FREE A/B TEXT COMPARISON · EN / UKR / RU

Compare two texts word by word

See what changed between version A and B: word count, vocabulary, normalized word frequency, bigrams, and Zipf diagnostics. Search the differences or export the complete result.

Both pasted texts are analyzed in your browser and are not stored
A

Original text

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B

Updated text

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NORMALIZED COMPARISON

Compare texts of different lengths without relying on raw counts alone

A longer version will usually contain more occurrences of almost every word. This tool therefore reports both raw count changes and each term's share of the analyzed words. The share difference is shown in percentage points, so the direction remains comparable even when A and B have different word counts.

Term shareterm count ÷ analyzed words
Share change(share in B − share in A) × 100 pp

The same language and stop-word setting is applied to both inputs. Bigrams use the number of available two-word positions as their denominator.

REVISION WORKFLOW

Use A/B frequency changes to inspect a revision

Paste the original in A and the revision in B, then review the largest normalized changes first. Search for a specific word or switch to bigrams when phrase order matters. The export contains the complete comparison, including terms that appear in only one version.

Draft vs revision

Find vocabulary that was added, removed, or repeated more heavily after editing.

Page vs competitor

Compare public pages cautiously and remember that menus or templates can affect extracted text.

Local pasted-text mode

When both inputs are pasted, the complete calculation stays in your browser.

URL comparison API

If either source is a URL, the stateless public API fetches and compares both inputs without retaining them.

LIMITATIONS

Frequency change is not semantic similarity or content quality

The comparison shows how surface vocabulary changed. It does not determine whether two passages mean the same thing, whether a revision is factually correct, or whether one version will perform better in search. Treat increases and decreases as diagnostic directions, not optimization recommendations.

No automatic winner

The tool deliberately avoids a “better version” score. Interpret the changes alongside intent, readability, factual accuracy, and the purpose of the page.