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https://www.eraser.io/Eraser is built specifically for software engineers, systems architects, and DevOps teams who need technical diagrams that stay aligned with actual codebases. If your workflow requires general brainstorm mind maps, whiteboard sticky notes, or marketing visuals, alternative platforms like Whimsical AI, Miro AI, or EdrawMax are better suited. Eraser is expensive on a per-seat basis compared to general whiteboards, but it excels for technical organizations maintaining living documentation. Those seeking a generous free tier should also look elsewhere, as the free plan offers only 3 files and 3 AI credits.
Code-First Diagramming and AI Generation
Eraser operates as an AI architecture platform where a file pairs an infinite canvas with an integrated note editor. Instead of manually arranging shapes, technical teams can generate AI diagrams directly from text prompts, source code, or uploaded documents. If you only need a quick conceptual visual for a slide, Napkin AI is lighter. Engineers can instead use Eraser’s diagram-as-code domain-specific language (DSL) to draft system architectures, sequence diagrams, entity relationship diagrams (ERD), and flowcharts in code.
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To eliminate outdated architecture diagrams, Eraser provides Maps, creating live architectural maps populated directly from systems of record such as AWS accounts, VMware vCenter, a ServiceNow CMDB or even an Excel sheet. For software codebases, Eraserbot integrates into continuous integration pipelines to automatically update architecture diagrams across pull requests.
Eraser also runs a dedicated Model Context Protocol (MCP) server. This protocol connects autonomous AI coding agents such as Claude Code and Cursor directly to canvas diagrams, enabling agents to generate, inspect, and update system designs programmatically. Workspaces natively integrate with GitHub, VS Code, Notion, and Confluence.
Subscription Plans and Seat Pricing
Eraser provides four pricing tiers. All plans include unlimited free guest users who can edit and comment on invited files. The Starter tier is grandfathered and is no longer offered to new teams.
| Plan | Price | AI Credits | Key Limits |
|---|---|---|---|
| Free | $0 | 3 credits total | 3 files, 7-day version history |
| Business | $45/member/mo billed annually, or $60 monthly | 100 credits/mo | Unlimited files, 1 Git repo + 1 data source, models up to 1,000 rows, private files |
| Business Plus | $42/member/mo, min 10 seats, billed annually | 250 credits/mo | 3 repos + 3 sources, models up to 5,000 rows, SAML SSO |
| Enterprise | Custom direct sales | Unlimited credits | Unlimited repos and data sources, SCIM, custom hosting |
Paid subscription fees are strictly non-refundable except where required by applicable law.
Data Privacy, LLM Providers, and Legal Terms
Eraser states that it never uses customer data to train AI models, and confirms that its third-party LLM API providers are bound by the same non-training standard. Specific LLM API providers are not named in published documentation and could not be confirmed. The service requires users to be over 18 years of age. Eraser is operated by Eraser Labs, Inc. in San Francisco, California under United States law. Terms of service require that users are not located in any US-embargoed destination; organizations operating within sanctioned territories should carefully review this compliance clause prior to paying.
Arabic and Right-to-Left Testing Guide
Official documentation does not mention Arabic, right-to-left (RTL) support, or localized interfaces; the interface is in English. Arabic diagram labels remain untested, and diagram-as-code DSL engines frequently encounter character-ordering issues with mixed RTL and English text. Because the free plan provides only 3 AI credits, plan a structured 10-minute test before consuming them:
- Step 1: Spend one AI credit on an Arabic prompt, requesting an e-commerce order flow diagram with Arabic node names.
- Step 2: Inspect whether Arabic characters connect properly from right to left, and verify whether mixed labels containing English acronyms (such as API) and numbers render in the correct visual order.
- Step 3: Export the canvas to PNG and SVG formats and embed them into an Arabic Notion or Confluence document to confirm layout stability.
- Step 4: If automated code-generation breaks text rendering, generate the diagram structure using English prompts and manually rename the resulting box labels in Arabic.
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