Nomen is in closed beta for macOS and Windows.
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AI species matching for Lightroom Classic.

Select photos, click Match. Names, keywords, and captions written directly into your catalog.

150,000+ species · Land & water · 100% local · GPS-aware matching · Human review for close calls

You already did the hard part.

You traveled, waited, watched, tracked, and got the shot. Then comes the part nobody loves. Hundreds or thousands of files that still need names, keywords, and consistency. Leave that work unfinished, and even your best images get buried: hard to find, easy to forget, painful to use later.

Nomen helps you finish the job.

Built directly into Lightroom Classic, Nomen matches one photo or an entire shoot, suggests likely species, and writes accepted results straight into your catalog. No browser tabs. No separate app. No export-and-reimport ritual.

Fast, but not blind.

Everything runs on your machine. When GPS data is present, Nomen narrows suggestions by region. A bird photographed in Costa Rica will not be matched to a similar species found only in Southeast Asia. And when two species are too close to call, it asks you to review the match before anything gets written.

Speed with judgment. Not automation without accountability.

Turn a backlog into a catalog.

Nomen writes common names, scientific names, captions, and keyword hierarchies directly into Lightroom. Star ratings flag image quality. Color labels flag confidence. Fifteen searchable custom fields let you filter and sort by species, region, family group, and more.

You are not just matching photos. You are building a body of work you can sort, search, publish, and return to years from now.

Built for photographers who care about accuracy.

Every feature is designed around the wildlife photography workflow, from batch processing to structured keyword output.

01

Match at scale

Select a morning’s shoot or a month-long trip. Nomen processes them locally, writes results as they complete, and skips anything already matched.

02

Review close calls

When the top suggestions are too close to call, Nomen asks you to pick. You stay in control of what gets written.

03

Keep your catalog clean

Structured keyword trees (class, family, genus, scientific name, common name) written consistently every time. No more hand-built hierarchies that drift.

04

Your files stay with you

No cloud. No uploads. No API calls during matching. Your photos never leave your computer.

New to Nomen? Start with the workflow guides.

Step-by-step tutorials from your first match to working through a large backlog. Covers how to read confidence scores, when to use which detection mode, and how to handle wrong matches.

About the Maker

Built by a wildlife photographer who writes code.

My name is Brett Forsyth. I am a wildlife photographer, software developer, and educator. I do all three at the same time. I have spent over a decade shooting birds, insects, reptiles, mammals, and aquatic life. I build software, design custom hardware like camera traps from scratch (circuit board, housing, firmware), and spent six years teaching digital design at Vancouver Film School, leading programs that covered programming, branding, motion graphics, and video.

In 2022 I did Ontario’s first human-powered Big Year. Birding by bicycle, 275 species, zero carbon. My Lightroom catalog now has over 100,000 photos going back to 2013. Almost none of them were tagged. I had the backlog problem every wildlife photographer has, and I had the engineering background to do something about it.

Nomen is the tool I built to name my own work. I built it to run inside Lightroom Classic because that is where the photos already live. An unnamed catalog means your own work is locked away from you.

Four steps to a named catalog.

01

Install the plugin.

Download Nomen and add it to Lightroom Classic through the Plug-in Manager.

02

Download your species packages.

Choose from 29 species packs covering land and aquatic species. One-time download, then everything runs offline.

03

Select and match.

Pick one photo or a full shoot. Choose a detection mode (Main subject, Every subject, Fast survey, or Deep survey), then click Match. Nomen processes them locally on your machine.

04

Review and accept.

Accepted results are written directly into your catalog. Names, keywords, captions, ratings, labels. Review close calls when the model is uncertain.

Join the beta.

Nomen is in closed beta. Sign up and we’ll send you a license key once you’re approved. Lifetime access, one machine, every feature included.

Give your photos their right names.

~1.5 GB core engine + your species packs. ~5 GB with everything installed. macOS (Apple Silicon) or Windows. Lightroom Classic (SDK 13.0+).