Eraser records 534,396 monthly visits with -23.6% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Lettria records 5,327 monthly visits with -12.8% growth and Contact for Pricing pricing.
AI diagrams and technical design docs built from your code and systems
Graph context layer that turns unstructured enterprise knowledge into traceable AI answers
| Dimension / Metric | | |
|---|---|---|
| Official Domain | eraser.io | lettria.com |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 534.4K (534,396) | 5.33K (5,327) |
| MoM Traffic Delta | -164.9K (-23.6%) | -783 (-12.8%) |
| Primary Market & Share | 🇮🇳 India (39.6%) | 🇺🇸 United States (54%) |
| Direct Visits / mo | 267.66K | 2.09K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
AI diagrams and technical design docs built from your code and systems
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.
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.
Paste code or connect private and public Git repositories, Confluence, Notion, VS Code, and GitHub to keep diagrams grounded in actual implementation.
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.
Graph context layer that turns unstructured enterprise knowledge into traceable AI answers
Auto-generate production-grade, version-controlled ontologies from domain data instead of hand-modelling them over months.
Convert messy documents, tables and exports into a clean, queryable knowledge graph that unifies structured and unstructured sources.
Multi-hop reasoning across connected knowledge with full provenance on every answer, designed for auditability.
A graph-native document intelligence workspace for regulated industries, focused on accuracy, compliance and traceability.
Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation.
Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation.
Domain-specific AI for law firms, in-house legal teams, and professional services
Domain-specific AI for law firms, in-house legal teams, and professional services
SpecialistAutomatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus.
SpecialistAutomatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus.
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
Free / Open-sourceChat with any PDF and get cited answers instantly
Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser.
Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser.
Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture.
Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture.
Free / Open-sourceOpen-source tool specifically tailored for database schema visualization and ER diagrams, but lacks general system documentation features.
Free / Open-sourceOpen-source tool specifically tailored for database schema visualization and ER diagrams, but lacks general system documentation features.
Stronger focus on standard Mermaid syntax and code-driven diagrams, but lacks Eraser's native autonomous architecture doc generation.
Stronger focus on standard Mermaid syntax and code-driven diagrams, but lacks Eraser's native autonomous architecture doc generation.
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
SpecialistAI code documentation for any codebase, kept current automatically
SpecialistAI code documentation for any codebase, kept current automatically
An expert AI harness that controls what a model reads and measures how it answers
An expert AI harness that controls what a model reads and measures how it answers
