A lightweight browser add-on that automatically detects paywalled research articles and searches for open-access versions, displaying a green tab when found.
A massive database harvesting content from thousands of open-access sources including institutional repositories, subject repositories, and publisher-hosted OA journals.
A programmatic interface allowing developers and institutions to integrate open-access discovery into their own systems, tools, and workflows.
A complete snapshot of the Unpaywall database available for download, containing metadata for all articles including open-access status and links.
Advanced matching technology that identifies when different versions of the same article are available across multiple repositories and publishers.
Tools and support for integrating Unpaywall into library systems, discovery platforms, and institutional research infrastructure.
Researchers and students use the Unpaywall browser extension to bypass paywalls when accessing articles from home or institutions with limited subscriptions. When encountering a paywalled article on publisher sites, the extension automatically searches for legal open-access versions, saving time and expanding access to needed literature. This is particularly valuable for independent researchers, those at smaller institutions, or anyone working outside their institutional network.
Academic libraries integrate Unpaywall into their discovery systems and link resolvers to provide patrons with open-access alternatives to subscription-only content. This extends the effective collection of the library without additional subscription costs. Libraries use the API to enhance their catalogs with open-access indicators and links, improving user experience and increasing successful access rates.
Research institutions and funders use Unpaywall data to monitor compliance with open-access mandates and policies. By analyzing their researchers' publications in the Unpaywall database, institutions can track open-access rates, identify non-compliant publications, and make data-driven decisions about repository deposits and publisher negotiations. This supports institutional open-access strategies and reporting requirements.
Scholars studying scholarly communication use the Unpaywall dataset for large-scale analysis of open-access trends, patterns, and impacts. Researchers download the complete dataset snapshot to analyze geographic, disciplinary, and temporal trends in open-access adoption. This supports evidence-based research on the effects of open access on citation rates, research dissemination, and equity in knowledge access.
Academic publishers, preprint servers, and research platforms integrate Unpaywall's API to show open-access status and links within their own interfaces. This enhances user experience by providing immediate access alternatives and supports transparency about article availability. Platforms like Dimensions, Crossref, and others use Unpaywall data to enrich their metadata and provide value-added services to users.
Researchers conducting systematic reviews and meta-analyses use Unpaywall to ensure comprehensive access to literature without being limited by institutional subscriptions. The tool helps identify open-access versions of included studies, facilitating data extraction and analysis. This is particularly valuable for large review teams with diverse institutional affiliations or for reviews including historical literature.
Sign in to leave a review
3D Slash is a unique, block-based 3D modeling software designed to make 3D design intuitive and accessible for everyone, from children and educators to hobbyists and professionals. Inspired by the visual simplicity of retro video games, it uses a 'destruction' and 'construction' metaphor where users carve models out of a virtual block of material using tools like a hammer, chisel, and trowel, rather than manipulating complex vertices and polygons. This gamified approach significantly lowers the learning curve associated with traditional CAD software. It is widely used in educational settings to teach STEM concepts, design thinking, and spatial reasoning. Users can create models for 3D printing, game assets, architectural visualizations, and simple prototypes directly in a web browser or via desktop applications. The platform emphasizes creativity, speed, and fun, positioning itself as a bridge between playful digital making and practical 3D output.
Achieve3000 is an adaptive literacy platform designed primarily for K-12 education, focusing on improving reading comprehension and critical thinking skills. It uses proprietary AI and natural language processing to dynamically adjust the reading level of nonfiction articles to match each student's individual Lexile measure, a standard for assessing reading ability. The platform provides differentiated instruction by delivering the same core content at multiple reading levels, allowing all students in a classroom to engage with grade-appropriate topics while reading at their own level. It is widely used in schools and districts across the United States to support English Language Arts instruction, intervention programs, and college and career readiness. The system includes embedded assessments, writing prompts, and data dashboards for teachers to monitor student progress. By providing personalized, leveled content, it aims to accelerate literacy growth, particularly for struggling readers and English language learners.
Acuant is an AI-powered legal research and document analysis platform designed to assist legal professionals, such as lawyers, paralegals, and corporate counsel, in navigating complex legal information. It leverages advanced natural language processing and machine learning to parse vast databases of case law, statutes, regulations, and legal precedents. The tool helps users quickly find relevant legal authorities, analyze documents for key clauses and risks, and prepare for litigation or transactions. By automating time-consuming research tasks, Acuant aims to improve accuracy, reduce manual effort, and enable legal teams to focus on higher-value strategic work. It is positioned as a modern solution for law firms and in-house legal departments seeking to enhance productivity and decision-making through AI.
