#CryptoRewards #AI #EarnCrypto
Scholarcy (featured at Quasa.io/projects/scholarcy) is one of the most convenient and time-saving AI research assistants in 2026. Especially suitable for students, academics, researchers, professionals, and anyone who needs to quickly understand long PDFs, research papers, reports, books, and articles without having to read them word-for-word.
When you upload a PDF (or paste a URL), Scholarcy instantly generates a clear, structured summary card that includes key concepts, key findings, methodology overview, results, conclusions, limitations, and a highlighted summary. Extract figures/tables with captions, create flashcard-style breakdowns of key terms, and even generate TL;DR paragraphs, study limitations, and recommended further reading.
The output is beautifully formatted, with collapsible sections, and exportable to Word/Excel/PowerPoint, perfect for literature reviews, essay preparation, grant applications, or staying up to date on industry reports.
Main strengths: offers highly accurate summaries (especially for technical/academic papers), handles very long documents (100+ pages) without losing context, allows you to extract references and jump to citation sources, highlights contradictory evidence and gaps, supports multiple languages, and provides a browser extension that allows you to summarize online articles in one click.
The recent 2026 update added improvements to figure/table OCR, important questions for AI generation (“What assumptions does this make?”), and integration with Zotero/Mendeley for reference management.
Users love the ability to capture nuance while reducing reading time by 70-90% (“It’s like having a smart research assistant”), the clean, non-distracting cards, and the authenticity of dense academic documents. The free tier provides unlimited basic summaries (exports are limited). Paid plans (from £4.99 to £9.99 per month) give you full export, unlimited long documents, priority processing, and advanced critical analysis.
small cons: There are occasional small misunderstandings of very niche or poorly formatted papers, extraction of figures and tables can miss subtle details on low-quality scans, and this is no substitute for deep reading (this is clearly stated). But for literature reviews, skimming new papers, or keeping up with the latest in a field, Scholarcy is one of the most practical and reliable AI tools available.
A savior for heavy readers and researchers — earn 1 QUA reward via Quasa too!
4.8/5 stars (Good for accuracy, speed, and usefulness. Slightly docked due to niche content and rare misreadings with limited free exports).
Get started: https://quasa.io/projects/scholarcy
