Local AI photo culling and editing app for pro photographers

AI that culls and edits a whole wedding on the photographer's laptop, sold as a flat monthly subscription.

In plain English

Wedding and other pro photographers use a desktop app that sorts, edits, and retouches a whole job on their own computer. The AI picks the strongest shots and sets aside blinks, blur, and near copies, then applies that photographer's own editing style and retouches. They pay a flat monthly subscription because the work stays on their machine, so the bill does not grow with every photo. The AI does most of the photo work. The person running the app still improves how pictures are judged, updates the program, and stays close to photographers with support and marketing.

Automation85%

Startup costNot disclosed

Time to first $Not disclosed. Aftershoot was founded in 2020 and launched AI culling in 2021, per its About page.

Monthly range*$833,333 Annual ÷ 12

"$10 M+ in ARR" and 30,000+ photographers, per Aftershoot's own careers page (live Oct 2026). That is company-reported, not audited.

DifficultyHard

SourceAftershoot careers page (Senior Software Engineer, Rust) ↗

Operator: Harshit Dwivedi (founder & CEO) and Justin Benson (co-founder & CPO)

Operator-Reported

A named, real operator ran this and shared results publicly. The figures are their own.

Not disclosed. The founders have not published what it cost to build the first version. The company later raised outside funding, so it is not a bootstrapped benchmark.

The tool stack

Electron ↗

Free (open source)

Cross-platform desktop app shell

Rust ↗

Free (open source)

Fast local backend that processes images on the user's machine

ONNX Runtime ↗

Free (open source)

Runs your trained models on the user's CPU/GPU

Stripe ↗

2.9% + 30¢ per successful domestic card charge

Subscription billing

Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.

Step-by-step setup

Pick one painful, repetitive photo job (culling thousands of near-duplicate wedding shots)
Build a desktop prototype that runs the model locally so you pay no per-image cloud cost
Give it to photographers in Facebook groups and forums and iterate on their feedback
Charge a flat monthly subscription instead of per image
Add the next job (editing in the photographer's own style, then retouching) as paid add-ons

What's automated vs. the human 15%

The machine does

Picking the best shots and rejecting blinks, blur and duplicates
Applying the photographer's learned editing style to every image
Retouching
All processing happens on the customer's computer, so no GPU bills grow with usage

You still do

Model training and quality control
Desktop app engineering and updates
Community, support and marketing

Overview

Aftershoot is a desktop app that culls, edits and retouches photos with AI. The AI runs on the photographer’s own computer, not in the cloud. Its careers page describes a Rust backend that “runs locally alongside the Electron app”. Co-founder Justin Benson, a wedding photographer, explained on the Dead Pixels Society podcast that running locally means “no cloud costs”. That is why they can offer unlimited images at a flat price. He also said human editors used to charge photographers roughly 35 cents an image, or $300–$400 a wedding.

How the money comes in

It’s all subscriptions. According to aftershoot.com, plans start at $10/mo for culling, $30/mo for editing and $20/mo for retouching. The full workflow is from $45/mo billed annually. Pricing is flat, not per image. Because the customer’s computer does the work, extra usage adds almost no cost for the company.

Realistic income

Aftershoot says it has “$10 M+ in ARR” and “30,000+ photographers” (careers page). In April 2025, Harshit Dwivedi discussed the team size “at $3M ARR” on a Stellaris VP podcast. The company reports these numbers itself, and outside investors back it. This is one team’s result after several years (founded 2020 per its About page). It doesn’t predict yours.

Risks

Hard build. You need a good model and a polished desktop app, and photographers won’t forgive bad picks.
Platform competition. Adobe Lightroom and other editors keep adding AI culling and editing.
Hardware spread. Local AI has to run well on old laptops as well as new Macs, which means a lot of support work.
Niche ceiling. The number of professional photographers is limited, so growth depends on upsells.

How to start this week

Join two photographer communities (wedding, real estate or sports) and list the most boring repeated task.
Prototype a local script with an open vision model (ONNX Runtime) that sorts out blurry and closed-eye shots.
Run it on a photographer’s real shoot and measure the hours it saves.
Charge a small flat monthly price from the first beta user, and don’t charge per image.

*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.

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