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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Glean
✓ verifiedPaid
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
3.2M visits/mo
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Eraser AI
✓ verifiedFreemium
AI co-pilot for technical diagrams and design docs, with diagram-as-code and integrations for engineering teams.
873K visits/mo41K saves
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DocuWriter.ai
✓ verifiedFree trial
AI tool that connects to your repo and auto-generates code, API and UML documentation, keeping it in sync as code changes.
71K visits/mo26K saves
Pricing
No public pricing
No public pricing
Free: $0 (3 files, 3 AI diagrams)
Starter: $15/user/mo billed annually (40 AI diagrams)
Business: $45/user/mo billed annually (250 AI diagrams, SSO)
Starter: $20/mo (50 credits)
Professional: $49/mo (200 AI documents)
Enterprise: $129/mo (500 AI documents)
Unlimited: $299/mo (unlimited AI documents)
Free trial available
Core features
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- ✦AI-generated diagrams from prompts
- ✦Diagram-as-code editing
- ✦Markdown design docs
- ✦Eraserbot auto-updating codebase diagrams
- ✦Integrations: GitHub, Notion, Confluence, VS Code
- ✦Export to PNG/SVG/PDF/MD and MCP server
- ✦AI-generated code, API and UML documentation
- ✦Repo integrations: GitHub, GitLab, Bitbucket, Azure DevOps
- ✦Autopilot agent that detects documentation drift
- ✦OpenAPI/Swagger spec generation
- ✦MCP server access for AI tools
- ✦Self-hosted option
Use cases
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →Create architecture and cloud diagrams fast
- →Write and maintain design docs
- →Keep codebase diagrams up to date
- →Embed live diagrams in Notion/Confluence
- →Documenting legacy codebases
- →Onboarding new engineers
- →Generating and syncing API references
- →Producing docs for open-source projects and SDKs
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