Zency - Privacy-first document manager for personal files
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Zency is a privacy-first smart document manager that helps you scan, import, search, and organize personal documents in one place.
It supports OCR search, document-to-contact relationships, smart date suggestions, reminders, and local-first organization — designed for people who want to manage important files without depending on cloud-first storage.
Replies
@tuan_hoang11 Hey Tuan! :) Really love what you're building with Zency — the local-first approach is so underrated in a world where everything wants to push your data to the cloud.
I'm also building in this space — Filvy is a privacy-first document vault for families, with AI-powered natural language search so you can just ask your documents questions instead of digging through folders. We store data in Europe and have zero-retention agreements with our AI partners.
It's great to see more makers taking privacy seriously. Would love to exchange notes sometime — always curious how others are tackling OCR accuracy on messy real-world documents.
Congrats on the launch!
@matej4 Hey, thanks a lot — really appreciate the kind words!
Filvy looks interesting too. I like the family-vault angle and the way you’re positioning natural-language search around real household documents and deadlines.
For Zency, I’m leaning very hard into local-first/offline-first, so I’m trying to keep as much OCR/search/document memory on-device as possible and avoid making users upload everything to a central server. That creates some constraints, but it also feels like the right privacy tradeoff for personal documents.
Happy to exchange notes at a high level sometime, especially around messy OCR inputs and how users actually search for old documents in real life. Congrats on your launch as well!
@tuan_hoang11 That's a really thoughtful tradeoff — offline-first is a genuine differentiator, especially for users who are sceptical of cloud anything. I'm curious how you handle OCR on lower-quality scans (faded receipts, old contracts) — that's been one of the trickier challenges on our side too.
The "document memory" framing you used is interesting — that's essentially what we're going for with Filvy too, just from a slightly different angle (AI that remembers context across your whole document vault so you can ask things like "when does my car insurance expire?" without knowing which file it's in).
Would love to stay in touch — builders working on privacy-first document tools are a rare breed!
@matej4 Thanks — really appreciate that.
Yes, OCR on messy real-world documents is definitely one of the hardest parts. Receipts, faded scans, old contracts, and mixed layouts can behave very differently from clean demo documents.
The “document memory” framing is interesting. For Zency, I’m trying to keep that memory local-first as much as possible, so users can quickly search and recall personal documents without feeling like they need to upload everything to a central cloud.
Would be happy to stay in touch and exchange high-level notes as both products evolve. Privacy-first document tools are still early, and I think there’s a lot to learn from how real users actually search for old documents.