Layout UI on a customizable grid, use a reference overlay, and create canvases from images in a few clicks. Zero runtime impact. Works with all canvas types and precise alignment settings.Dreaming of grid-based layout?A small but very useful Unity extension that helps with UI layout.In a single window, you can enable snapping for UI objects and quickly set a reference image.No more manually entering window or button sizes — everything is done in a simple and intuitive way right in the editor. You can add a reference and adjust the Canvas resolution to match the resolution of the reference image. Handy settings for offset, alignment, and grid color are included. No impact on runtime performance or build size.Works independently of Unity Grid, using only RectTransform objects. Operates in local canvas space with any canvas scale or rotation.Snapping during Move/Rect drags; prevents inverted/zero-size rectangles; Undo integrated.Axis locking: click Move gizmo X/Y arrows to constrain snapping to one axis.Canvas origin: 3×3 selector to round coordinates around a chosen point in the assigned Canvas.Grid overlay: full-screen dot grid, 1–4 px dot size, color/alpha, offset% per axis, automatic LOD with MaxDots cap.Quick step controls: ÷2 / ×2; settings persist via EditorPrefs.Reference overlay: create from Sprite/Texture; non-raycast magenta Image at 10% alpha, centered at native size; auto increases TextureImporter Max Size and uses real source dimensions.Fit to Ref: sets CanvasScaler to Scale With Screen Size and copies reference sprite size to referenceResolution.Requirements: Unity 2021.3+; uses built-in UGUI; tested in URP templates.Editor-only: operates in Scene view, ignores Alt (navigation), zero runtime footprint.Menu: Tools > Multitool > RectTransform Snapper.The asset was created primarily using Chat GPT-5 and Claude Sonet 4.5. AI was used as a tool to carry out the author's intent in the exact way the author envisioned the asset. Nearly all methods were generated and then edited multiple times during the creation process with the help of GPT-5 and Claude Sonet 4.5.The asset description was generated using Claude Sonet 4.5 and then proofread and edited by the author.
