Alternatives
Products that do what Mira – Search for files semantically – no exact filenames required does
Would appreciate a star (and happy for ideas on improving indexing speed/embedding quality)!
- 1SG
Sep 2025 · github.com
- 2SS
Hello HN Over the New Year's break, I created semanticvideosearch.com. This can search any video based on meaning and context. I would love to get your feedback on it. What should I change and what can be improved? The preprocessed videos can be search very quickly, while the youtube video links take some time (yt videos also have a upper duration limit due to compute issues). I intend to add search based on the frames of the video soon. I would love to know your thoughts on the demo and any suggestions for improvements. Thanks! PS: the inspiration to create this was to get the 2 mins of…
2023 · semanticvideosearch.com
- 3SG
2020 · github.com
- 4SV
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
- 5ES
2015 · github.com
- 6IM
When your embedding provider is good, but could be better for your use-case.
2024 · zoplabs.com
- 7TI
2011 · github.com
- 8AL
2022 · github.com
- 9IB
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
- 101F
2015 · 10minutestorage.com
- 11RI
2015 · rawcode.io
- 12FA
2024 · filefolder.org
- 13OS
2014 · github.com
- 14SA
2017 · github.com
- 15FC
2018 · github.com
- 16LL
2021 · github.com
- 17FI
2017 · flems.io
- 18VA
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
- 19CI
2016 · github.com
- 20PF
2015 · getpicka.com
- 21FS
2021 · mixpeek.com
- 22TM
2018 · historysearch.net
- 23FT
2015 · api.alluc.com
- 24CV
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
2023 · clientvectorsearch.com
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