# Eraser vs WorkMagic

Eraser records 534,396 monthly visits with -23.6% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. WorkMagic records 14,786 monthly visits with -40.2% growth and Contact for Pricing pricing.

| Metric | [Eraser](https://openaitools.app/tool/eraser) | [WorkMagic](https://openaitools.app/tool/workmagic-io) |
| :--- | :--- | :--- |
| Website URL | https://www.eraser.io | https://workmagic.io |
| Categories | AI Diagram Generator, AI Copilot, AI Design Generator, AI Documents Generator | AI Testing, AI Marketing, AI Advertising, AI For Data Analytics |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 534,396 | 14,786 |
| MoM Growth Rate | -23.6% | -40.2% |
| Primary Market | India | United States |
| Direct Visits | 267,661 | 6,449 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 3 | 2 |
| Supported Platforms | Website | Website |

## Eraser

Eraser is a technical design platform aimed at the people who document architecture: enterprise architects, DevOps and platform engineers, consultants, and software teams. The core promise is speed without sloppiness, so instead of dragging boxes for hours you describe the system or point Eraser at a source of truth such as code, a cloud account, a CMDB, or a spreadsheet, and it produces a diagram that already follows sensible layout rules.

Beyond static images, Eraser supports interactive maps that zoom from a company-wide view down into a single service, guided explainers that walk teammates through a system, and AI documents for design docs and technical documentation. Team governance features such as shared style presets, naming rules, and reference architectures keep output consistent as more people create diagrams. An open-source agent toolkit and MCP server let tools like Claude, Cursor, and ChatGPT create, search, and export diagrams programmatically.

Prices are organized in tiers that include a free entry point, paid plans, and enterprise agreements, with multi-tenant, single-tenant, and self-hosted deployment options for larger organizations. Security posture includes SOC 2 Type 2 certification and SAML SSO.

**Pricing & Plans:** Freemium with paid plans and custom enterprise pricing. A free tier and free tools such as DiagramGPT are available, while paid individual and team plans plus enterprise agreements cover advanced governance, security, and deployment options; check the pricing page for current rates.

- **AI diagram generation:** Generate architecture diagrams, flowcharts, sequence diagrams, and BPMN from a text prompt, code, Terraform, or an uploaded PDF, Word, Excel, PowerPoint, Draw.io, or Visio file.
- **Maps from live systems:** Build interactive maps that sync with cloud accounts, repositories, and internal catalogs so the picture stays close to the real environment, with drill-down from org level to a single container.
- **Diagram-as-code integrations:** Paste code or connect private and public Git repositories, Confluence, Notion, VS Code, and GitHub to keep diagrams grounded in actual implementation.
- **Open-source agent toolkit and MCP server:** Run the agent toolkit in your own infrastructure under an MIT license and let MCP-compatible clients create, search, update, and export diagrams with OAuth or API tokens.
- **Team style governance:** Apply presets, naming and notation rules, and reference architectures so every teammate's diagram ships on-brand and consistent.

**Strengths:** Turns prompts, code, and files into properly laid-out diagrams instead of raw box-and-arrow output; Interactive maps and explainers make complex systems understandable to non-architects; MCP server and open-source toolkit fit agent-driven and self-hosted workflows; Enterprise controls such as SSO, SAML, and SOC 2 Type 2 certification

**Limitations:** Heaviest value comes with team and governance features that need setup; Advanced mapping and self-hosted deployment are aimed at larger organizations rather than solo users

[Profile (Markdown)](https://openaitools.app/tool/eraser.md)

## WorkMagic

Most marketing analytics stacks start from platform-reported conversions, which are inflated by double counting and by conversions that would have happened anyway. WorkMagic takes the opposite route: run incrementality tests first to establish what actually caused sales, then use those verified results to calibrate the models your team relies on day to day. The company calls this Triangulated Measurement — lift tests for truth, media mix modelling for strategic budget planning and causal attribution for tactical execution.

The platform's incrementality testing is automated and positioned on reliability: WorkMagic says 98% of its tests successfully measure lift, against an industry average of about 70%. Those results feed two downstream models. The omnichannel causal attribution model assigns credit across channels and creative while accounting for cross-channel effects, and the media mix model combines historical data with live test results to produce budget projections the vendor says land within 10% of actual performance.

A recurring theme in WorkMagic's customer stories is the halo effect — for example, TikTok Shop Ads that lift Shopify revenue far beyond the platform they ran on, or DTC attribution figures that were off by roughly a third. By measuring those cross-channel effects, brands and their finance teams share one view of incremental performance and can shift spend with more confidence. WorkMagic sells to e-commerce and omnichannel advertisers through a demo, so pricing is quoted based on your spend and measurement scope.

**Pricing & Plans:** Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

- **Incrementality testing as ground truth:** Run automated geo and holdout experiments that measure true causal lift, with the vendor reporting a 98% test success rate versus an industry average near 70%.
- **Omnichannel causal attribution:** Calibrate a multi-touch attribution model with verified lift results so channel and creative-level credit reflects real incremental impact across all sales channels.
- **Causal media mix modeling:** A real-time MMM calibrated on historical data plus live test results, producing budget projections that land within roughly 10% of actual performance.
- **Halo effect measurement:** Quantify the impact of ads on sales channels beyond the one they ran in, so ROAS reflects the whole funnel rather than a single platform.
- **Finance-aligned reporting:** Align growth and finance on the same objective metrics, replacing platform-reported CAC estimates with incrementality-adjusted figures.
- **Budget optimisation:** Convert measurement into next-dollar decisions with budget scenario planning across channels and creative.

**Strengths:** Uses causal lift tests rather than trusting platform-reported conversions; Calibrates MMM and attribution with real experimental results; Explicitly quantifies halo effects across sales channels; Transparent published accuracy claims (98% test success, projections within 10%)

**Limitations:** Demo-gated sales process with no transparent public pricing; Enterprise-grade measurement fits larger advertisers better than very small brands; Incrementality tests and MMM calibration need meaningful data volume to be reliable; Value depends on connecting ad platforms, CDP and analytics data cleanly

[Profile (Markdown)](https://openaitools.app/tool/workmagic-io.md)

## Frequently Asked Questions

### How do Eraser and WorkMagic compare in monthly traffic?

Eraser has 534,396 monthly visits, while WorkMagic has 14,786. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Eraser has a month-over-month growth rate of -23.6%; WorkMagic has -40.2%.

### How does pricing compare?

Eraser: Freemium, Paid, Contact for Pricing. Freemium with paid plans and custom enterprise pricing. A free tier and free tools such as DiagramGPT are available, while paid individual and team plans plus enterprise agreements cover advanced governance, security, and deployment options; check the pricing page for current rates. WorkMagic: Contact for Pricing. Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Miro](https://openaitools.app/tool/miro) | 30,749,206 | +1.7% | Freemium, Contact for Pricing | Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation. | [.md](https://openaitools.app/tool/miro.md) |
| 2 | [Triple Whale](https://openaitools.app/tool/triple-whale) | 1,594,461 | +1.1% | Freemium, Paid | Know what's actually working in your ecommerce business — and act on it instantly. | [.md](https://openaitools.app/tool/triple-whale.md) |
| 3 | [Napkin AI](https://openaitools.app/tool/napkin) | 1,029,978 | -17.5% | Freemium | Automatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus. | [.md](https://openaitools.app/tool/napkin.md) |
| 4 | [EdrawMax](https://openaitools.app/tool/edrawmax-com) | 301,707 | -6.5% | Paid | Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser. | [.md](https://openaitools.app/tool/edrawmax-com.md) |
| 5 | [Cloudairy](https://openaitools.app/tool/cloudairy) | 179,162 | -13% | Freemium, Contact for Pricing | Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture. | [.md](https://openaitools.app/tool/cloudairy.md) |
| 6 | [ChartDB](https://openaitools.app/tool/chartdb) | 49,523 | -33.4% | Freemium | Open-source tool specifically tailored for database schema visualization and ER diagrams, but lacks general system documentation features. | [.md](https://openaitools.app/tool/chartdb.md) |
| 7 | [Mermaid Chart](https://openaitools.app/tool/mermaid-chart) | 46,022 | +519% | Freemium, Free Trial | Stronger focus on standard Mermaid syntax and code-driven diagrams, but lacks Eraser's native autonomous architecture doc generation. | [.md](https://openaitools.app/tool/mermaid-chart.md) |
| 8 | [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | -23.6% | Free Trial, Paid | The AI data platform that gives ecommerce teams and their agents one trusted source of truth | [.md](https://openaitools.app/tool/polaranalytics-com.md) |
| 9 | [BooleanMaths](https://openaitools.app/tool/booleanmaths-pulse) | 30,692 | -9.5% | Free Trial, Contact for Pricing | Accurate attribution and a trusted data layer for D2C brands | [.md](https://openaitools.app/tool/booleanmaths-pulse.md) |
| 10 | [Lebesgue](https://openaitools.app/tool/lebesgue) | 23,737 | -24.3% | Freemium, Free Trial | An AI CMO that explains your e-commerce marketing data and tells you what to do next | [.md](https://openaitools.app/tool/lebesgue.md) |

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Source: https://openaitools.app/compare/eraser-vs-workmagic-io

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