Toolbox · Factual accuracy

Source & summary comparison

A summary can be fluent, faithful in tone and quietly wrong. This compares the model's summary against the transcript, PDF text or research notes it was given: what changed shows as a word-level diff, and every figure, quotation and link that appears nowhere in the source is listed on its own.

react-diff-viewer-continuedRuns in your browserNothing uploaded

Twenty-five instruments on one bench.

Live tool

Offline · nothing leaves this tab

Source document

AI summary

6 checkable claims · 4 not in the source

Source
Summary

Traced against the source

Figures 2/5Quotes 0/1Links 0/0
  • 1,200

    Figures · absent from the source

  • 38 percent

    Figures · absent from the source

  • 1.9

    Figures · absent from the source

  • the cleanest quarter the business has ever run,

    Quotes · absent from the source

Distortion is quieter than invention

A model asked to summarise rarely invents a whole paragraph. It rounds 18 percent to 20, drops the qualifier that made a sentence true, merges two findings into one claim, or attaches a quotation to the wrong speaker. Each of those is a small edit that survives a fluent read, because the summary reads better than the source it came from.

Two views catch it. The diff shows what moved between the two documents, sentence by sentence. The trace below it ignores phrasing entirely and asks one question of every figure, quotation and link: does this string appear anywhere in the source? What it cannot find, it lists.

What the trace catches, and what it misses

It catches invented numbers, rewritten quotations presented as verbatim, and links the source never contained — the failures that are cheapest to prove and most damaging to publish. It is deliberately mechanical, because a mechanical check cannot be talked out of a finding.

It misses everything subtler. A number can be present in the source and still be attached to the wrong year. A paragraph can quote correctly and draw the opposite conclusion. A summary can omit the sentence that made the finding conditional. Treat a clean trace as permission to read the diff closely, not as an accuracy certificate.

A workflow that survives review

Paste the source first, then the summary, and work the flags before reading for style. Each item you resolve is either a correction to the summary or a line in the record explaining why the phrasing is legitimate. Keep both documents next to the final text: the comparison is the evidence that the summary was checked against something.

Questions about this tool

Is either document uploaded?
No. Both texts stay in this tab and the comparison runs locally. Nothing is sent, stored or logged.
Does it tell me the summary is wrong?
No. It tells you which claims have no support in the source you pasted. Whether a claim is true is a judgement the tool leaves to you.
Can I paste text from a PDF?
Yes, paste the extracted text. Extraction loses layout and column order, so skim the pasted text before trusting a clean result.

Toolbox

Fix the prose here, then check what the prose cannot show.

The console runs structural, claim and formatting checks on the same draft, and a named reviewer takes on anything with consequences.