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Scifocus vs GPTinf

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

Scifocus compared with GPTinf
DetailScifocus logo ScifocusGPTinf logo GPTinf
What it doesAI-powered research assistant for academic writing and scientific discovery AI writing toolkit for humanizing, detecting, and refining AI-generated text
StageStartup Not given
FoundedNot given 2023
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree tier with 800 words. Paid plans: Basic $6.99/month (10,000 words/month for Daily Academic Toolkit, 5,000 for Research Assistant Pro); Pro $10.99/month (50,000 words/month for Toolkit, 7,500 for Pro); Ultimate $35.99/month (unlimited Toolkit access, 15,000 words/month for Research Assistant Pro Free tier available for all tools. Paid plans: Lite $4.99/monthly (5000 humanizer words, 2500 paraphraser words), Pro $12.49/monthly (25000 humanizer words, 12500 paraphraser words), Unlimited $29.99/monthly (unlimited humanizer and paraphraser words). Yearly plans available at 50% discount.
Key features
  • Literature review tools to find and organize relevant research
  • Note-taking and mind-mapping features for organizing research insights
  • Essay and academic writing assistance
  • Support for responding to reviewer comments and revisions
  • Grammar checker and citation format conversion
  • Paraphrasing tools for original content creation
  • Over 50 modules in Daily Academic Toolkit for essay and research support
  • Research Highlights Extractor and Content Fusion tools
  • Multiple AI model integration with seamless switching
  • End-to-end encryption and advanced security measures
  • Free tier with no registration required
  • File upload capability for humanizer and paraphraser
What makes it different
  • Grounded in scientific expertise with content trained on scholarly articles and STM knowledge
  • Comprehensive all-in-one platform covering entire research lifecycle from idea to publication
  • User data ownership and privacy protection without using inputs to train base models
  • Model-agnostic flexibility allowing seamless switching across different LLMs
  • Journal-standard output optimization for publication-ready academic content
  • Custom non-AI algorithms instead of AI refining AI
  • Achieves average AI score under 5% after humanization
  • 37% better detection results than competitors
  • Human-first approach that supports rather than replaces human thinking
  • Ethical stance against cheating and academic dishonesty
Community votes00
DR (Domain Rating by Ahrefs)6 no change since last check70 no change since last check
Trust Flow (Majestic)714
Citation Flow (Majestic)2738
Referring domains (Majestic)63820

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