Alternatives
Products that do what SuperDupler does
Find duplicates, semantic search, and edit media with AI
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This is a long-running project that started as the proverbial need to scratch my own itch and then somehow evolved into a full-time job of the past 6 years. Link: https://bvckup2.com I thought I'd do a Show HN for two reasons. 1. I obviously want to show my baby to those who haven't seen it. Its primary purpose is to do very fast file replication. If you are familiar with "robocopy /mir" - same idea, but on steroids. Lots of them. It can be used for both mirroring and archiving backups, among other things. It is light, very small and it is really quite fast. Half of the…
2019 · bvckup2.com
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2025 · organizer.flipfocus.nl
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Hi HN, I am Anubhav from Ramanlabs. We have been working on a native gui application to allow users to search any video data( mp4, mkv) or video streams (http/rtsp) using computer vision. Application is supposed to work like a video player which displays decoded frames and recognizes objects concurrently, making it an interactive experience. It works in super real-time and only expects a quad-core CPU with AVX2 instructions at minimum. Application is free to download (without any signup/account). We are only supporting WINDOWS for now [0]. Even though this is a binary application,…
2022 · ramanlabs.in
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AI-Powered Duplicate File & Photo Finder with Meta DINOv2
Aug 2026 · cisdem.com
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This is an upgrade of a tool I created 15 years ago in Python to learn OOP and solve some inadequacies in the HDR stacking tools I could find at the time. The problem was, none of them were really "batch friendly". None of them properly preserved the metadata I wanted them to stuff into the output file. There were probably some other reasons also, I just can't remember them now. It got the job done, but was very slow. Python was what I knew at the time and even with NumPy, I was limited in the speed I could squeeze out of it. (I also made some very specific, conscious, architectural choices…
Jun 2026 · github.com
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We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…
2025 · github.com
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AI Files Agent Organizer, Space Saver, System Cleaner macOS
May 2026 · 1dot.ai
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