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SVGBase vs UXbeam

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

SVGBase compared with UXbeam
DetailSVGBase logo SVGBase UXbeam
What it doesAI SVG Generator & Editor with free conversion tools Free tree testing tool for testing information architecture
StageNot given Established
FoundedNot given 2021
Based inNot given Not given
Pricing modelFreemium Free
PricingFree tools: SVG editor, viewer, and conversion (SVG to PNG, JPG, WebP, PDF, DXF). AI credits: Mini $4.90 (40 credits), Starter $9 (80 credits), Creator $19 (200 credits). Generate or edit SVG: 5 credits (Fast) or 10 credits (Quality). New accounts receive 20 free credits. Monthly subscription availa Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
  • AI SVG generation from text
  • SVG code editor with live preview
  • Online SVG viewer
  • SVG to PNG conversion
  • SVG to JPG conversion
  • SVG to WebP conversion
  • SVG to PDF conversion
  • SVG to DXF conversion
  • Animated SVG creation
  • Browser-based processing
  • Unlimited tree-testing studies and participants
  • Leading-task detection to catch biased wording
  • Path replay visualization of participant navigation
  • Task outcome breakdown into direct, indirect, and elsewhere
  • Full-scenario completion tracking across multiple tasks
  • Mobile-compatible participant experience
  • Integrated card sorting with tree testing workflow
  • Multiple valid destinations per task
  • Iterative testing with versioned results
  • Complete CSV export of participant-level results
What makes it different
  • Free editing and conversion tools with no login required
  • AI-generated editable SVG code, not static images
  • Support for animated SVGs
  • Multiple export formats including CAD-compatible DXF
  • No credit card required and truly unlimited at no cost
  • Built-in methodological safeguards prevent common research mistakes
  • One-screen setup lets researchers create tests in minutes
  • Mental Model Detection identifies competing ways different user groups organize content
  • AI-assisted participant recruitment with audience targeting
Community votes00
DR (Domain Rating by Ahrefs)5 +3 (up) since last check35 no change since last check
Trust Flow (Majestic)20
Citation Flow (Majestic)1216
Referring domains (Majestic)22

5 details filled in for both companies.

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