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Tech Stack Detector Online — Detect Website Technologies Instantly

Tech Stack Detector

Detect frameworks, libraries, and technologies used by any website.

Free online tech stack detector and website technology analyzer. Enter any URL or paste HTML to instantly identify frameworks (React, Next.js, Vue, Angular), CMS platforms (WordPress, Drupal), analytics tools (Google Analytics, Plausible), hosting providers, and 80+ other technologies. URL analysis runs server-side; HTML analysis runs entirely in your browser.

Keywords: tech stack detector, website technology checker, what technology does a website use, detect website framework, wappalyzer alternative, builtwith alternative, website analyzer, frontend framework detector, cms detector, website technology stack, detect react angular vue, web technology scanner

Tags: tech-stack, detector, analyzer, frameworks, libraries

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How to Tech Stack Detector Online

  1. Paste the URL of the website you want to analyze into the search bar.

  2. Alternatively, paste the raw HTML source code of a page to detect technologies without a live URL.

  3. Click "Detect Technology" or press ⌘↵ to start the deep-scan analysis.

  4. Review the organized results, which are categorized by CMS, Frameworks, Analytics, Security, and more.

  5. Hover over any detected technology to see more details or click to find related developer tools.

  6. Use the "Clear" button to reset the input and analyze another website or snippet.

Tech Stack Detector Features

  • Comprehensive Signature Database: Identifies 1,000+ software products including CMS, e-commerce platforms, web frameworks, and server tools.

  • Multi-Vector Detection: Analyzes HTML meta tags, script paths, global JavaScript variables, and HTTP response headers for maximum accuracy.

  • CMS & E-commerce Identification: Instantly detects WordPress, Shopify, Magento, Webflow, and hundreds of other platforms.

  • Frontend Framework Analysis: Pins down the exact frontend libraries in use, such as React, Vue.js, Angular, Svelte, and their meta-frameworks like Next.js or Nuxt.

  • Analytics & Marketing Tracker: Uncovers tracking scripts for Google Analytics, Facebook Pixel, Hotjar, Hubspot, and privacy-focused alternatives.

  • Version Detection: Where possible, identifies the specific version of a library to help you spot outdated or vulnerable software.

  • Privacy-First Analysis: HTML analysis runs entirely in your browser; URL-based detection does not store or share your search history.

  • Developer-Centric Categorization: Results are logically grouped (e.g., UI Frameworks, CDNs, Databases, Utilities) for quick technical auditing.

Frequently Asked Questions

What is a tech stack detector?
A tech stack detector is a tool that identifies the software, libraries, and frameworks used to build and run a website. It works by "fingerprinting" the site—analyzing publicly visible markers in the code, headers, and scripts.
How does this tool detect website technologies?
The tool uses four primary methods: inspecting HTTP response headers, searching for specific <meta> tags, identifying library file names in <script> tags, and checking for unique global JavaScript variables in the browser.
Can it detect backend technologies like databases or languages?
It can detect server-side languages (like PHP or Ruby) if they expose themselves in HTTP headers (e.g., "X-Powered-By"). However, private backend infrastructure like internal databases or microservices are typically hidden from public detection.
Is it legal to use a technology analyzer on other websites?
Yes. This tool only looks at information that a website publicly broadcasts to any visitor's browser. It does not perform any hacking or access private server-side data.
Why are some technologies not being detected?
Some sites use "obfuscation" or custom builds to hide their fingerprints. Additionally, if a technology doesn't leave a distinct client-side marker (like a specific script URL), it cannot be identified by an external scanner.
How accurate is the tech stack detection?
For popular and well-documented platforms like WordPress or React, the accuracy is over 95%. For custom-built solutions or less common tools, the detection is based on suggestive patterns and may vary in confidence.

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