- Select the programming language from the dropdown menu.
- Paste or type the original code in the left editor panel.
- Paste or type the modified code in the right editor panel.
- Click 'Compare' to see the differences highlighted below.
- Toggle between 'Side by Side' and 'Unified' view modes.
- Use 'Export HTML' to save the diff result as an HTML file.
What programming languages are supported?
This tool supports 20+ programming languages including JavaScript, TypeScript, Python, Java, Go, Rust, C++, C#, PHP, Ruby, Swift, Kotlin, SQL, HTML, CSS, JSON, YAML, XML, Markdown, and Shell/Bash.
What's the difference between Side by Side and Unified view?
Side by Side view shows the original and modified code in two columns, making it easy to compare line by line. Unified view shows all changes in a single column with additions and deletions marked inline, similar to git diff output.
Is my code secure when using this tool?
Absolutely! All code comparison is performed entirely in your browser using JavaScript. Your code is never sent to any server, ensuring complete privacy and security.
Can I export the diff result?
Yes! You can export the diff result as an HTML file that includes the syntax highlighting and diff styling. This is useful for sharing or documentation purposes.
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Diff
Diff is a comparison technique that identifies and displays the differences between two sets of data, typically text files or code, showing what has been added, removed, or modified.
AI Code Review
AI Code Review is an automated code review technique that integrates artificial intelligence (specifically Large Language Models like GPT-4 or Claude 3.5 Sonnet) into the Software Development Life Cycle (SDLC). When a developer submits code changes (such as a GitHub Pull Request or GitLab Merge Request), an AI Agent acts as a virtual senior engineer. It automatically reads the Diff, contextualizes the project, coding guidelines, and best practices, and quickly points out logical flaws, security vulnerabilities, performance bottlenecks, and stylistic issues. It posts comments directly on the specific lines of code and often generates fix snippets.
Barcode
Barcode is a machine-readable representation of data using patterns of parallel lines (1D) or geometric patterns (2D) that can be quickly scanned to retrieve encoded information.
Diffusion Model
Diffusion Model is a class of generative deep learning models that learn to generate data by gradually denoising a normally distributed variable, reversing a forward diffusion process that progressively adds Gaussian noise to training data until it becomes pure noise.
QR Code
QR Code (Quick Response Code) is a two-dimensional matrix barcode that can store various types of data including URLs, text, contact information, and more. It was invented in 1994 by Denso Wave for tracking automotive parts and has since become ubiquitous for mobile scanning applications.