Live
Canvas Vision APIv1.0

Give AI the Full Canvas,
Not a Cropped Guess

One API for whiteboards, node graphs, and infinite canvases. Capture layout, grouping, and flow so agents reason about the whole workspace — not isolated exports.

  • 500 free credits / month
  • No credit card
  • 5-minute setup
Built for canvas tools like
  • Excalidraw
  • tldraw
  • React Flow
  • Fabric.js
  • Konva.js
Acme/Workspaces/Q4 Roadmapsess_8k2m
vision-2.1·POST /api/v1/agent
100%
board1920×1080 · 6 elements
sticky#s_01
Q4 Roadmap
risk#s_02
Rate-limit on
`/extract`
Auth flowframe_a
API gateway
service
JWT validation
fn
Session store
db
Maya
scanning canvas
6elements·60fps
request.json
response.json
POST200 OK
awaiting agent request
POST /api/v1/agent · ready
JSON·UTF-8·LF
ready

Why Canvas Vision

Built for Real Canvas Products

Agnostic integration, edge-speed inference, full-board understanding, and open-model choice — what spatial AI needs to work in production.

Integrate anywhere

Canvas-agnostic

One API for any whiteboard, node graph, or infinite canvas — Excalidraw, tldraw, React Flow, Fabric, Konva, or your own editor.

Fast where users are

Runs on the edge

Vision and context processing run close to your users — low latency, no round trip to a distant region for every board read.

Full spatial context

Sees the whole canvas

Capture layout, grouping, proximity, and flow across the entire workspace — not cropped screenshots or isolated JSON fields.

Choose your stack

Open-source models

Pick Llama, Gemma, Kimi, or other supported open models per request — trade off speed, cost, and quality without changing your integration.

Most Canvas AI Still Works From Fragments

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.

The Problem

Typical integrations lose the board's meaning

Most systems pass along content, but not the arrangement that tells AI what belongs together, what comes first, and what matters most.

  • Raw data drops grouping and visual hierarchy
  • Screenshot slices hide cross-board relationships
  • Agents struggle with flow, clusters, and adjacency
The Solution

A clearer input layer for spatial AI

Canvas Vision helps your product send the full canvas story: elements, layout, relationships, and the viewport context that shapes interpretation.

  • Made for whiteboards, graph editors, and visual workspaces
  • Captures structure that makes LLM output more relevant
  • Ships with keys, usage visibility, and billing-ready controls

How Teams Use It

From copilots and workflow builders to agent tools that fetch canvas context and feed it straight into the next LLM turn.

01

Whiteboard copilots

Generate summaries, next steps, and clustered insights from workshops and planning boards.

02

Visual workflow builders

Help agents understand node graphs, decision trees, and process maps without losing structure.

03

Design and research boards

Turn spatially arranged references, notes, and frames into context-rich prompts for analysis.

04

AI tool context handoff

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.

From Integration to Production

The product story is simple: plug into your canvas, capture the right context, and manage usage like a real API product.

01

Connect your canvas

Plug Canvas Vision into your whiteboard, node editor, or infinite canvas workflow.

02

Capture spatial context

Send the full board state so AI can read grouping, proximity, hierarchy, and flow.

03

Return better answers

Power agents that can summarize, classify, review, and reason across the whole canvas.

Built for Shipping Teams

Product detail buyers can evaluate quickly

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.

  • Built around an external API your product can call directly
  • Designed for full-canvas understanding instead of cropped screenshots
  • Fits teams that need usage tracking, key management, and billing controls

Ready to Make Your Canvas
Readable to AI?

Create a key, connect your product, and start testing spatially aware AI workflows on real canvases.