Google Doppl alternatives: what to use now that it's gone

Google Labs closed the standalone Doppl app on 30 April 2026, less than a year after launching it. If you are here because the app stopped opening, or because someone recommended it to you and the link is dead, this is the honest map of what exists instead — and which replacement fits the specific thing you were using Doppl for.

Published 22 September 2026 · Written by the team building Hoilo

What happened to Doppl

Doppl was a Google Labs experiment: you gave it a full-body photo of yourself, and from then on you could point it at a garment — a product image, a screenshot, a picture you took — and see yourself in it. Google shut it down on 30 April 2026, under a year after launch.

The important part is what happened next. The technology did not get cancelled; it got absorbed. Google moved try-on into Search and Shopping, so you now tap try-on directly on a product listing instead of opening a separate app. Read that as a product verdict: Google decided try-on is a feature of shopping, not a destination you visit.

That verdict is worth holding on to while you pick a replacement, because it explains the shape of everything below. The free, high-quality try-on lives where the clothes are being sold. The flexible try-on lives in a standalone app, and it is not free, for reasons that are pure arithmetic.

What you are actually replacing

"Doppl alternative" means four different things depending on which of these you did with it. Be honest about which one is yours before you install anything:

• Browsing a shop and wondering. You were mostly trying on things you found in mainstream online shops.
• The screenshot pile. You threw in pictures from Instagram, resale listings, a friend's message — things with no product page anywhere.
• The set-up-once convenience. You liked that your photo lived in one place and every try-on started from it.
• The fun of it. You were not shopping at all. You were seeing yourself in a coat you would never buy.

The first one has a free, better replacement. The second one has only one kind of answer. The third is a feature, not a category. The fourth is the one where the free options run out fastest.

1. Google's own try-on, in Search and Shopping

This is the official successor, and for most former Doppl users it is the right first stop. You upload a photo of yourself once, then try garments on straight from product results — same underlying generation technology, no install, no subscription, no account beyond the Google one you already have.

Where it wins: it is free, it is already in the place you were shopping, and the reach across the mainstream shopping index is enormous compared with any app's catalogue.

Where it stops: the garment has to exist as a listing in Google's index. A small independent label, a Vinted or Depop listing, a screenshot from a group chat, the dress on the rail in front of you right now — there is nothing to tap. And the feature rolls out on Google's country schedule, not yours, so depending on where you are it may not be there at all yet.

2. The shop's own try-on

The best-looking try-on in 2026 is still the kind a retailer bolted onto its own catalogue. ASOS launched try-on inside its iOS app with the AI platform AIUTA in February 2026 — roughly ten thousand products at the start, a result in a few seconds, and a choice between your own photo and an AI-generated model built to resemble you.

It renders better than Doppl did, and better than anything else will, for one unglamorous reason: the retailer owns lit studio photography of the garment at high resolution, which is exactly the input an image model wants. Nothing you photograph in a shop competes with that.

Where it stops: coverage. It works on that retailer's enabled products, in that retailer's app. Comparing a coat there with one somewhere else means two apps and two mental notes — which is, more or less, the problem Doppl existed to solve.

3. A standalone try-on app

This is the category Doppl belonged to, and the only one that can reach a garment with no product page. You give the app a picture of the thing — a link, a screenshot, a photo of a rail — and a picture of you, and it renders the two together.

On iOS in 2026, the notable names are few. Doji raised $14M and runs invite-only. Beyond that the field is a long tail of web tools of varying seriousness, several of which will be gone by the time you read this; the category has a high death rate, because every render costs the operator real money.

Which is the honest catch with all of them. Doppl was free the way a Google Labs experiment is free — somebody else's research budget. A standalone app pays four to fifteen cents per generated image at 2026 hosted-model list prices, so it charges, caps, or quietly downgrades what it gives you. Expect a free tier that lets you find out whether it works on your photos, and a paywall after that. Be more suspicious of "unlimited free" than of a stated limit.

4. Open-source demos

Several strong garment-transfer models are published openly, and their authors usually put up a public demo you can run in a browser with no account — the Hugging Face Spaces running the well-known try-on models are the usual example.

No signup, no card, no credits, no watermark. You pay in patience and polish instead: public demos share a small pool of GPUs, so you queue, and popular ones go down or get rate-limited for days. The workflow is a research demo — upload a person image, upload a flat garment image, wait — so it wants a clean product cutout, not a screenshot with a model and a Buy button in it. Results are usually fine on plain garments and weak on prints, layers and anything sheer.

Use it when: you want one or two try-ons, you already have a clean garment image, and you would rather queue than pay.

The four side by side

Google Search & Shopping	Free. Huge reach across indexed products. Nothing to install. Cannot touch anything without a listing, and rolls out by country.
Retailer built-in	Free, and the best render you will see, because the shop owns studio photography. One catalogue only.
Standalone app	The only one that reaches screenshots, small labels and things in front of you. Costs money after a free tier, because every image does.
Open-source demo	Free and account-free. Queues, outages and a research workflow. Wants a clean cutout, not a screenshot.

Pick by the habit, not by the app

1. You were trying on things from mainstream shops. Google's try-on in Search and Shopping. Free, better reach than Doppl had, no install.
2. You mostly shop one big retailer. Their own try-on, if they have it. Best quality available, still free.
3. Your inputs were screenshots and links. A standalone app is the only category that works. Budget for it.
4. You liked setting your photo up once. That is a feature, not a category — every option above except the open-source demos remembers you. Judge them on reach instead.
5. You were doing it for fun, not to buy. The free tiers will frustrate you fastest here. Open-source demos are the cheapest way to keep playing; a paid app is the least annoying.

Whichever you land on, the input rules do not change between tools. Our guide to trying clothes on from a photo covers which photo of yourself works and which one quietly ruins every result — worth five minutes before you spend a free credit on a bad photo.

Getting your Doppl data back

The app no longer runs, so there is nothing to open. Anything you exported or saved to your camera roll while it was live is still yours. If you never exported, check Google Takeout for Labs data on your account — what is still there depends on the product and on how long after shutdown you are looking, so do it sooner rather than later.

The general lesson is worth more than the files: an experimental app from any large company can close with a few weeks' notice. Export the results you care about while it still opens, and prefer tools that let you keep your own images rather than only showing them inside their app.

Questions people ask