Back to Developer Tools

Online Text Diff Checker: Compare Text & Code Differences

Compare two text files, articles, legal contracts, or source code snippets side-by-side in real time. Accurately detect added, deleted, and modified lines with 100% client-side privacy.

  • Real-Time Detection: Line, word, and character-level diff granularity.
  • Dual Views: Side-by-Side (Split View) & Unified Git Patch mode.
  • Smart Normalization: Built-in CRLF/LF & multi-byte UTF-8 handling.
  • 100% Private: Pure client-side processing without server data transfer.
100% Client-Side Private
TL;DR: Paste original text on the left and modified text on the right. Choose between Side-by-Side and Unified Diff views. Everything executes locally in your browser for absolute data confidentiality.
0 lines | 0 words
0 lines | 0 words

Diff Analysis Summary

0 Added 0 Deleted 0 Modified Similarity: 100%

Paste text into both columns above, then click "Compare Differences".

How to Use the Online Text Diff Checker

Key Takeaways: The InfoKoding text comparison tool provides instantaneous line, word, and character diffs with dual Side-by-Side and Unified patch modes alongside mathematical similarity score calculation.

Follow these four simple steps to compare text or code differences:

1

Input Original Text

Paste the original version of your text or code in the left editor, or upload a local file directly.

2

Input Modified Text

Paste the modified version of your text or code into the right editor.

3

Configure Settings

Choose between Side-by-Side or Unified view, select diff granularity, and toggle ignore whitespace/case.

4

Analyze & Export

Review color-coded additions (green), deletions (red), and changes (amber), then copy or download the patch.

Comparing Microsoft Word (.docx) & PDF Documents (Non-Plain Text)

How to extract text from binary rich documents before performing accurate character diffs.

Microsoft Word Documents (.docx / .doc)

Word files contain compressed XML and styling tags. To cleanly compare revisions:

  1. Open document in Microsoft Word or Google Docs.
  2. Press Ctrl + A then Ctrl + C.
  3. Or save via File > Save As > Plain Text (*.txt) and upload to the tool.
Adobe PDF Documents (.pdf)

PDFs lock visual coordinate layouts. To compare clauses and text changes:

  1. Open the file in your PDF viewer (Adobe Acrobat, Chrome, Edge).
  2. Highlight the text paragraphs, copy, and paste into the editor.
  3. On Linux/macOS, use the terminal command: pdftotext file.pdf output.txt.

File Format Compatibility & Extraction Method Table

Document CategoryFile ExtensionsDirect Upload StatusExtraction MethodDiff Accuracy
Source Code & Scripts.js, .ts, .php, .py, .html, .css, .sql, .goSupportedDirect file upload or Copy-Paste100% Native
Plain Text & Prose.txt, .md, .log, .csv, .envSupportedDirect file upload or Copy-Paste100% Native
Configuration Data.json, .yaml, .yml, .xml, .iniSupportedDirect file upload or Copy-Paste100% Native
Microsoft Word.docx, .docExtract FirstSelect All (Ctrl+A) > Copy > Paste textVery High (Clean)
Adobe PDF.pdfExtract FirstCopy text from reader or pdftotextVery High

How the Diff Algorithm Works

This tool implements the Longest Common Subsequence (LCS) computation and Myers Diff optimization algorithm (the same foundational algorithm powering git diff).

Mathematically, it computes the Shortest Edit Script required to transform Document A into Document B through three basic atomic operations:

  • + INSERTMarks added words or lines present in the modified document.
  • - DELETEMarks deleted words or lines removed from the original document.
  • = EQUALIdentical unchanged content preserved for comparative visual context.

Side-by-Side vs Unified Diff Mode Comparison

FeatureSide-by-Side ViewUnified Diff View
Layout StructureDual adjacent columns (Left & Right)Single sequential vertical stream
Best Use CaseVisual prose inspection, contracts, docsCode pull requests, Git commit patches
Mobile ExperienceRequires wide horizontal scrollingHighly optimized for narrow screens
Standard ExportHTML visual viewStandard .diff / .patch file

Special Text Handling: Line Endings, Encoding & Regex Symbols

Line Endings (CRLF vs LF)

Windows uses \r\n while Linux/macOS uses \n. We automatically normalize line endings to prevent cross-OS false positive diffs.

Encoding (UTF-8 vs ANSI)

Full multi-byte Unicode UTF-8 support ensures international accents, emojis, and non-Latin characters render without corruption or mojibake.

Regex & HTML Sanitization

Regex patterns (\d+, (?<=...)) and HTML characters (<, >) are safely escaped to protect against XSS without altering syntax.

Primary Use Cases for Text Diff Checking

Code Review & Debugging

Inspect script changes in JavaScript, Python, PHP, Go, or SQL before pushing commits to Git.

Legal Contracts & Agreements

Spot modified clauses or sneaky wording changes across legal contract drafts effortlessly.

Server Configs & .env

Compare environment variables (.env), Nginx configs, and Docker Compose files across environments.

Frequently Asked Questions (FAQ)

Is my text data secure and private?

Yes, 100% private and secure. All text comparison algorithms run entirely within your web browser using client-side JavaScript. Your text is never transmitted over the internet or logged on any server.

How do I compare Microsoft Word (.docx) or PDF files using this tool?

To compare rich document formats like Word (.docx) or PDF, copy the text content (Ctrl+A then Ctrl+C) from your reader or export the file as Plain Text (.txt), then paste it into the respective editors for clean, noise-free text comparison.

What file formats are supported for direct file upload?

Our tool natively supports all plain-text and source code files, including .txt, .js, .ts, .php, .py, .html, .css, .json, .md, .sql, .env, .yaml, .yml, .c, .cpp, .java, and .go.

How does the tool handle Windows vs Linux line endings (CRLF vs LF)?

The tool automatically normalizes all line breaks (CRLF \r\n, LF \n, and CR \r) into unified line breaks before running the diff algorithm, eliminating false positive differences caused by operating system mismatches.

How is the similarity percentage calculated?

The similarity percentage is calculated using the ratio of Longest Common Subsequence (LCS) characters to the total characters in both documents. 100% denotes identical texts, while 0% indicates zero overlapping characters.