Output: image/png

Local processing

Selected files are handled inside your browser session. Large images and batch work depend on browser memory and device performance.

Limits

Performance depends on image size, batch count, browser support, model loading, and device memory.

Common searches for Crack Inspect

Surface Crack Inspector reviews property and construction photos of walls, floors, concrete, tile, or painted surfaces in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.

local visionbrowser aiimage detectionsurface crack inspectorwall crack detectorconcrete crack phototile crack checkproperty inspection

Steps

How this tool works

  1. Step 1

    Upload a wall, floor, tile, or concrete photo.

  2. Step 2

    Crop to the inspection area when the photo includes extra room detail.

  3. Step 3

    Run local AI to highlight crack-like lines.

  4. Step 4

    Review the marked paths and count summary.

  5. Step 5

    Download the annotated inspection PNG.

FAQ

Useful limits and answers

Is my image uploaded?

The selected image is analyzed in the browser session.

What does the output include?

The result image includes highlighted regions, a count summary, and review guidance.

Which images work best?

Clear photos with steady lighting, visible object edges, and limited overlap produce stronger detection.

Can I batch process images?

Yes. Batch mode creates one annotated PNG per selected image.

What are the limitations?

Counts are estimates from local visual signals. Review the highlighted regions before using results for inventory, safety, or compliance decisions.

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