Duplicate File Finder

Locate redundant files using professional-grade data hashing. Compare contents precisely without ever uploading your information to a cloud server.

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Select files to scan

Drag & drop a batch of files or click to browse

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We use SHA-256 Content Hashing. This means we compare the actual data inside your files, allowing us to find duplicates even if they have different names.

Hashing files: 0%

What is the Duplicate File Finder?

The Duplicate File Finder is a secure, browser-based utility designed to scan batches of files and identify identical copies. Instead of relying on file names or dates, which can easily be changed, the tool reads the binary structure of each file and generates a unique cryptographic hash to find exact content matches.

This hashing technique ensures that if two files contain the same bytes, they will be flagged as duplicates even if they are named differently. Because all cryptographic operations execute locally on your machine, your private photos, archives, and spreadsheets are never uploaded to any external server.

How to Use the Duplicate File Finder

  1. Select Your Files: Drag and drop a folder or a group of files into the dotted upload area, or click the area to choose files via your browser's file picker.
  2. Analyze Hashing Progress: Wait briefly while the local cryptographic engine calculates the SHA-256 hashes of your selected files. The loading screen will display the hash completion percentage in real time.
  3. Inspect the Duplicate Groups: Review the results container below the upload box. The tool lists duplicate items in grouped cards, showing the file paths, file sizes, and shared SHA-256 hash values.
  4. Clean Up Your System: Note the redundant files displayed in the groups and manually delete the extra copies from your device's directories to free up storage space.

Key Features

  • Cryptographic SHA-256 Hashing: Matches files based on content structure, ensuring absolute accuracy regardless of filename differences.
  • Clear Group Layouts: Organizes duplicate items into separate boxes, displaying paths and byte sizes for quick comparisons.
  • Safe Manual Selection: Lists redundancies without editing or deleting local files directly, maintaining safety.
  • Instant Client Auditing: Scans files locally using your CPU to bypass slow cloud upload times.
  • 100% Sandbox Execution: Runs within browser RAM to keep your files secure and private.

Common Use Cases

  • Media Library Deduplication: Scan and group copied photos, duplicate videos, or repeating music tracks from your phone backups.
  • Download Folder Cleanup: Identify identical installers, PDF manuals, or zip archives scattered in your downloads folder.
  • Project Archive Auditing: Find redundant assets in design templates, coding folders, or document archives before storing them.
  • Database Dump Checks: Verify if exported datasets or backup files are exact duplicates of older versions before archiving them.

Frequently Asked Questions

No. Browsers cannot delete files on your local hard drive due to security restrictions. The tool lists the duplicate file paths so you can manually locate and delete them yourself.

To verify that two files are identical, the tool calculates a SHA-256 cryptographic hash of their entire contents. Reading large files into memory takes a few seconds depending on your device's speed.

No. All file reading, hashing, and comparisons are handled locally in your browser's private memory sandbox. None of your files, paths, or hashes are shared or uploaded to our servers.

A SHA-256 hash is a unique digital fingerprint generated from the content of a file. If two files differ by even a single byte, their hashes will be completely different, ensuring accurate duplicate detection.

Yes. If your browser supports folder uploads, you can select a directory and the tool will traverse and compare files across all its subfolders.

🔒 Privacy & Data Note: All duplicate scans and file hashing calculations occur inside your browser. No files, content, or hashes are uploaded to our servers.