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Obfuscate JavaScript, TypeScript, and other code to make it harder to read and reverse-engineer. Rename variables and functions, minify code, add dead code, and protect intellectual property while maintaining functionality.
Note: AI can make mistakes, so please double-check it.
Learn what this tool does, when to use it, and how it fits into your workflow.
This code obfuscator takes readable JavaScript or TypeScript code and transforms it into a much harder to read version while keeping the same behavior. It uses a client side obfuscation library to change identifiers, alter structure, and add protection tricks. The goal is to slow down people who try to copy, debug, or reverse engineer your logic from the browser.
The problem it solves is simple. Source code sent to the browser is plain text. Anyone can open the developer tools, read the functions, and copy business logic. Manual tricks such as renaming a few variables are not enough. You need a repeatable way to apply advanced transformations like control flow flattening, string array usage, and dead code injection. This tool wraps those features in a safe, guided interface.
This tool is mainly for technical users and professionals. Frontend developers, library authors, and product teams can use it to protect critical parts of their client side code. Security minded users can combine it with other controls such as code splitting and server side logic. While a beginner can learn the basics of obfuscation here, the main audience is people who already write and ship JavaScript or TypeScript code.
Code obfuscation is the process of transforming source code into a form that is difficult for humans to understand while keeping its original behavior. It is widely used when source code is shipped to users, such as in web apps, browser extensions, or desktop clients built on web technologies. The goal is not perfect security, but to raise the cost of reverse engineering.
In JavaScript, obfuscation often includes renaming variables and functions to short, meaningless names, hiding strings in arrays, flattening control flow, and injecting extra code paths that never actually run. These changes confuse both casual readers and many static analysis tools. They also make it much harder to identify which parts of the code base implement key business rules.
Without a tool, doing this by hand is extremely hard. You would need to rename every identifier, update all references, and ensure you do not break scope rules. You would have to invent confusing logic and dead branches that still type check and run. One mistake can break the program completely. Manual obfuscation does not scale to real projects.
This tool loads a dedicated obfuscation library into the browser. The library receives your code and an options object. Based on the options, it rewrites your code into a different program that behaves the same but has a much less obvious structure. The app also measures how the size changes and can ask an AI assistant to review the before and after versions.
A frontend team might paste their login and session management code into the tool. They choose MEDIUM or STRONG obfuscation to make it harder for attackers to see how tokens are generated and stored. They then copy the obfuscated version into a separate build step or into a script tag in their app shell.
A library author could take the part of their client side package that implements custom algorithms and run it through LIGHT obfuscation. This level keeps size growth modest while still hiding function and variable names. The rest of the library might remain unobfuscated for easier debugging.
A security engineer can evaluate how well obfuscation hides sensitive patterns. They can run sample code that includes obvious security smells, obfuscate it at different levels, and then inspect both the output and the AI report. This helps them judge whether the current settings are strong enough for their risk profile.
A teacher or trainer can use the built in sample code and obfuscation levels as part of a workshop on client side security. Students can see original and obfuscated versions side by side, learn which features are applied, and read the AI recommendations.
Developers working on browser extensions can use the tool to obfuscate parts of their content scripts before packaging. They then download the obfuscated file and include it in the extension bundle while leaving configuration files and manifest readable.
At the core, the tool sends your code string and an options object to the obfuscation library. Before that, it enforces several checks. It verifies that the input is a non empty string and trims it. It enforces a maximum input length of about 2MB characters, and if this limit is exceeded it throws a size error instead of trying to process the code.
For light obfuscation, the options enable compact output, string array features, and some simplification while disabling heavy features like control flow flattening and dead code injection. For medium obfuscation, control flow flattening is enabled with a threshold of 0.5, and dead code injection with a threshold of 0.4, plus the string array remains active. For strong obfuscation, the thresholds are set to 1, debug protection and its interval are enabled, console output is disabled, string array encoding uses base64, the threshold is set to 1, Unicode escape sequences are enabled, and simplification is turned off.
The obfuscator returns an object with a method getObfuscatedCode. The tool calls this method to get the final string. It guards against invalid responses and missing output and throws a specific error if something is wrong. It then checks the length of the obfuscated code against a maximum output limit of about 10MB. This protects the browser from extremely large results.
To compute size statistics, the tool uses Blob objects to measure bytes rather than relying on string length alone. It builds two blobs: one from the original code and one from the obfuscated code. It reads their size properties, then calculates the relative change as ((newSize - originalSize) / originalSize) * 100. This value is formatted to one decimal place and prefixed with a plus sign if positive.
When you request an AI security audit, the tool first checks that both the original and obfuscated code are non empty and under 50KB in length. It then calls a backend helper that wraps the AI service. The backend returns a structured report with a summary, a list of protections, and a list of recommendations. The tool validates this structure before displaying it.
| Level | Control Flow Flattening | Dead Code Injection | String Array Features | Extra Protections |
|---|---|---|---|---|
| LIGHT | No | No | Enabled, rotate, 0.75 threshold | Compact output, basic simplify |
| MEDIUM | Yes, 0.5 threshold | Yes, 0.4 threshold | Enabled, rotate, 0.8 threshold | Compact output, simplify |
| STRONG | Yes, full (1.0) | Yes, full (1.0) | Enabled, rotate, base64, 1.0 threshold | Debug protection, console disabled, unicode escape, no simplify |
Remember that obfuscation is a layer of defense, not a perfect shield. Determined attackers with time and tools can still analyze obfuscated code. Always keep truly sensitive logic, secrets, and keys on the server side where users cannot access them directly.
Choose LIGHT or MEDIUM for large applications where bundle size and performance are important. These levels still rename identifiers and confuse structure without adding as much dead code or heavy control flow tricks. Use STRONG only on focused sections of code that justify higher overhead.
Always test obfuscated code in a safe environment before pushing it to production. Because obfuscation changes structure deeply, you should run your normal test suite and manual checks to make sure behavior did not change. Pay special attention to timing sensitive code and integration with third party scripts.
Use the built in sample code to understand how different levels behave before obfuscating your own project. This lets you see how loops, async functions, DOM event handlers, and utility functions look when transformed.
Watch the size statistics after each run. If you see a very large positive percentage change, consider lowering the level or excluding some code from obfuscation. Very large obfuscated bundles can slow down downloads and parsing.
Keep input size under the limits. The tool refuses to process files larger than about 2MB and will not request AI analysis for code larger than 50KB. If your project is bigger, consider obfuscating only specific modules or splitting the code into smaller parts.
Use the AI security report as guidance. The summary and recommendations can point out missing protections or possible improvements. However, treat it as advice, not as a strict checklist. Always combine it with your own security review.
Avoid obfuscating code that is meant to be open for learning, such as tutorials or open source examples. Obfuscation makes code hard to understand for everyone, including legitimate users and collaborators.
Finally, document in your team when and how you use obfuscation. Track which parts of the code base are obfuscated and at which level, so that future maintainers know where to expect unreadable code in production bundles.
Summary: Obfuscate JavaScript, TypeScript, and other code to make it harder to read and reverse-engineer. Rename variables and functions, minify code, add dead code, and protect intellectual property while maintaining functionality.
Common questions about this tool
Code obfuscation makes your code harder to read and understand by renaming variables to meaningless names, minifying structure, and adding complexity. While it doesn't provide absolute security, it deters casual inspection and makes reverse engineering significantly more difficult.
The obfuscator supports JavaScript, TypeScript, and other web-based languages. It renames variables and functions, minifies code structure, and adds complexity while maintaining the original functionality of your code.
Obfuscation typically has minimal impact on performance. The code executes the same way, just with renamed identifiers. However, extreme obfuscation with added dead code may slightly increase file size and parsing time.
While obfuscation makes code harder to understand, determined attackers with tools can still analyze obfuscated code. Obfuscation is a deterrent, not absolute protection. For sensitive code, consider server-side processing or additional security measures.
Obfuscate code that contains proprietary logic, algorithms, or sensitive business rules that you want to protect. For open-source projects or code you want others to learn from, obfuscation is typically not recommended.
Stay tuned for helpful articles, tutorials, and guides about this tool. We regularly publish content covering best practices, tips, and advanced techniques to help you get the most out of our tools.