Synthical: Science, Simplified

Synthical is a research platform built around a simple problem: there is too much literature and not enough time. It curates a collection of roughly three million articles from arXiv, biorxiv, Medrxiv, and ChemRxiv, updated continuously as new work appears. The collection is curated rather than dumped together, which matters when you are looking for relevance rather than sheer volume. The AI layer does the second job, simplifying complex concepts so a paper outside your immediate field becomes something you can actually follow, and then share with someone else. Instead of reading an abstract and giving up, you get a plain-language version first and then decide whether the paper is worth the full read. Team collaboration features let a group read, save, and discuss in one place rather than passing links around. The platform is free to use for everyone, with additional features available for a monthly fee if you need more than the free tier provides.

- Search and browse a large curated preprint collection

- Read AI-simplified explanations of dense concepts

- Track new work across several preprint servers

- Save and share findings with a team

- Researchers keeping up with literature in and around their field

- Students and self-learners working through difficult material

- Teams that read and discuss papers together

Simplification is a summary, and summaries drop nuance, caveats, and method details that often matter most, so read the original before you cite anything. Citation details should be copied from the original record rather than reconstructed from a summary. Much of the collection is preprints, which means the work has not completed peer review, and that changes how much weight it deserves. The free tier covers the basics while extra features cost money monthly, and the pricing can change. Finally, coverage leans toward preprint-heavy fields, so if you work in an area that publishes elsewhere, expect gaps.