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Paste two versions of any text and instantly see every difference highlighted in colour. Character-level precision, live real-time comparison, side-by-side and unified views, ignore options, file upload, and a similarity score. All processing happens in your browser — your text never leaves your device.
Results may vary. Always verify critical data.
A text diff checker compares two versions of a text and highlights exactly what changed between them — which lines were added, which were deleted, and which characters within a line were modified. It is used for proofreading, code review, document revision tracking, and spotting unintended changes between any two versions of text.
Side-by-side view shows the original and changed text in two columns so you can read both simultaneously — best for longer texts on wider screens. Unified view interleaves both versions in a single column, showing removed lines in red and added lines in green. Unified view is closer to what git diff produces and is better for narrow screens or quick reviews.
When ignore whitespace is enabled, differences that consist only of spaces, tabs, or leading and trailing whitespace are not counted as changes. This is useful when comparing code that has been reformatted or indented differently, or documents where line spacing may have changed without any meaningful content difference.
The similarity percentage is based on the Levenshtein edit distance between the two texts — the minimum number of single-character edits needed to transform one text into the other. A score of 100% means the texts are identical. The score gives you a quick sense of how much has changed without reading the full diff.
Yes. All comparison, highlighting, and analysis happen entirely in your browser. Your text never leaves your device and is never sent to any server.
Disclaimer: QuickITTools.com and EnterPlanet LLC strive to make our tools as accurate as possible. All text comparison is performed locally in your browser; no data is transmitted to our servers. Results may vary — always verify critical data before use in production systems.