# Diff Formatter

Format and display text differences in various styles (unified, context, side-by-side)

> Canonical page: https://elysiatools.com/en/tools/diff-formatter

- **Category:** Converter

- **Keywords:** diff, compare, format, unified, context, side by side, difference, changes

## Overview

The Diff Formatter is a precise utility designed to compare two blocks of text and highlight their differences using standard industry formats like unified, context, or side-by-side views.

## Inputs

- **Original Text** (textarea): Enter the original text...
- **Modified Text** (textarea): Enter the modified text...
- **Format Style** (select)
- **Show Line Numbers** (checkbox)
- **Context Lines** (number): Number of context lines (0-10)

## When to use

- Comparing two versions of source code to identify specific logic changes.
- Reviewing drafts of documents or articles to track edits between versions.
- Debugging configuration files by pinpointing discrepancies between current and backup states.

## How it works

- Paste your original text into the first input field and the modified text into the second.
- Select your preferred output style, such as unified or side-by-side, from the format menu.
- Adjust the context lines and line number settings to customize the readability of the output.
- Generate the diff to instantly visualize additions, deletions, and modifications.

## Use cases

- Code review and version control analysis.
- Content editing and proofreading workflows.
- Configuration file synchronization and audit.

## Frequently asked questions

### What is the difference between unified and side-by-side views?

Unified view displays changes in a single column with additions and deletions marked by symbols, while side-by-side shows both versions next to each other for easier visual comparison.

### Can I adjust how much surrounding text is shown?

Yes, you can use the 'Context Lines' setting to define how many lines of unchanged text appear around the modifications.

### Does this tool support file uploads?

No, this tool is designed for direct text input. Please copy and paste your content into the provided text areas.

### Are line numbers included in the output?

Yes, you can toggle the 'Show Line Numbers' checkbox to include or exclude line numbering in your diff result.

### Is there a limit to the amount of text I can compare?

The tool is optimized for standard text blocks and code snippets; extremely large documents may impact performance.

## Related tools

- [CSV Splitter](https://elysiatools.com/en/tools/csv-splitter): Split CSV content by specified number of rows per file. Perfect for processing large datasets, dividing data for analysis, batch processing, and managing file size limits. Features: - Split CSV by row count - Support multiple output formats - Preserve header row in each split - Flexible output format options - Support for large datasets - Fast and efficient processing Common Use Cases: - Split large CSV files for processing - Divide data for parallel processing - Create manageable data chunks - Export data in different formats - Prepare data for batch operations - Manage file size limitations
- [BOM Character Remover](https://elysiatools.com/en/tools/data-bom-remover): Remove BOM (Byte Order Mark) characters from text and file content. Perfect for cleaning up text files that have encoding issues, fixing CSV imports, and preparing data for processing. Features: - Detect and remove UTF-8 BOM (EF BB BF) - Detect and remove UTF-16 BOM (FE FF or FF FE) - Detect and remove UTF-32 BOM (00 00 FE FF or FF FE 00 00) - Support multiple input formats - Visual BOM character display - Detailed detection report - Support for batch text processing Common Use Cases: - Fix CSV file import errors - Clean up text file encoding issues - Prepare data for JSON parsing - Fix XML parsing problems - Resolve API data encoding conflicts - Standardize text data format
- [Data Noise Injection](https://elysiatools.com/en/tools/data-noise-injection): Inject various types of noise into text data for testing purposes. Perfect for stress testing data processing systems, testing data quality algorithms, and creating realistic test datasets. Features: - Character-level noise injection - Word-level noise injection - Numeric data noise - Formatting noise - Whitespace noise - Special character noise - Configurable intensity levels - Realistic noise patterns Common Use Cases: - Test data validation systems - Stress test parsing algorithms - Evaluate error handling - Test data cleaning algorithms - Create realistic messy data - Benchmark data processing performance
- [Markdown to Plain Text](https://elysiatools.com/en/tools/markdown-to-plain-text): Convert Markdown formatted text to plain text by removing all Markdown syntax and formatting
- [Newline Normalizer](https://elysiatools.com/en/tools/newline-normalizer): Normalize and unify newline characters in text to consistent line ending format
- [Number Format Cleaner](https://elysiatools.com/en/tools/number-format-cleaner): Normalize and clean various number formats in text for consistency
- [Punctuation Normalizer](https://elysiatools.com/en/tools/punctuation-normalizer): Normalize and standardize punctuation marks in text, convert between Chinese and English punctuation
- [Text Compressor](https://elysiatools.com/en/tools/text-compressor): Compress text by removing extra spaces, newlines, and unnecessary whitespace while preserving content structure

## Samples

- [Android Image Processing Java Samples](https://elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion
- [Android Image Processing Kotlin Samples](https://elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion
- [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
- [Web Image Processing Rust Samples](https://elysiatools.com/en/samples/web-image-processing-rust): Web Rust image processing examples including image read/save, scaling, and format conversion

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