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Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
AI research workspace that drafts full academic papers with verified inline citations from up to 500 uploaded sources in a single prompt.
Algor Education turns notes, docs, and media into AI-generated concept maps, flashcards, quizzes, and study notes.
Free AI-assisted career aptitude quiz that matches personality and skills to suggested tech career paths.
No public pricing
Free trial available
No public pricing
- ✦AI-powered semantic search across 236M+ papers
- ✦Semantic Reader for augmented, contextual paper reading
- ✦Free public API for paper search and metadata
- ✦Author and topic discovery
- ✦Citation graph exploration
- ✦Beta program for new features
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦Full document drafting from one prompt
- ✦Automated literature search via Semantic Scholar
- ✦Import and cite up to 500 uploaded papers
- ✦Inline citation verification
- ✦Export to PDF, Word, LaTeX, and BibTeX
- ✦Overleaf integration for manual editing
- ✦Zotero and Mendeley library import
- ✦AI concept and mind maps
- ✦AI flashcards and quizzes
- ✦AI study notes/summaries
- ✦Transcriptions from audio/video
- ✦Prebuilt and custom templates
- ✦Multi-language support
- ✦AI-assisted career matching using validated psychological models
- ✦Instant results with no account required
- ✦Personality analysis alongside skill-based career matches
- ✦Ranked list of best-fit career paths
- ✦Job role overview summaries for each match
- →Researchers searching scientific literature across disciplines
- →Developers building applications on top of scholarly data via the API
- →Students exploring citation networks for a topic
- →Librarians and academics needing free literature discovery tools
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Researchers producing a literature review quickly
- →Students drafting long papers with verified citations
- →Academics writing in a non-native language
- →Exporting AI-drafted content into LaTeX workflows
- →Turning notes into visual study aids
- →Creating teaching materials
- →Exam revision and self-study
- →People considering a career change into tech seeking data-driven direction
- →Students unsure which tech role fits their strengths
- →Job seekers wanting language to explain their strengths to employers or mentors