Verify whether a claim is actually supported
Check whether a statement truly matches the wording, endpoint, outcome, or population reported in the cited reference.
For pharma & medcomms
Check whether a claim is actually supported by its cited reference. RefCheckr helps medical writers, medcomms teams, medical affairs professionals, and pharma teams review source material faster by surfacing supporting, conflicting, or missing evidence from uploaded PDFs.
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What it helps you do
Check whether a statement truly matches the wording, endpoint, outcome, or population reported in the cited reference.
Reduce time spent manually searching references for the exact passage that supports, weakens, or complicates a claim.
Catch overstated, incomplete, or weakly supported wording before review cycles become slower and more expensive.
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How it works
RefCheckr is built for evidence-heavy workflows where accuracy matters. Instead of manually digging through references line by line, you can review how closely a claim aligns with the uploaded source and decide whether the wording needs to change.
Add one or more PDFs you want to check against.
Enter a single statement or multiple claims you want to verify.
See whether the source supports the claim, conflicts with it, or leaves important gaps.
Adjust the claim if needed so it better reflects the underlying evidence.
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Who it's for
RefCheckr is designed for teams working with scientific and medical content where wording needs to stay closely aligned with the source.
Useful for checking whether slide, manuscript, and publication claims are genuinely supported by the cited reference.
Helps teams review source alignment more quickly across decks, leave-pieces, and content drafts.
Supports evidence-led communication by making it easier to check whether wording matches available data.
Helpful when reviewing whether summary statements accurately reflect endpoints, populations, and reported outcomes.
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Example use case
A claim can sound accurate at first glance but still overstate what the reference actually shows. Good reference verification is about checking whether the wording truly aligns with the cited evidence.
"Drug X reduced mortality by 30%."
A paper may report relative risk reduction rather than absolute reduction. It may describe a subgroup rather than the full study population. Or it may report a different endpoint entirely.
Scientific claim checking is not just about finding a similar phrase in a paper. It is about checking whether the wording of the claim genuinely matches the evidence being cited.
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Why use AI here
Scientific and medical writing still depends on human expertise. The value of an AI reference checker is not that it makes the final decision for you — it helps reduce repetitive checking, surfaces relevant evidence faster, and supports a more efficient review process.
Spend less time jumping between claims and PDFs to locate the right supporting passage.
Use a more consistent process for checking wording against evidence across multiple projects.
Let the tool help with retrieval and triage, while people make the final judgement.
Try RefCheckr to review claims against uploaded references and surface supporting, conflicting, or missing evidence faster.