Posters.science - Posters.science

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Soft launch: Posters.science is currently in early access. Core platform functionality is up and running, and we'd love for you to test it. We would greatly appreciate it if you could share a poster, discover posters, and share your thoughts via our feedback form.
It is estimated that millions of scientific posters are presented every year at conferences, making them one of the most common forms of scientific communication. Posters often highlight early-stage insights and preliminary results, introducing them for the first time beyond the research team. As such, they represent a valuable source of scientific knowledge. Yet most are seen by a handful of conference attendees and then forgotten. We want to change that.
Science is shifting toward a culture where impact goes beyond journal publications, and posters are increasingly recognized as valuable research outputs in their own right. Posters.science gives your poster a citable record so others can formally credit your findings, makes it discoverable to researchers searching for work like yours, and ensures it's AI-ready for the next generation of scientific tools. Turn it into a legitimate, lasting output you can claim alongside your other contributions.
Upload a PDF or image of your poster.
Review and adjust the metadata automatically extracted from your poster by an AI-powered model.
Archive your poster on Zenodo to make it FAIR and citable.
Scientific posters are typically shared as PDFs with highly variable structure, leaving their content largely inaccessible to programmatic discovery and analysis. To address this, we developed a standardized JSON schema for representing poster metadata and content. Every poster shared with Posters.science is accompanied by a poster.json file conforming to this schema, making posters machine-actionable, FAIR-compliant, and ready for automated processing. Our vision is that any time a poster is shared, a companion poster.json should be included to enable greater findability and reusability across the research ecosystem. We have developed an AI-powered model to help create structured metadata automatically from posters.
Posters.science automatically discovers and indexes scientific posters from repositories and platforms across the web. Use Posters.science's discover feature and browse the latest findings to spark new hypotheses, support your ideas, stay ahead of emerging work in your field, and connect with researchers working on the same problems.
Posters.science automatically discovers and indexes poster records from repositories. An AI-powered model called PosterSentry verifies that the records contains a poster file before indexing it.
Browse all indexed posters. Filter by publication date or search using keywords to find posters of interest.
Each poster has a dedicated page that includes full metadata and a direct link to the original archived file.
Pose a research question in natural language. Smart Search uses the content of indexed posters to surface the most relevant results.
Want to learn more about how Posters.science works? Check out our documentation.