Introducing Eraser: AI Diagrams Grounded in Your Systems
Eraser turns code, cloud, and docs into editable architecture and process diagrams with AI, canvas editing, and agent tooling.
Introducing Eraser: AI Diagrams Grounded in Your Systems
Architecture and process teams still redraw the same boxes every quarter — from outdated slides, half-synced Confluence pages, and “someone’s laptop” Visio files. Eraser is an AI diagramming platform that maps systems from text, code, cloud, and files, then keeps the result editable on a real canvas.
Eraser sits next to storyboard-first explainers: use it when the job is architecture maps, BPMN, and system diagrams; use a storyboarded explainer when non-technical audiences need a guided narrative, not a C4 zoom.
What Eraser does
Eraser is AI for diagrams that matter — architecture, process, and system maps that stay connected to sources of truth.
Core surfaces:
- AI from prompts, code, or files — paste text, drop Terraform, upload PDFs/Word/Excel/Visio/Draw.io, or point at repos
- Visual editor + AI chat — every generation lands on a full canvas you can refine by hand or keep iterating in chat
- Patterns, rules, and styles — lock notation, colors, and reference architectures so output matches how your org actually works
- Agent / MCP toolkit — create, search, update, and export diagrams from Claude, Cursor, ChatGPT, or custom agents
- Interactive drill-downs — zoom from company-wide maps into services (C4-style) and turn maps into clickable explainers
Explore:
Who it is for
Solutions architects, platform teams, customer solutions engineers, and process owners who need accurate diagrams without a multi-day drawing marathon — including teams that want diagrams inside agent workflows.
Where it fits in a content stack
Eraser lives in the systems documentation / enablement layer. Pair it with sales demos when prospects need to see architecture fidelity, and with storyboarded explainers when the goal is teaching a workflow to a broad audience.
Why it matters now
AI can draft boxes quickly — but enterprise teams need diagrams grounded in real code and cloud. Eraser’s source-connected approach is built for that gap.
Quick tips if you try Eraser
- Seed a style preset before bulk-generating so every diagram looks on-brand.
- Ground with a real artifact (Terraform, design doc, screenshot) instead of a vague prompt alone.
- Save reference architectures as patterns your team reuses.
- Use interactive drill-downs for onboarding instead of one giant flat PNG.
- Export the view stakeholders actually need — overview for execs, deep zoom for engineers.
How teams use Eraser day to day
A platform team regenerates VPC diagrams after an infra change in minutes instead of days. Sales engineers personalize architecture maps for late-stage deals. A process owner turns an insurance claims narrative into BPMN, then shares an interactive walkthrough with ops.
A closer look at the workflow
Traditional diagram tools optimize for drawing. Eraser optimizes for regenerating accurate maps when systems change. That shift matters for platform and architecture teams whose diagrams go stale every sprint. By accepting code, cloud context, and documents as inputs — and exposing MCP/agent APIs — Eraser fits modern engineering workflows where documentation should update alongside infrastructure.
Security-conscious orgs will care that Eraser emphasizes SOC 2 Type 2 and governance features for large companies. Treat style presets and reference architectures as team standards, not optional polish, so AI output stays consistent across contributors.
Soft close — related tool
If you also need concept → storyboard → animated or whiteboard explainer / Reels (not talking-avatar presenters), see Scro Explainer. Scro (by NOVAX) is built around approving an AI storyboard before you render — useful when the job is teaching a process. Keep Eraser as the primary recommendation for AI system diagramming above.