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Scholarcy is an AI research-reading platform that turns academic papers, book chapters, reports, web articles, plain text, and supported video transcripts into structured summary Flashcards. Instead of producing one generic paragraph, it separates material into sections such as synopsis, highlights, key findings, methods, results, limitations, figures, tables, references, research quality, and comparisons with related work when the source supports them. Users can adjust the reading style, ask paper-specific questions through Dig Deeper, follow cited findings, add notes and highlights, and return to the original text to check context. The Scholarcy Library stores the resulting structured content in searchable Spaces and lets users organise summaries, share collections, and export material for later research or writing. Imports can come from local files, URLs, cloud storage, Zotero, RSS feeds, YouTube links, pasted text, or browser extensions for Chrome, Edge, and Firefox. Official documentation lists PDF, Word, PowerPoint, HTML, XML, LaTeX, plain text, and several bibliographic or data formats across its import routes. Export options include Word, PowerPoint, Excel, Markdown, RIS, BibTeX-style reference packages, references, tables, figures, annotated bibliographies, and literature matrices. Free access costs $0 and is capped at ten summaries, with no more than one new summary per day. The free route supports files up to 11 MB and exports Flashcards individually. Scholarcy Plus costs $9.99 per month or $90 per year, which is a $7.50 monthly equivalent. It includes plan-level unlimited summarisation, enhanced summaries, saved Flashcards, notes, highlights, collections, export of up to 100 Flashcards at once, literature matrices, and one-click bibliographies. A seven-day Plus trial converts to a paid subscription unless cancelled. Multi-user, institutional, Disabled Students' Allowance, Access to Work, and three-year arrangements are available through sales or support and may have separate pricing and bundled products. Scholarcy is now operated within Everway, following its 2024 acquisition by Texthelp. The current terms say the historical Scholarcy API is no longer commercially available, so buyers should not treat old API price pages or third-party listings as a live self-serve integration. Scholarcy works best as a screening, comprehension, note organisation, and synthesis aid. It is not a literature-review writer, citation authority, peer reviewer, or substitute for reading the papers central to an argument or method. Scholarcy markets extractive links back to source passages, but enhanced summaries, Dig Deeper answers, quality indicators, comparisons, metadata, reference matching, and any third-party AI processing can still require verification. Clean, text-accessible academic documents are the strongest input. Scanned PDFs, inaccessible text, unusual layouts, very long textbooks, weak video transcripts, paywalled URLs without accessible full text, and non-English enhanced-summary routes can produce weaker or incomplete results. The free file limit is 11 MB, the paid limit is 50 MB, up to 64 documents can be imported in one batch, and up to 100 Flashcards can be exported together. Imported source files are deleted after processing, while structured Flashcards, summaries, notes, and related account data can remain until deleted. Scholarcy's security page states that data is encrypted at rest and in transit and hosted on AWS. Its privacy policy says secure third-party servers are within the EEA, although the policy was last revised in February 2024 and the service has since moved under Everway. Organizations should confirm the current data-processing agreement, subprocessors, data location, retention, accessibility, and institutional controls directly before uploading unpublished, confidential, personal, health, student, or commercially sensitive research. Scholarcy is best for students, postgraduate researchers, literature-review teams, academics, policy analysts, accessibility users, and professionals who need a consistent first pass across many papers. It is less suitable for users who need guaranteed factual accuracy, source discovery behind institutional paywalls, OCR for poor scans, a live commercial API, automatic academic writing, or a private local-only research environment.

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