URL Cleaner

Clean, normalize, and sanitize URLs in bulk. Remove UTM parameters, fbclid, gclid, msclkid, session IDs, and other tracking parameters from single URLs or large lists. Deduplicate, sort, extract domains, and analyze tracking parameters — all processed locally in your browser.

⚙️ Tracking Parameters to Remove
🔧 Normalization Options

One URL per line in TXT; URLs detected from first column in CSV/TSV.

Extracted root domains (e.g. https://www.example.com/pageexample.com), sorted by frequency.

No URLs processed yet.

All query parameters found across all input URLs, sorted by occurrence count.

No URLs processed yet.

No URLs processed yet.

URLs that could not be parsed or have structural issues.

No URLs processed yet.

⭐ About the URL Cleaner Tool

The URL Cleaner is a powerful bulk URL sanitization tool that removes tracking parameters, normalizes URL structure, and exports clean links in multiple formats. It works entirely in your browser — no data is ever sent to a server.

🔎 What tracking parameters does it remove?

The tool identifies and removes the most common tracking and analytics query parameters, organized by platform:

  • UTM parameters: utm_source, utm_medium, utm_campaign, utm_term, utm_content, utm_id and more
  • Facebook: fbclid, fb_action_ids, fb_source
  • Google: gclid, gbraid, wbraid, _ga, _gid
  • Microsoft: msclkid
  • TikTok: ttclid
  • Affiliate: ref, referrer, aff, affiliate, partner
  • Session IDs: PHPSESSID, sessionid, sid, mc_cid, mc_eid

⚙️ URL normalization options

Beyond removing tracking parameters, the URL Cleaner provides full normalization control:

  • Convert domain names to lowercase (e.g. Example.COMexample.com)
  • Normalize protocol to https:// for consistency
  • Remove URL fragments (#section) from cleaned URLs
  • Remove trailing slash from paths (optional)
  • Sort query parameters alphabetically for canonical URL generation
  • Decode percent-encoded characters (%20, %3D, etc.)
  • Remove duplicate query parameters
  • Remove empty query parameters (keys with no value)
  • Strip all query parameters at once with one checkbox

⚙️ Bulk processing features

  • Process thousands of URLs — one per line or via file upload (TXT, CSV, TSV)
  • Remove duplicate URLs after cleaning (post-normalization deduplication)
  • Sort cleaned URLs alphabetically
  • Extract URLs automatically from any pasted block of text
  • URLs detected from CSV/TSV files use the first column value

🔎 Analysis tabs

After processing, results are broken down across multiple tabs:

  • Cleaned URLs — ready-to-use cleaned output as plain text
  • Comparison — side-by-side view of original vs. cleaned URLs
  • Domain Extractor — list of unique root domains sorted by frequency
  • Parameter Analyzer — all parameters found across all URLs, classified by type (UTM, Facebook, Google, etc.) and sorted by occurrence
  • URL Statistics — totals, top domains, top parameters, and URL length distribution
  • Invalid URLs — malformed or unparseable URLs flagged with their specific issue

⚙️ Example: canonical URL generation

Input:

https://Example.COM/page/?utm_source=google&id=123&utm_medium=cpc#section

Output (with UTM removal, lowercase domain, normalize protocol, remove fragment):

https://example.com/page/?id=123

📦 Export formats

Download your cleaned URL list as TXT, CSV (with original/cleaned columns), TSV, JSON, or XLSX. The CSV and XLSX formats include both the original and cleaned URL for easy comparison.

⚠️ URL validation

Every URL is validated before cleaning. Issues detected include:

  • Missing protocol — the tool safely assumes https:// and still cleans the URL
  • Malformed URL — unparseable strings are listed in the Invalid URLs tab and excluded from output

✅ Privacy-first, fully client-side

All URL cleaning and analysis runs entirely in your browser using JavaScript. Your URLs are never uploaded to a server, making this tool safe for confidential link lists, internal analytics audits, or SEO URL reviews.


This tool is also known as

  • clean urls remove tracking parameters
  • bulk url cleaner online
  • remove utm parameters from url
  • strip tracking params from links
  • url sanitizer and normalizer

Frequently Asked Questions

A URL Cleaner is a tool that removes unnecessary or privacy-invasive query parameters from URLs — such as UTM tracking codes, Facebook click identifiers (fbclid), Google click identifiers (gclid), and session IDs — and optionally normalizes the URL structure for consistency.

UTM parameters (utm_source, utm_medium, utm_campaign, utm_term, utm_content) are appended to URLs by marketers to track campaign performance in Google Analytics. While useful for analytics, they make URLs longer and messier. When sharing links or building a canonical URL list, removing UTM parameters produces cleaner, shorter URLs.

fbclid (Facebook Click Identifier) is a tracking parameter automatically appended by Facebook to outbound links. It helps Facebook track ad performance. It is safe to remove because it carries no information relevant to the destination page — it is purely for Facebook's analytics systems.

Yes. Paste one URL per line in the input area, or upload a TXT, CSV, or TSV file. The tool processes thousands of URLs at once and outputs cleaned versions in the same order. You can also enable "Remove duplicate URLs" to deduplicate the list after cleaning.

No. All URL cleaning, normalization, and analysis runs entirely in your browser using JavaScript. Your URL data is never uploaded or transmitted to any server. This makes the tool safe for confidential link audits, internal analytics reviews, or SEO work.

You can upload TXT files (one URL per line), CSV files (URLs taken from the first column), and TSV files (URLs taken from the first column). XLSX upload is not required — you can copy your URL column from Excel and paste it directly into the text area.

You can export cleaned URLs as TXT (plain list), CSV (with original and cleaned columns), TSV (tab-separated), JSON (array of objects with original, cleaned, domain, and params removed), and XLSX (Excel format with all columns).

URL normalization is the process of converting a URL to a consistent standard form. This includes converting the domain to lowercase, standardizing the protocol to https://, removing tracking parameters, removing trailing slashes, sorting query parameters alphabetically, and decoding percent-encoded characters. Canonical URL normalization is essential for deduplication, SEO audits, and link comparisons.

When this option is enabled, the tool scans the entire input text and automatically extracts all URLs (starting with http:// or https://) from the content. This is useful when you paste raw HTML, email content, blog posts, or any unstructured text that contains links you want to clean.

The Parameter Analyzer scans all input URLs and counts how often each query parameter appears. Parameters are classified by type (UTM, Facebook, Google, Microsoft, TikTok, Affiliate, Session) so you can instantly see which tracking systems are most present in your URL list.

If a URL is missing a protocol (e.g. example.com/page?utm_source=google), the tool treats it as https:// for parsing and cleaning purposes. The cleaned output uses the normalized https:// protocol. URLs that cannot be parsed at all (e.g. plain text strings without a domain) are listed in the Invalid URLs tab.

Yes. Check the "All query parameters" option under Tracking Parameters. This removes every query parameter from every URL, regardless of its name. This is useful when you only need the base URL (protocol + domain + path) without any query string.

The Domain Extractor tab shows all unique root domains found in your URL list, sorted by how frequently each domain appears. Subdomains (like www.) are stripped to show only the root domain. This is useful for auditing which websites appear most in a link set.

After cleaning, two or more originally different URLs may produce the same cleaned result (e.g. URLs with different tracking parameters but the same base). The "Remove duplicate URLs" option deduplicates based on the cleaned URL output, keeping only the first occurrence.