SKUVis

IMAGE TOOL

Smart image pipeline in one run

When your cleanup recipe is fixed, run detection through upscale in one quote instead of opening six separate tools.

At a glance: Select one or more vision abilities for a single product photo; SKUVis runs the Aidge VisionFlow pipeline and returns one processed image after an 8-credit quoted run—inputs must have each edge greater than 256 px, long edge ≤1920 px, short edge ≤1080 px, and file size ≤5 MB.

Smart images abilities around one product photo
One upload, one combined quote—final image only (no per-step downloads).

Abilities you can combine

Toggle any subset of six steps: find elements, cut out, erase, translate, crop, upscale—each selected ability must have its sub-options filled.

Six smart image abilities and vision-flow limits
Example: find + cut out + crop for a square white main from a messy supplier shot.

Abilities must be unique in one run. Translation requires an allowed language pair; erase requires elements or a mask when ability 3 is on.

  • 1 Find elements — watermark, logo, text, text block (on product vs background)
  • 2 Cut out — white or transparent matting, optional keep-matching filter
  • 3 Erase — element types or painted mask
  • 4 Translate — source/target language pair supported by smart-images list
  • 5 Crop — default 800×800 target (editable 100–5000)
  • 6 Upscale — factor 2–4

When to use smart images vs single tools

Use smart images for repeatable combo jobs under vision-flow limits; use standalone tools when you need to approve each step separately.

Limits are tighter than background removal (3000 px) because VisionFlow enforces the 1920×1080-class cap and 5 MB max.

How it works in SKUVis

Upload within vision-flow limits, configure abilities, confirm 8 credits, download one output from History.

  1. Upload a photo passing validateVisionFlowImage checks.
  2. Select abilities and fill conditional fields (detect types, matting mode, erase mask, languages, crop size, upscale factor).
  3. Review the 8-credit quote and submit.
  4. Inspect the single output before listing—retry with standalone tools if a stage needs manual QA.

There is no partial credit if you dislike one stage; split into separate tools for step-by-step control.

What it is not

Smart images is not product-images planning, virtual try-on, or video.

Failed pipeline runs follow the same credit release rules as other tools when applicable.

Inputs & outputs

What you provide

  • One product image
  • One or more abilities (1–6) with required sub-fields

What you get

  • One processed image
  • Each edge >256 px
  • Long edge ≤1920 px, short edge ≤1080 px
  • 5 MB max
  • 8 credits on current preset—confirm in app

Common use cases

  • Detect, erase promo text, mat white, crop square in one launch-day pass
  • Translate and crop when dimensions fit vision-flow caps

FAQ

Why are limits tighter than background removal?

VisionFlow shares the 1920×1080-class and 5 MB constraints enforced before the provider call.

Can I see intermediate files?

No—only the final image. Use single-purpose tools for step-by-step previews.

If the pipeline fails, are credits returned?

Failed or canceled runs show as not charged in History when release rules apply.