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Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
AI tool that summarizes scientific papers into abstract, methods, results, and conclusion sections, with figure and citation support.
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
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
- ✦Structured section-by-section paper summarization
- ✦Bulk and multi-paper summarization and comparison
- ✦Chat with figures for data interpretation
- ✦Folder and tag-based library organization
- ✦Semantic search across indexed documents on Pro
- ✦ChatGPT connector integration
- ✦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
- →Students digesting dense research papers quickly
- →Researchers doing literature reviews across many papers
- →Academics organizing a personal paper library
- →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