Image and video decision
Ploxto
A competent developer can reproduce the core AI photo-editing workflow using existing open-source model tooling (Diffusers) and a small web stack in a few weeks; you would forgo Apple-native distribution and built-in IAP/payment handling.
View on the App Store↗$6.99/mo
$84/yr
Read off the official pricing page.
$100one-off50 h to build
$50/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 9 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Upload an image, enter a textual edit/prompt, run an image-editing model (inpainting/diffusion), preview result, download/share.
What it still won’t have
- App Store distribution, native iOS/macOS/visionOS integration and Discover features
- Built-in subscription billing handled by Apple (IAP) and associated revenue flow
- Any bespoke onboarding, A/B paywall experiments and tuned mobile UX
- Polish, localization, and platform-specific performance optimizations
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 9 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal web-based AI photo editor: use React for the frontend, FastAPI (Python) for the backend, and run HuggingFace Diffusers (PyTorch) for inpainting/diffusion on a single GPU instance. Core features in scope: image upload, text-prompted edit endpoint, server-side model inference producing preview and final images, object storage (S3-compatible) for originals/results, simple metadata DB (SQLite/Postgres), and a download/share button. Out of scope: native iOS/macOS apps, Apple IAP/subscription integration, multi-user billing. Include error handling, input validation, retries for model jobs, basic unit tests for API endpoints, and a Docker-based deployment manifest for a single GPU host.
How we checked
How the score was reached
- Partly verdict base52
- Price verified on pricing page+3
- Evidence score55
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 1
Every page the run actually retrieved.
- official productPloxto: AI Photo Editor — App Store
Integrity checks
What held up, and what did not.
