Image and video decision
Ai Swap : Facetik
A capable technical user can assemble a functional, self-hosted face-swap service using existing open-source projects; reproducing the full polished mobile product and App Store integration is more work but not technically proprietary.
View on the App Store↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off120 h to build
$200/mo6 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Ai Swap : Facetik alternatives, with the arithmetic →
What a replacement has to do
- User uploads photo/video → detect & track faces → run face-swap model per frame → composite and encode result → deliver downloadable video.
What it still won’t have
- Polished native mobile UX and App Store submission polish
- Curated template library and frequent template updates
- Built-in in‑app purchase flow and App Store billing integration
- Proprietary model optimizations and on-device 4K performance
- Existing user base, ratings, and platform trust
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Ai Swap : Facetik does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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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 face-swap service using Python + PyTorch (for model inference), FFmpeg (frame I/O & encoding), FastAPI (API), PostgreSQL or SQLite (job metadata), and a lightweight React Native iOS client. Core features in scope: upload photo/video, face detection & tracking, run an open-source face-swap model (e.g. SimSwap or faceswap), per-frame blending and re-encode with audio sync, return downloadable video, transient server storage with automatic deletion, basic logging and retry on failure. Out of scope: payment/in-app-purchase integration, curated template marketplace, on-device 4K optimizations, and App Store submission. Include error handling, input validation (file size, formats), job status endpoints, and automated tests for the API and model inference pipeline.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Evidence score60
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 · 3
Every page the run actually retrieved.
- official pricingFace Swap AI Video - Facetik (App Store)
- open sourcedeepfakes/faceswap
- open sourcehacksider/Deep-Live-Cam
Integrity checks
What held up, and what did not.
