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Analyze JavaScript source code instantly with useful code metrics, structure information and common code-pattern checks, without executing the code.
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The JavaScript Analyzer is a free, browser-based source-code analysis tool designed to help developers quickly understand the size, structure and composition of JavaScript code. It calculates practical metrics such as line counts, comments, characters, functions, variables, strings and numeric literals, then provides additional information about common language features.
This tool is useful when reviewing an existing script, checking a file before optimization or JavaScript obfuscation, comparing changes between versions, or getting a quick overview of unfamiliar JavaScript. It focuses on readable source-code information rather than executing the code.
After you run an analysis, the tool can report several categories of information from the JavaScript source you provide. The available results include:
If you want to test the analyzer before using your own code, select Load Sample. To remove the current input and start again, select Clear.
The statistics shown by this tool are intended as a quick source-code overview. For example, total lines represent the overall line count, while code lines and comment lines help separate source text from comments. Function, variable, string and numeric counts can help you estimate the composition of a script.
The detailed analysis provides another level of information by grouping supported patterns into structure and language features. This can make it easier to inspect an unfamiliar file before refactoring, optimizing or preparing it for another development task.
Before you obfuscate JavaScript code, it helps to know what you are protecting. Running your script through the analyzer first shows how large it is, how many functions and strings it contains, and how much of the file is comments. This is a practical first step in any workflow that uses a JavaScript obfuscator or a JS obfuscator.
When you are ready, use the free JavaScript obfuscator online on ObfuscatorJS to transform a copy of your code, and keep your original source in version control.
The analyzer is also helpful when you receive a script that has already been processed by a JavaScript code obfuscator. Because the tool only reads the text and never runs it, you can inspect the code's metrics without executing anything you do not trust.
Obfuscated code often looks different from normal source code. Typical signs include very few or no comment lines, many string literals, very long lines, and many functions with short or meaningless names. These signs are only hints, and a normally minified file can look similar, but they give you a quick sense of how heavily a script has been transformed by JavaScript obfuscation.
Heavily obfuscated code may produce unusual results, because the analyzer relies on the source patterns it supports. Treat the numbers as an overview rather than an exact description of what the script does.
You can analyze your script twice, once before and once after you use an obfuscator, and compare the results. Look at the character count to see how much the file size changed, at the comment count to confirm comments were removed, and at the string count to see how strings were moved or encoded. Stronger obfuscation settings usually produce a larger and slower file, so these numbers help you find a balance between protection and performance.
Many developers search for a way to encrypt JavaScript, but code that runs in a browser cannot be truly encrypted, because the browser has to read it in order to run it. Obfuscation is the practical alternative. It makes code much harder for people to understand, but it is a deterrent rather than a lock. If you want to protect JavaScript source code, obfuscate a copy of it, test the result carefully, and keep passwords, API secrets and security-critical logic on a trusted server.
A code analyzer and a linter serve different purposes. This analyzer is primarily intended to provide source metrics and identify the supported patterns listed on this page. A dedicated JavaScript linter can perform deeper syntax and style checks, apply configurable coding rules and report many issues that a simple metrics-based analyzer does not attempt to detect.
Therefore, the results from this tool should be treated as a quick analysis rather than a complete assessment of JavaScript correctness, security or performance.
An important distinction is that source-code analysis does not require executing the code. The analyzer examines the JavaScript text to calculate metrics and identify supported patterns. It is not intended to run functions, access your application's runtime state or reproduce the behavior of your program.
Your JavaScript code is analyzed directly in your browser. The tool does not require an account or server-side upload for the analysis described on this page. Because source code can contain private business logic, API-related code or other sensitive information, you should still review the code you paste into any online service before using it.
JavaScript is a large and evolving language, and simple source-pattern analysis cannot understand every possible program structure. Results may vary for unusual syntax, generated code, heavily compressed code, dynamically constructed source, or patterns that are outside the analyzer's supported checks.
The analyzer should therefore be used as a convenient source-code overview. It should not be considered a substitute for a complete parser, compiler, debugger, security audit or dedicated linting tool.
ObfuscatorJS brings together tools for the whole JavaScript workflow. Use the JavaScript obfuscator tool to make your code harder to read, explore the full collection of ObfuscatorJS developer tools for formatting, validation and encoding, and use this analyzer to understand your code before and after you change it. Whether you need a quick js obfuscator online, an obfuscator js online workflow, or simply a reliable way to inspect a script, you can find it in one place. Developers who know the open-source javascript-obfuscator package can also use this page to check the output of their own build pipeline.
Yes. The JavaScript Analyzer is free to use and does not require registration. Paste JavaScript source code into the analyzer and run the analysis directly in your browser.
No. The analysis is performed by JavaScript running in your browser. The tool does not require a server-side upload for the analysis described on this page.
No. The analyzer treats the input as source code and does not execute the JavaScript code you provide. It examines the text to calculate metrics and identify supported patterns.
No. The analyzer provides source-code metrics and common pattern checks. It is not a replacement for a full JavaScript parser, compiler, runtime debugger or dedicated linter.
The analyzer recognizes many common modern JavaScript patterns, including arrow functions, classes, async functions, imports and exports. The exact results depend on the source-code patterns supported by the analyzer.
Yes. You can paste code produced by a JavaScript obfuscator and review its metrics, such as characters, strings and function counts. Because the analyzer does not execute the code, it is a safer way to inspect a script than running it. Heavily obfuscated code may produce unusual results, since the analyzer relies on supported source patterns.
No. The analyzer only reads and measures your code. To make a script harder to read, use a JavaScript obfuscator such as the one on ObfuscatorJS, and keep your original source code.
Metrics help you understand what you are about to protect. You can check the size and structure of a script, spot unused or leftover code, and later compare the numbers with the obfuscated version to see how much the file changed.
Not definitively. Obfuscated code often shows signs such as very few comment lines, many strings and very long lines, but these are only hints. A normal minified file can look similar.
No. Analysis only reports information about your code. To protect JavaScript source code, obfuscate a copy of it, test the result, and keep passwords, API secrets and sensitive logic on a trusted server.