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How Text Diff Algorithms Find Additions, Deletions, and Changes

Diff algorithms look for shared subsequences between two texts, then mark the remaining parts as additions, deletions, or changes.

Published July 2, 2026 · 7 min read

A diff algorithm does not understand meaning. It finds which parts of two sequences are shared and which parts changed.

The Basic Idea

  1. Split text into lines, words, or characters.
  2. Find common parts that can be aligned.
  3. Mark gaps between common parts as additions or deletions.
  4. Adjacent deletions and additions can be displayed as modifications.
  5. Render the result as a highlighted view.

Line, Word, and Character Diff

GranularityBest forTrait
Line-levelLogs, configs, listsFast and easy to scan
Word-levelCopy, prose, sentencesShows changed words inside a line
Character-levelShort strings and identifiersPrecise but noisy for long text
StructuredJSON and object dataMore accurate by field path

Many diff implementations use longest common subsequence ideas or similar strategies: preserve shared content and explain changes with insertions and deletions.