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Research paper data extraction
Use DocExtract to turn public research PDFs, open-access papers, preprints, and published reports into structured tables you can verify against the source page, quote, and highlight.
Use public, open-access, or non-confidential research documents only. Do not upload patient records, private medical files, identifiable personal data, or regulated health information.
Use cases
Literature review notes
Public research-paper extraction
Evidence tables
Study comparison spreadsheets
Open-access paper review
Example fields
These are typical fields people define for this kind of document. Define your own in plain language, approve the instruction pack, and verify each value against its source page.
Workflow
Keep setup, approval, and evidence review inside one product instead of spreading the workflow across separate tools.
Start with one PDF or a clean batch for the same job.
Set columns, hints, and the output mode in plain language.
Review and edit the generated rules before the run starts.
Jump from a result cell to the supporting PDF evidence.
Comparison
PDF chat is useful for one-off questions, but DocExtract is designed for repeatable field extraction.
DocExtract helps define columns before the run.
DocExtract produces structured rows instead of only prose answers.
DocExtract keeps source evidence attached to extracted values.
FAQ
You can use it for public or non-confidential literature review workflows where source-linked extraction is useful. Do not use it for regulated or confidential data.
Yes, define those as fields and review the source evidence after extraction.
No. It is focused on extracting structured data from PDFs into reviewable tables.
Public, non-confidential PDFs only
Use public, open-access, or non-confidential research documents only. Do not upload patient records, private medical files, identifiable personal data, or regulated health information.
See our upload policy for details.
Related
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