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Detect duplicate code blocks across your codebase, identify copy-paste programming patterns, find similar code segments with configurable similarity thresholds, and provide refactoring suggestions to eliminate redundancy and improve code maintainability.
Note: AI can make mistakes, so please double-check it.
Paste code in both blocks to compare and identify duplicated patterns
Common questions about this tool
Paste your code or upload files into the duplication finder. The tool analyzes your codebase, identifies similar or identical code blocks, and highlights duplicated sections with line numbers and similarity percentages to help you identify refactoring opportunities.
The finder identifies code blocks that are identical or very similar (configurable threshold). It detects exact copies, near-duplicates with minor variations, and similar patterns that could be refactored into reusable functions or components.
Yes, you can configure similarity thresholds to control how similar code needs to be before it's flagged as duplicate. Lower thresholds catch more duplicates, while higher thresholds only flag nearly identical code blocks.
Identifying duplicate code helps you refactor common patterns into reusable functions, reduces maintenance burden (fix bugs once instead of multiple times), improves code consistency, and makes your codebase more maintainable and easier to understand.
Yes, the duplication finder supports multiple programming languages. It analyzes code structure and patterns regardless of language, making it useful for detecting duplicate logic across different file types and programming paradigms.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 1 research source:
Learn what this tool does, when to use it, and how it fits into your workflow.
A code duplication finder compares two code snippets side by side. It shows which lines are the same, which are only in the first block, and which are only in the second. It also computes a similarity percentage so you can see how much the two blocks overlap.
Copy-pasted or similar code in different places is hard to maintain. You fix a bug in one place and forget the other. You change logic in one block and leave the other outdated. Finding and comparing duplicates by hand is slow and error-prone.
This tool takes two blocks you paste in, compares them line by line, and shows a diff with a similarity score. You can turn on ignore whitespace so spaces and blank lines do not affect the result. You can optionally ask for a refactoring suggestion that proposes one unified version and lists benefits.
The tool is for developers and anyone who edits code. You need to paste two snippets and read the diff; no extra setup is required.
Duplicate code means two or more places that do the same or very similar things. Sometimes the code is copied and then changed a little. Comparing two blocks manually is tedious: you scan line by line and mentally track what matches and what does not. A related operation involves calculating code complexity as part of a similar workflow.
A line-based diff shows each line as unchanged, removed from the first block, or added in the second block. Removed lines exist only in the first snippet. Added lines exist only in the second. Unchanged lines appear in both (after normalization if you ignore whitespace).
Similarity is a number from 0 to 100. Here it is based on lines: the tool builds the set of normalized lines from each block, counts how many lines appear in both sets (intersection), and divides by the total number of unique lines in either block (union). That fraction, times 100, is the similarity percentage. So 100% means every non-empty line in one block appears in the other; 0% means no line is shared.
Ignore whitespace means before comparing, each line is trimmed and multiple spaces are collapsed to one. So two lines that differ only by spaces or indentation are treated as the same. Turning this off means the comparison is exact character-by-character per line.
Refactoring means taking two similar blocks and turning them into one reusable piece (e.g. a function) so you fix bugs and change behavior in one place. The tool can ask for an AI-generated refactoring suggestion: a summary, a single refactored code block, and a list of benefits. That suggestion is optional and does not change your pasted code; you can copy the refactored code if you want to use it. For adjacent tasks, linting code addresses a complementary step.
Comparing two functions: paste one function in Block A and a similar one in Block B. See the diff and similarity to decide if they are duplicates and whether to refactor into one.
Checking copy-paste edits: after copying a block and changing it, paste original and modified block in A and B. Use the diff to review every change and the similarity score to see how much stayed the same.
Before refactoring: paste two similar snippets, run the comparison, then use “Get Analysis” to get a suggested unified version and benefits. Use the summary and refactored code as a starting point; then edit in your own editor.
Code review: paste two versions of the same file or two blocks from different files. Use ignore whitespace to focus on real logic changes and the diff to see exactly what was added or removed. When working with related formats, validating code syntax can be a useful part of the process.
Learning: paste your code and a reference or solution. Compare line by line and read the similarity score to see how close your version is to the reference.
The tool does not execute your code. It only compares two text inputs line by line.
Normalization: when “Ignore Whitespace” is on, each line is trimmed (leading and trailing spaces removed) and every run of whitespace inside the line is replaced by a single space. When it is off, lines are not changed before comparison.
Line sets: from Block A, the tool builds a set of normalized lines (empty lines are dropped). From Block B, it builds another set the same way. “Intersection” is the number of lines that appear in both sets. “Union” is the number of lines that appear in at least one set (no duplicates counted). In some workflows, beautifying source code is a relevant follow-up operation.
Similarity: similarity = (intersection / union) × 100, rounded to a whole number. If both blocks have no non-empty lines, union is 0 and similarity is set to 100. So 100% means all non-empty lines are shared; 0% means no line is shared.
Diff algorithm: the tool walks through both lists of lines in order. When the current line of A (normalized) equals the current line of B (normalized), both are emitted as unchanged. When they differ, the algorithm looks ahead a short distance to see if a later line in A matches the current line in B (then the skipped A lines are emitted as removed) or the current line in A matches a later line in B (then the skipped B lines are emitted as added). If no match is found in that window, one line from A is emitted as removed and/or one line from B as added. This produces a line-by-line diff with added/removed/unchanged. Output is capped (e.g. at 2000 lines); if the diff is longer, a truncation message is shown.
Size and line limits: each block is limited in characters (e.g. 500KB). The diff engine also limits how many lines each block can have (e.g. 10,000). If either block is over the character limit, the UI shows an error. If either is over the line limit, the diff result shows an error message instead of a full diff. The number of diff lines shown is capped (e.g. 2000) to avoid slowing the page.
| Limit | Value | Reason |
|---|---|---|
| Max size per block | 500KB | Keep comparison responsive |
| Max lines per block (diff) | 10,000 | Avoid long processing |
| Max diff lines shown | 2,000 | Keep UI usable |
| Similarity range | Label (example) | Meaning |
|---|---|---|
| Above 80% | High duplication | Most lines are shared; strong candidate for refactoring |
| 50%–80% | Moderate similarity | Some overlap; may still be worth unifying |
| Below 50% | Low similarity | Few lines shared; blocks are more different than alike |
| Diff line type | Meaning |
|---|---|
| Unchanged | Same line (after normalization) in both blocks |
| Removed | Line only in Block A; not in Block B |
| Added | Line only in Block B; not in Block A |
Use “Ignore Whitespace” when you care about logic and not formatting. Turn it off when you want to see every space and indentation change. For related processing needs, finding unused CSS handles a complementary task.
Paste complete snippets (e.g. whole functions or blocks) so the diff and similarity make sense. Pasting half a function in one block and the full function in the other can make the diff harder to read.
The similarity score is based only on unique lines. Two blocks with many repeated lines (e.g. the same line 10 times) will have high similarity even if the rest of the code is different. Use the diff viewer to see the full picture.
The tool compares exactly two blocks that you paste. It does not scan a whole project or multiple files. To compare code from two files, copy each section into Block A and Block B.
AI refactoring is optional and may fail or be slow depending on the service. The refactored code is a suggestion; review and test it before using it in your project. The tool does not apply the suggestion automatically.
If the diff is truncated (e.g. “showing first 2000 lines”), the similarity score is still based on the full blocks up to the line limit. Only the displayed diff is cut off; shorten the input if you need to see the full diff.
Keep each block under the size and line limits. If you hit “Input exceeds maximum size” or “Too many lines to process”, paste a shorter portion or split the comparison into smaller chunks.
Use clear before pasting a new pair of snippets so old results do not mix with the new comparison.
The tool does not detect duplicates automatically across a codebase. You choose the two blocks to compare. For project-wide duplicate detection, use a different tool or process.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Detect duplicate code blocks across your codebase, identify copy-paste programming patterns, find similar code segments with configurable similarity thresholds, and provide refactoring suggestions to eliminate redundancy and improve code maintainability.