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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.

Userdoc logo
Userdoc
✓ verifiedFree trial

AI requirements-management workspace turning ideas or existing code into structured specs for product and engineering teams.

2.0K visits/mo5.7K saves
Heidi logo
Heidi
✓ verifiedFreemium

AI clinical scribe and care assistant that drafts notes, codes and follow-up tasks for clinicians across specialties.

1.8M visits/mo
Eraser AI logo
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
Pricing
Lite: $19/seat/mo (up to 3 seats)
Pro: $25/seat/mo (unlimited seats and projects)

Free trial available

No public pricing

Free trial available

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)
Core features
  • AI-assisted generation of user stories, epics, and non-functional requirements
  • Converts existing source code into feature-level documentation
  • Version history and change tracking for requirements, like Git for specs
  • Generates AI-ready development plans and coding guidelines
  • Stakeholder collaboration on personas, journeys, and acceptance criteria
  • SOC 2 Type II compliance for enterprise use
  • Ambient transcription and automated clinical notes
  • Coding and clinical documentation support
  • Evidence answers with transparent citations
  • Customizable note templates
  • Task management and follow-up handling
  • Team and enterprise controls with EHR integration
  • 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
Use cases
  • Documenting a legacy codebase before a rewrite or handoff
  • Aligning clients and developers on scope before a project starts
  • Feeding structured requirements into AI coding assistants
  • Centralizing acceptance criteria and test cases for a dev team
  • Reducing clinical documentation time
  • Generating consultation notes and codes
  • Looking up cited clinical evidence
  • Coordinating care tasks across a practice
  • Create architecture and cloud diagrams fast
  • Write and maintain design docs
  • Keep codebase diagrams up to date
  • Embed live diagrams in Notion/Confluence
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