Canvas-agnostic
One API for any whiteboard, node graph, or infinite canvas — Excalidraw, tldraw, React Flow, Fabric, Konva, or your own editor.
One API for whiteboards, node graphs, and infinite canvases. Capture layout, grouping, and flow so agents reason about the whole workspace — not isolated exports.
Why Canvas Vision
Agnostic integration, edge-speed inference, full-board understanding, and open-model choice — what spatial AI needs to work in production.
One API for any whiteboard, node graph, or infinite canvas — Excalidraw, tldraw, React Flow, Fabric, Konva, or your own editor.
Vision and context processing run close to your users — low latency, no round trip to a distant region for every board read.
Capture layout, grouping, proximity, and flow across the entire workspace — not cropped screenshots or isolated JSON fields.
Pick Llama, Gemma, Kimi, or other supported open models per request — trade off speed, cost, and quality without changing your integration.
When an agent only sees JSON fields or small image slices, it misses the logic of the board. Spatial context is often the difference between a useful answer and a wrong one.
Most systems pass along content, but not the arrangement that tells AI what belongs together, what comes first, and what matters most.
Canvas Vision helps your product send the full canvas story: elements, layout, relationships, and the viewport context that shapes interpretation.
From copilots and workflow builders to agent tools that fetch canvas context and feed it straight into the next LLM turn.
Generate summaries, next steps, and clustered insights from workshops and planning boards.
Help agents understand node graphs, decision trees, and process maps without losing structure.
Turn spatially arranged references, notes, and frames into context-rich prompts for analysis.
Call Canvas Vision as an AI tool from your agent stack — get full-board context back and pass the response into the next model turn as structured grounding.
The product story is simple: plug into your canvas, capture the right context, and manage usage like a real API product.
Plug Canvas Vision into your whiteboard, node editor, or infinite canvas workflow.
Send the full board state so AI can read grouping, proximity, hierarchy, and flow.
Power agents that can summarize, classify, review, and reason across the whole canvas.
Technical teams need to know how an API fits into production. This makes the offer clear: spatial context in, better AI behavior out, with the controls needed to manage rollout.
Create a key, connect your product, and start testing spatially aware AI workflows on real canvases.