About

Background

As a Fujifilm shooter myself, I kept hitting the same wall when picking a lens: the information is scattered. Say I want a fast 50mm-equivalent prime, a do-it-all travel zoom, or a constant-aperture standard zoom — with hundreds of lenses out there across first-party and third-party brands, which ones actually fit and deserve a spot on the shortlist? To find out, I'd have to comb through every brand's official accounts, storefronts, and websites — slow and tedious. Or I could turn to reviews and creators' videos and articles, but those mostly exist to share opinions and steer a buying decision, not to objectively map out how many lenses might match what I'm after — which, to me, is the real first step in choosing a lens.

So I built Atlens: a standardized data pipeline catalogs lenses and collects manufacturers' officially published specs, building a multi-brand, normalized, side-by-side comparable database that tackles exactly that first step. Atlens started X-mount only; G-mount (medium format) came later at users' request, and while its coverage and breadth of features don't yet match X-mount's, they'll keep improving over time.

I'm a front-end engineer, and I currently develop and maintain Atlens entirely on my own. I've always held a deep conviction about building a product that doesn't compromise on engineering quality, user experience, or visual craft — and that conviction is, in no small part, what made this project possible.

Coverage & Roadmap

Missing a lens you're looking for? Tell me

Data & Accuracy

All data in Atlens is produced by two independent pipelines. The spec pipeline collects and structures lens specifications from official brand websites. The pricing pipeline independently samples reference prices from e-commerce storefronts. The two are fully isolated, each with its own data sources and quality control process.

The database is updated when new lenses launch or when existing data needs correction. The version number and last-updated timestamp in the footer reflect the latest published data release.

Disclaimer

Privacy

Atlens does not require registration and does not collect personal information.

This site uses Cloudflare Analytics to collect aggregated, anonymous data — such as page views and feature usage — solely to help improve the product. No personally identifiable information is collected.

Support the Project

Building Atlens involves running a multi-stage data pipeline to gather, clean, and normalize specs from dozens of manufacturer sites, as well as collect price reference data. It is an ongoing commitment, not a one-time build.

For your convenience, some pages include purchase links to dealers, some of which are affiliate links. If you make a purchase through them, Atlens earns a small commission at absolutely no extra cost to you — this simply helps sustain my development and keeps the platform free and ad-free.

Affiliate partnerships never influence rankings or pricing data. The codebase is open source — you're welcome to verify how it works under the hood. If you ever encounter a broken link, a model mismatch, or any dealer issues, please tell me so I can fix it promptly.

You can also support the project directly — every bit helps keep Atlens going.

Acknowledgments

Over the past year, large language models have shown capabilities that once felt out of reach. I could not have imagined completing a project at this scale on my own — let alone shipping it in under a month. Without large language models and AI coding agents, this project might have stayed an idea forever. I am grateful to live in an era where the technology dividend is real, and where a spark of inspiration can actually become something in the hands of a solo developer.