String matching tools

String Algorithm Visualizers

Step through pattern matching, prefix arrays, rolling hashes, edit operations, and subsequence dynamic programming without leaving the browser.

Choose a string algorithm by matching task

Use pattern-search tools for exact substring matches and dynamic-programming tools when the question is about edits or relative character order.

Find an exact pattern

Use KMP to reuse prefix information, Rabin Karp to compare rolling hashes, or the Z algorithm to reuse prefix-match ranges.

Measure how strings differ

Use edit distance when insertions, deletions, and substitutions determine the cost of transforming one string into another.

Find shared character order

Use longest common subsequence when matching characters must stay in order but do not need to be adjacent.

Compare or test text directly

Use text compare, regex tester, and word counter for practical text inspection without running an algorithm trace.

Pattern matching

Compare prefix-based matching, rolling hashes, possible collisions, and Z-box expansion for substring search.

String dynamic programming

Inspect edit operations, table transitions, backtracking, and subsequence choices across two strings.

Adjacent developer text tools

Use browser text utilities next to the visualizers when you need to compare content or test regular expressions.

String Algorithm Visualizers FAQ

Which string matching visualizers are included?

The string hub links to KMP, Rabin Karp, and Z Algorithm visualizers for comparing different substring search approaches.

Which tool shows edit distance?

Use the Edit Distance Visualizer to inspect insert, delete, replace, and match decisions in a dynamic programming table.

Are these string tools useful for interviews?

Yes. They are designed for small practice inputs and common interview patterns such as pattern matching, subsequences, and edit distance.