DeepSwapAI vs Magic Hour
DeepSwapAI is a focused browser face-swap product with separate photo, batch, mapped group-photo, video, and GIF paths. Magic Hour places face swap inside a broader browser creator platform with image, video, audio, API, subscription, and credit-pack options.
Evidence status
Current official Magic Hour product, pricing, help, API, privacy, and terms pages were reviewed against DeepSwapAI's live workflows and product facts. No controlled output benchmark or shared test set was run, so no quality, speed, accuracy, or reliability winner is declared.
Documented workflow
| Decision point | DeepSwapAI | Magic Hour |
|---|---|---|
| Primary access | Browser application; verified account required before generation | Browser platform; current photo face swap advertises a no-sign-up route, with accounts adding saved projects, rewards, and multi-face access |
| Face-swap media | Dedicated photo, batch photo, mapped group-photo, video, and GIF workspaces | Current face-swap page links photo, video, and GIF modes and documents multi-face mapping |
| Batch photos | Dedicated up-to-20-image batch workspace with two mapping directions and displayed per-output cost | A comparable multi-file batch-photo workspace was not confirmed in the official sources reviewed |
| People in one target | Maps separate references to as many as 10 selected people in one group photo | Current product and API materials document multi-face mapping; verify the live account limit for the selected mode |
| Billing shape | Three one-time pay-as-you-go credit packages; no subscription required | Recurring Creator, Pro, and Business plans plus one-time credit packs; current pricing says pack credits do not expire |
| Free photo export | Trial images show DeepSwapAI.com and the account's 100% complete email address until a completed credit purchase unlocks clean future image exports | Current face-swap FAQ advertises five no-sign-up photo swaps per day without a photo watermark; free video and GIF behavior is described separately |
| Commercial-use statement | Use remains subject to permission, law, the Terms, and third-party rights | Current pricing says paid users receive commercial-use rights while free use is personal and non-commercial |
| Published media retention | Uploads and generated media removed from DeepSwapAI servers within 24 hours | The free face-swap FAQ says uploads and outputs are deleted after one day; the broader pricing FAQ says platform uploads are deleted within one week |
| Training or improvement statement | Uploaded content is not used to train AI models | The face-swap FAQ says free-tool uploads are not used to train models; the general Terms separately permit prompts and uploads to help develop and improve products |
Compare the payable unit
DeepSwapAI sells one-time credit packages and displays task cost before submission: 2 credits for a photo, 2 per batch output, 2 per mapped group-photo face, 2 per second for 720p video, 5 per second for 1080p video, and 3 per second for GIF, subject to displayed minimums.
Magic Hour combines recurring plans with one-time credit packs. Its current pricing page says packs remove watermarks and never expire, but do not include subscription benefits beyond watermark removal. Plan resolution, commercial rights, queue priority, upload limits, API access, and included credits vary by tier. Compare the live price and entitlement for the same intended output rather than treating a credit as the same unit across products.
Practical fit
You need an explicit multi-file photo batch, numbered group-photo mapping for up to 10 people, one-time-only billing, a pre-generation cost total, a 24-hour media deletion rule, or a product-wide no-training statement.
You want a no-sign-up photo trial, a wider image/video/audio toolkit, commercial-use plan entitlements, higher-resolution plan options, or a documented face-swap API.
Your decision depends on a specific face, pose, hair boundary, lighting setup, moving clip, or multi-person scene. Published feature lists cannot predict that output.
Read scope and context
Magic Hour's current face-swap FAQ describes one-day deletion for uploads and outputs on the free tool. Its pricing FAQ more broadly says uploaded platform assets are deleted within one week. Its face-swap FAQ says those uploads are not used for model training, while the general Terms permit prompts and uploads to help develop and improve products. These statements can apply to different contexts; users should read the current product page, pricing FAQ, Privacy Policy, and Terms together.
DeepSwapAI states one product-wide rule for generation media: uploads and generated media are removed from its servers within 24 hours and are not used to train AI models. Account, order, credit, fraud-prevention, accounting, dispute, security, and legal records can follow separate retention requirements described in its Privacy Policy.
Direct answers
Yes, for custom photo, batch photo, mapped group-photo, video, and GIF face swap. It is not a replacement for Magic Hour's broader image, video, audio, template, and API suite.
Yes. DeepSwapAI uses one-time credit packages and has no required subscription. Magic Hour advertises a no-sign-up photo route and also sells one-time credit packs alongside recurring plans.
Magic Hour currently advertises no watermark on free photo swaps. A DeepSwapAI trial image intentionally includes DeepSwapAI.com and the account's 100% complete email address. Every character remains visible; it is never masked, shortened, hashed, or omitted. Paying changes only future DeepSwapAI image exports.
This source review does not establish that. No controlled cross-product test set was run. Test the exact permitted media and inspect the output at the resolution and entitlement you intend to use.
Official sources reviewed
Magic Hour and its marks belong to their respective owners. DeepSwapAI is not affiliated with or endorsed by Magic Hour. Features, prices, and policies can change after the review date.
Use one representative permitted file, review the exact DeepSwapAI cost and complete-email trial image disclosure, and compare the actual output before scaling.
