Hey Product Hunt — I’m Kim, maker of Canvas Vision. 👋

Your canvas is endless—your AI’s vision should be too.

If you’ve tried to integrate AI onto a whiteboard, node editor, or infinite canvas, you’ve probably hit the same wall we did: screenshots lose structure, limited image export on large canvas layouts, and raw JSON loses spatial meaning. Models end up guessing from a crop instead of understanding how things are grouped, connected, and laid out on the board, A picture is worth a thousand words.

So I've built Canvas Vision — a spatial context API that helps AI reason about the whole workspace: layout, grouping, proximity, and flow — not just isolated exports.

What you can do with it

Whiteboard copilots — summaries, next steps, clustered insights from workshops and planning boards
Visual workflow builders — agents that understand node graphs and process maps without flattening the structure
Design & research boards — turn spatially arranged notes and frames into grounded prompts
Agent tool handoff — call it from your stack and pass full-board context into the next model turn

Why teams use it

Canvas-agnostic — Excalidraw, tldraw, React Flow, Fabric, Konva, or your own editor
Full-board context — built for spatial understanding, not cropped screenshots
Edge-friendly — vision processing close to users for lower latency
Production-ready — API keys, usage tracking, and billing you can ship with

I’d love your honest take:

What canvas are you building on?
What’s the one AI feature you wish understood your board better?

Thanks for checking out — happy to answer every question in the thread today.

Why teams use it

Canvas Vision

AI canvas vision API for every whiteboard or canvas tool

AI canvas vision API for every whiteboard or canvas tool