About PaperPull

Built from a problem in research.

PaperPull is a tool for turning scientific papers into structured datasets. It is designed to make research data extraction faster, more transparent, and easier to reproduce.

Why I built it

From one meta-analysis to a tool for other researchers.

PaperPull began with a problem I encountered while conducting a meta-analysis: extracting results from scientific papers was slow, repetitive, and surprisingly easy to get wrong.

Modern AI models seemed well suited to this work. They could read papers and extract structured information far more quickly than I could, while applying the same instructions consistently across every study.

I started building PaperPull to make that process easier for my own research—and then decided it should be available to other researchers too.

Open and inspectable

Research software should not be a black box.

PaperPull is being prepared for release as an open-source project. Researchers will be able to inspect how it works, verify its methods, suggest improvements, or run their own version.

GitHub repositoryComing soon
How access works

No subscription

PaperPull does not charge fees. Users only pay for their own AI through OpenRouter.

01

Start for free

We provide some free credits on OpenRouter so you can try the tool.

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Pay the provider directly

PaperPull does not add a markup to the model costs you incur.

Contact

Questions, feedback, and contributions are welcome.

tobiasgedwards99 [at] gmail [dot] com
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