Can Optyx AI Photo Selection Tool Replace Your Manual Culling Workflow?

Culling is the part of photography shoots that almost no one talks about. It doesn’t make it onto camera gear wishlists or YouTube tutorial thumbnails; it just sits there between the shoot and the edit, eating hours that could be going somewhere more useful.

Optyx is built specifically to challenge the notion that culling is a manual and thought-intensive process. It’s a desktop application with one focused job: get you from a full memory card to a curated set of selects as fast as possible, using AI to do the heavy lifting on the decisions that are mostly technical anyway.

In essence, the AI checks whether the smiles are genuine enough, whether someone sneezed mid-snap, or whether two shots in a burst are the same. The entire thing is supposed to be automatic, but let’s see how it does in this Optyx review.

Intro to Optyx

Optyx is a dedicated photo culling application available for Windows and macOS. Unlike browser-based tools, it runs as a native desktop app and processes your images locally, but an internet connection is still needed for the AI analysis.

The core proposition is straightforward: import your RAW files, let the AI analyze and group them, then accept, adjust, or override its selections before sending the results to the editing suite of your choice (with Lightroom specifically recommended for integration benefits).

The entire pipeline is designed to slot into an existing Lightroom-based workflow rather than replace it. That’s because Optyx doesn’t edit images. It just selects which ones should be kept for further use.

Feature Review

Autogroup and Autocull

These two features are the backbone of what Optyx does, and they work sequentially.

Autogroup clusters similar images into groups, like burst sequences, near-duplicate compositions, or frames from the same moment in an event. Autocull then evaluates each image within a group and nominates the strongest cutting candidate based on the AI’s scoring.

In practice, the grouping is accurate on most shoot types. I’ve done some testing with personal photoshoots for portraits, nature photography, wedding scenes, family sessions, and event coverage, and they all grouped well.

Where the tool requires more attention is on dynamic shoots, where the composition is changing quickly, and what looks like a similar frame to the AI is actually a creative decision to change the angle and so on. The grouping thresholds are adjustable, so you can tell Optyx to be more or less aggressive about what it considers “similar,” but you do need to dial that in per shoot type.

The autocull selection within each group also tends to cut a vast majority of the time. You should expect the sharpest image where the person has their eyes open and is smiling prominently, and where the background is not too blurred or highlighted.

However, the tool can’t really account for context that isn’t a “picture-perfect scenario,” such as the moment just before the laugh or a snapshot. The AI doesn’t know what happened before or after the shot, only what’s in it.

This can matter for more documentary-style work, where catching a more natural or stoic expression is the norm, so consider this a warning of what to expect.

Face Analysis

Optyx uses expression scoring to identify genuine smiles, relaxed neutral expressions, and clearly unhappy or tense faces with good accuracy. From a practical standpoint, it allows you to get a numerical overview of why the AI thinks something should be culled based on the lack of forced performative posing.

However, you still might need to be mindful of the context. A neutral expression during a quiet moment won’t be the same as a neutral expression during a posed group shot where everyone’s supposed to be smiling.

But the AI’s scoring of each could be technically the same, and a picture might get selected for culling where it doesn’t need to. So make sure to use the three sliders on the right for face analysis as a rough guideline first.

Blink Detection

The blink detection is accurate and meaningfully reduces the time you spend squinting at thumbnails to check whether someone’s eyes are fully open. Optyx flags closed or partially closed eyes reliably, taking into account the overall face shape, ethnicity, etc.

The tool also knows when the subject is facing away from the camera or has their face covered or occluded by an object, and these usually won’t get flagged as blinking.

One area I found useful: in very bright conditions where strong squinting is happening without a full blink, the detection can be inconsistent. Genuinely closed eyes are flagged correctly; the partial-squint range is less reliable. For most indoor and mixed-light shooting, this isn’t a significant problem.

Focus Detection

Out-of-focus faces can be a real issue when you’ve got potentially hundreds of photos to comb through, and Optyx does the job here marvelously. It automatically lists photos where some of the subjects are prominently out of focus for culling.

The focus thresholds can also be customized (but I haven’t played with it for long enough to master it). So if your shot is acceptable where the secondary subjects are slightly softer, you can adjust what Optyx considers “out of focus” rather than getting bogged down by the AI consistently flagging the same creative choice again.

RAW Preview Speed

This is the feature that might make the most difference if you’re used to solely working in Lightroom. Lightroom’s RAW rendering is often slow, particularly on large files or machines where the program is stored on an HDD. You’ve likely noticed a lag between pressing the arrow and the images actually flipping through.

Optyx renders previews quickly enough that flipping through images feels closer to flipping through JPEGs than loading RAW files. The program is technically still rendering the images in the embedded preview in the RAW file initially, but the visual quality at that initial render is good enough for culling decisions in almost all cases.

This speed advantage is great even if you plan to cull everything manually, without using any of the AI features. You can even use the free tier of Optyx just for the fast previews.

Customizable Autocull Profiles and Metadata

Optyx allows you to build custom profiles that define exactly what the autocull does with its output and lets you decide what metadata gets applied. For example, you can give the top-scoring image in each group four stars and a green color label, flag out-of-focus shots yellow, and mark blink-affected frames as rejected.

These rules stack on top of each other and can be saved as named profiles, so your wedding workflow and your commercial product workflow can have completely different autocull behaviors without manually resetting anything between jobs.

Manual Culling Mode

Notably, Optyx doesn’t force you into full automation. The manual culling mode is something that can be marketed as a standalone application itself, and it goes to show just how useful AI-based image detailing is.

Even without a premium subscription, I found the app provides fast previews, allows you to navigate everything through a keyboard, and clearly labels the AI analysis.

Most importantly, while the culling is done manually, the AI analysis isn’t. While the premium version shows more information, the free tier is still reliable enough to group images based on similarity and provide an excellent first pass.

Of course, that means you do have to manually review the groups where the AI’s choice was close or where the technical scoring couldn’t capture what made the shot work. But even then, this significantly reduces the number of images requiring your full attention without removing your oversight from the final selection.

For illustration, a 2,000-image wedding shoot that would take three hours to manually cull might take 40 minutes this way. The first pass eliminates the obvious rejects, then the manual review allowed me to focus my time on the images that actually need it.

Lightroom Integration

Beyond the drag-and-drop workflow for importing images, Optyx provides a Lightroom plugin that integrates the culling capabilities more directly into Lightroom Classic.

The plugin path removes the switching between Optyx and Lightroom when you finish the culling. Basically, it forwards all the images that were kept directly into Lightroom so they can be processed further.

How It Compares to the Alternatives

The culling software market is a bit unique since there are a lot of tools that try to carve their own niche.

Aftershoot sits at one end of the automation spectrum since it runs entirely offline after installation and has basic AI editing features that begin to overlap with the editing workflow. If you want an all-in-one solution that culls and begins applying edits without manual intervention, Aftershoot is the more complete option.

Photo Mechanic, on the other hand, is the benchmark for raw preview speed among photographers who cull manually. It doesn’t use AI at all; it simply renders previews faster than anything else on the market and gives you the keyboard shortcuts to move through images at pace.

Where Optyx lands is between those two platforms. It’s more automated than Photo Mechanic, more transparent and controllable than Aftershoot’s full-automation model, and it’s built around the premise that you want to understand and trust what the AI is doing rather than just accept its output.

Pricing

Optyx operates on a two-tier model with a genuinely usable free option.

The free tier, which was updated to unlimited photos in v2.0, gives you manual culling with fast previews on any number of images. You don’t get the AI autocull or autogroup features, but you do get the preview speed advantage over Lightroom, which alone is enough to improve a manual culling workflow meaningfully.

The Pro tier, which unlocks all AI features, is available as a subscription starting at around $9.99 per month (there is also a $6.99 monthly charge billed annually). The subscription covers multiple machines for a single user and includes access to the newest updates.

The free tier with unlimited manual culling can be considered a great starting point, as even these basic AI features are enough to save some time while having no cost.

One thing that slightly irks me is that the official website is built weirdly. It uses odd language for purchasing the subscription (alongside the stock “Call to Action” button rather than the usual “Subscribe” or “Get for Free”).

While the payment went through fine and there doesn’t seem to be an issue with the app, it’s an odd choice to leave the website like that.

Who Is Optyx For?

The strongest use case for Optyx is high-volume portrait and event photography.

In here, it’s the wedding photographers, family session shooters, corporate event coverage, and headshot photographers who are working with large bursts. For this context, the AI-assisted culling (even in manual mode) that Optyx adds can significantly speed up your workflow.

Do note that this does require a bit of time to get used to the app and set up the correct sets of rules for each type of photography you use. Don’t expect the tool to be a one-click solution that just spits out images ready for editing, as it might cull more images than necessary.

It’s also a strong fit if you want AI assistance on its own terms rather than a black-box automation. The customizable profiles, the per-image scoring visibility, and the manual override mean you’re directing the AI rather than following it.

This works great because I’m always reluctant to try out an AI that just “does the thing” in the background and presents me with the result. With Optyx, I know what I’ve got, but also why I got the result I did.

Where the tool falters a bit is in any other type of photography. If you’re working on unusual poses, documentaries, street photography, or genres where the shots are creating new rules or breaking old ones, Optyx will likely flag most of it as “bad” and “cull-worthy.”

That’s simply due to the fact that the AI has a relatively simple scoring framework, relying on the sharpest image, with the best and most natural expression, and eyes open. If your subjects rarely pose like that, you likely won’t get much use out of it.