Text containment check

Client

Substring check for log grep workflows.

About Text containment check

Test whether A contains B as substring (case sensitive toggle via lower). Processing runs in your browser—Toolcore does not need your paste for the core operation on this page.

Deterministic string metrics only; rephrased text may score differently than human judgment.

How to use

Paste or type in the main field, then read the output below. Use Load example when available, or open the page with ?q= / ?qb= so tickets and agents share the same input.

Contains (case sensitive): "world" in "hello world"

Nearby workflows on Toolcore

  • Extract URLs — Pull http and https links from pasted text—copy the list locally; no link checker. Useful when a second similarity metric helps decide deduplication.
  • Find and replace — Find and replace literal text or regex matches in a paste—case options and replace-all, browser-only. Useful when a second similarity metric helps decide deduplication.
  • Jaccard similarity — Word-token Jaccard index between two texts—optional case folding, in your browser. Useful when a second similarity metric helps decide deduplication.
  • Remove duplicate characters — Drop repeated characters while keeping first-seen order—optional case folding—in your browser. Useful when a second similarity metric helps decide deduplication.

Common use cases

  • Score text similarity with text containment check when comparing drafts, log lines, or deduplication candidates.
  • Benchmark two strings with a deterministic metric you can cite in data-quality notes (unlike semantic AI similarity).
  • Substring check for log grep workflows.
  • When you need a second similarity metric on the same pair, open the related extract-urls page from More tools below.

Common mistakes to avoid

  • Expecting semantic paraphrase detection

    These metrics compare surface form—case, token order, and character overlap matter. Rephrased sentences may score low.

  • Comparing empty or whitespace-only input

    Trim inputs first. Empty strings often yield zero similarity or division edge cases.

  • Using different normalization on each side

    Apply the same Unicode normalization and line-ending cleanup before scoring both texts.

FAQ

Which similarity score should I trust?

Pick the metric that matches your task—token sort for reordered words, n-grams for typos, Sørensen–Dice for set overlap.

Is text uploaded for scoring?

No. Similarity runs locally on whatever you paste into the fields.

Can agents prefill this page?

Open the page directly—multi-field inputs are not URL-prefilled.

More tools

Related utilities you can open in another tab—mostly client-side.