videoduplicatefinder
Video Duplicate Finder searches collections for duplicate videos, with a cross-platform project listed in its repository.
About videoduplicatefinder
Video Duplicate Finder scans hard disks for video and image files that are similar, including copies with different resolution, frame rate, or watermarks. It provides a desktop GUI for Windows, Linux and macOS, a headless CLI, a web UI, and a Docker image, with optional native ffmpeg calls and pHash scanning.
Partial clip detection and AI matching are optional passes that must be enabled in Settings. Audio-based clip detection requires audio in both files and skips silent videos, while the local AI pass looks for transformed copies and silent or re-dubbed clips.
Key features
- Finds similar videos and images differing in resolution, frame rate, or watermark
- Detects shorter clips inside longer videos using audio fingerprinting
- Optional local AI matching for cropped, mirrored, or heavily edited copies
- Provides desktop GUI for Windows, Linux, and macOS
- Offers headless CLI for scripting and automation
- Includes web UI and Docker image for remote or NAS use
Best for: People with large local video collections who need to find similar, edited, or partial duplicates.
Good for
- Finds duplicates despite differences in resolution, frame rate, and watermarks
- AI matching runs 100% locally
- Available with GUI, CLI, web UI, and Docker image
Watch out for
- Audio-based partial clip detection skips files without audio tracks
- Partial clip detection and AI matching must be enabled in Settings
- Clips below the minimum clip/source ratio are ignored
videoduplicatefinder at a glance
- Category
- Design & Creative › Video Editing & Animation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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videoduplicatefinder FAQ
Can it find a short clip taken from a longer video?
Yes, as an optional second phase after the visual scan. It uses audio fingerprinting and shows a Clip Offset, with visual confirmation on by default. Both files must have audio.
Can it find cropped, mirrored, or silent edited copies?
Yes, with optional AI matching using local neural embeddings. It finds transformed copies and trimmed clips in silent, muted, or re-dubbed videos.
What ways can it be run?
Desktop GUI for Windows, Linux and macOS, headless CLI for scripting, web UI for remote/headless/NAS use, and a Docker image.
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