Free AI paper search, done well:search wide for free, read deep where it counts

Many AI search tools offer a free tier, and the traditional workhorses — PubMed and Google Scholar — cost nothing at all.

Building an overview of a field, gathering candidate papers, refining search terms — the searching part of the workflow can be almost entirely covered by combining free resources. Try running your topic through a few searches before you pay for anything.

Stay on free tiers long enough, though, and you'll typically run into three walls.

First, usage caps: the free tier's limits stop you from searching when you want to. Second, storage: results and found papers scatter and vanish inside each tool. Third, reproducibility: you can't retrace how you found that paper last week. The first is a hard limit of the tool; the second and third can be solved by how you design your workflow.

The fix for the storage and reproducibility walls is simple: gather every paper you find — from any tool — in one place, as PDFs.

PDFs stay with you no matter what happens to a tool's free tier, and they accumulate into an asset. Search tools are the doorway; your PDFs are home base. Take that stance, and no matter how many free tools you juggle, your results never scatter.

The whole free-tier strategy fits in one sentence: use free tools broadly for the searching, and concentrate your reading effort on the papers that truly matter.

My criterion for narrowing the reading list is how closely a paper matches my research question (PICO and the like). And the principle for deep reading never changes: AI search results and AI summaries are the entry point — check the participants, methods, figures, and limitations in the original PDF. That holds whether the tool was free or paid.

Paperfy is free to start, too. Upload the PDF of a paper you've found, and the AI-generated summary, figures, tables, and original text appear on a single page per paper. You can edit and save the summary by hand as well.

Search with free AI tools; read and keep with Paperfy's free tier. You can stand up the entire pipeline, from search to storage, without paying anything. If, after reading more papers, the workflow proves itself in your research life — then consider paying.

Finally, a word on when to spend. Rather than paying a little for every tool, it's more rational to find the bottleneck in your own workflow — is it search volume, or reading capacity? — and put your money there.

Before you think about money, figure out where your paper workflow actually gets stuck. Treat the free period as your observation window for exactly that.