Image and video decision
Framera
Build it — the core features (video selection, frame-accurate extraction, PNG/JPEG export and a scrubber UI) are implementable by a single competent iOS engineer in about a week; nothing on the App Store page indicates an unreproducible data or platform moat.
View on the App Store↗$2.99/mo
$36/yr
Read off the official pricing page.
$50one-off24 h to build
$0/mo1 h/mo upkeep
On cash alone, building overtakes the subscription at 2 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
- Open a video, seek frame-by-frame with a scrubber, extract the raw frame image at the selected timestamp, and export/save/share as PNG or JPEG.
What it still won’t have
- App Store distribution, ratings, and existing userbase
- Polish and UX iterations accumulated in the published app
- Built-in in-app purchases and subscription management via App Store
- Cross-device account sync and any analytics/ads integration
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 2 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 iOS app in SwiftUI + AVFoundation that opens videos from the device photo library, provides a frame-accurate scrubber using AVAsset/AVAssetImageGenerator, displays a live preview thumbnail while scrubbing, and exports the selected frame as lossless PNG and JPEG to the Photos library and iOS share sheet. Out of scope: App Store in-app purchases, server-side sync, and analytics. Include error handling for corrupt videos, permission flows for Photos access, and unit/UI tests for the frame-extraction logic and export flow. Provide a README with build and run steps.
How we checked
How the score was reached
- Build verdict base78
- 2 cited sources+1
- Price verified on pricing page+3
- Evidence score82
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 · 2
Every page the run actually retrieved.
- official productFrame Grabber - Framera — App Store
- official pricingFrame Grabber - In-App Purchases — App Store
Integrity checks
What held up, and what did not.
