AI · alternatives · 2026
24 alternatives to Similarix
Light Digital Asset Management platform
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Similarix launched in 2024; newer entries below may have overtaken it.
- 1
- 2
- 3
- 4
GitBook AI Lens▲229Semantic search for your technical documentation & knowledge
2023 · its alternatives →
- 5
- 6
Find design assets that are similar-looking to your images
2023 · its alternatives →
- 7
- 8
- 9
- 10SG
2025 · github.com · its alternatives →
- 11
- 12
- 13DA
Hey guys! We just published our little open source project on GitHub and would love to get some feedback. It's a very early release (alpha) but we thought it would be better to do it earlier so that we could get direct feedback. Over the last 10 years we have built small to large web-projects of all kind. Almost every project involved managing images and files in one way or another. How do we manage our images and where? What happens if an image or logo changes, does it get updated across all sites? Which Host/CDN to choose? Is everything we do GDPR-compliant? With Daminik, we are…
2024 · daminik.com · its alternatives →
- 14BA
2025 · organizer.flipfocus.nl · its alternatives →
- 15
Drivebase▲98Unified file manager for all your cloud storage with E2EE
Feb 2026 · drivebase.io · its alternatives →
- 16SV
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 · its alternatives →
- 17
- 18
Would appreciate a star (and happy for ideas on improving indexing speed/embedding quality)!
May 2026 · github.com · its alternatives →
- 19
Open Source your Digital Asset Management for FREE!
2022 · its alternatives →
- 20VA
Dear HN Community, I am a long time fan and first-time contributor. I just launched a developer focused semantic search platform and wanted to share it with the community. The idea is simple: upload structured or unstructured documents, select the fields you want to index and tag as metadata, and instantly get a clean search API you can use in your own app. Here is what it currently supports: - Manage your own tenants and projects - Upload .json and .txt files (support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose 3 APIs: search, upload document (embeddings), and delete document -…
2025 · aisearch.vpuna.com · its alternatives →
- 21IB
After getting frustrated with macOS's Spotlight search, e.g., typing "driver license" doesn't give me anything unless the file name matches exactly, I thought, why not index my entire Documents folder? This way, I can find that one PDF or image buried deep in subfolders using natural language queries. So I built SmartSearch; it uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer. Github: https://github.com/neberej/smart-search/ Demo:…
2025 · github.com · its alternatives →
- 22
- 23
ImageSage finds the image you remember.

It is a private, local AI gallery. Point it at the folders you choose and it reads them in place, building an index that stays on your PC. That gives you two things Windows file search cannot: search that understands what is inside your images, and AI
22d ago · apps.microsoft.com · its alternatives →
- 24AF
Hi HN, We’ve been building [memU](https://github.com/NevaMind-AI/memU), an open-source memory framework for AI agents that supports both classic RAG and LLM-based direct file reading. RAG has become the default in LLM systems, but many of its failures don’t come from the model — they come from the retrieval assumptions. Embedding-based retrieval is fundamentally an approximation over semantic similarity. It works well for fuzzy recall, but it often breaks when relevance ≠ correctness, which is common in real systems. From a retrieval perspective, RAG struggles with: -…
Jan 2026 · github.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →