AI face swap tools in 2026: an eight-platform documentation audit

We checked current official pages for Magic Hour, Higgsfield, Remaker, DeepSwap, Pixlr, Reface, Pica AI, and Akool on September 28–29, 2026. Magic Hour publishes this research and appears in the sample. We have not run the same input through all eight tools, so no output-quality ranking or winner is claimed.

What the eight-platform audit found

7 of 8 selected platforms documented both photo and video face swapping on their product pages. Pixlr's dedicated face-swap page documents a photo workflow; its homepage advertises video face swap, but we did not verify a separate video upload-and-export path. This is a purposive sample, not a market-share estimate. At least three—Magic Hour, Remaker, and Akool—publish a face-swap API reference we identified. We did not audit API availability for the other five, so ‘not assessed’ does not mean ‘no API.’

The useful distinction is the route to a finished asset. A guest tool can offer a small daily allowance; another interface can show a credit cost at the button; another requires an account or subscription. Marketing labels such as “free” do not establish whether a user can download a usable, watermark-free output. Check the current product screen for the exact job before comparing plans.

The media and access columns describe what each vendor currently documents, not what we independently generated. The API column only names public face-swap documentation found in this audit. Open the linked official source for current plan details.

Pixlr source distinction: its dedicated Face Swap tool shows a photo upload and PNG download, while its homepage advertises Face Swap Video. We did not test that video path, so it is not counted as documented end-to-end video support here.

What this means for a buyer

For a one-off photo: start with the live upload and download flow. Magic Hour documents a no-signup guest photo route with a daily allowance and no watermark. Pixlr's photo swap button shows a two-credit action inside a broader editor. Those statements describe two access paths, not comparative image quality.

For video: test the actual length, resolution, watermark, face mapping, and export. Remaker's current video page displays a one-credit-per-second meter; its separate multi-face workflow matters when several people appear. DeepSwap's official upload page accepts video, photo, and GIF and describes choosing detected faces. The displayed checkout and result can differ by plan, region, and input.

For developers: use an endpoint reference rather than assuming a consumer tool has the same API behavior. We found published face-swap API materials for Magic Hour, Remaker, and Akool. Compare required input shape, async status, delivered file lifetime, and pricing for your exact volume.

A better price comparison: cost per accepted result

A plan price or credit price alone misses retries. Define one job first—for example, one ten-second clip with two people, a downloaded file at your required resolution, and no visible identity drift. For each tool record the displayed charge, number of attempts, failed jobs, watermark or export restrictions, and whether the output passes full-resolution review. Divide total credits or dollars spent by accepted outputs. We have not run this controlled eight-tool test, so we do not publish a cost or quality leaderboard.

Method and limits

Selection: eight recognizable platforms relevant to photo or video face-swap readers, deliberately including dedicated apps and broader creative suites. This is not a random sample. Starting from our larger competitor inventory, a primary-category filter yielded 16 face-swap entries; feature flags suggested 59 possible photo or video face-swap providers. Neither number is a verified count of the market, and neither is used as this report's denominator. The denominator for the finding above is the eight providers whose official pages we checked. The 7-of-8 result requires a dedicated product page or interface documentation for both media types; a homepage claim alone does not qualify.

Evidence: current vendor product, help, and API pages, checked September 28–29, 2026. The table separates an observed official claim from a hands-on test. We did not create accounts, submit consented media, verify checkout for every plan, test output quality, or independently verify vendor privacy claims. Pricing, limits, models, and policy terms can change; follow the official source before purchase or production integration.

We intentionally exclude local/open-source stacks from the eight-platform statistic because installation, licensing, hardware, and output workflows are not comparable to browser products. For those options, see our face-swap software guide. For a task-oriented shortlist, see the eight-tool face-swap comparison.

Official source trail

Magic Hour: product or help page · face-swap API

Higgsfield: product or help page

Remaker AI: product or help page · face-swap API

DeepSwap: product or help page

Pixlr: product or help page

Reface: product or help page

Pica AI: product or help page

Akool: product or help page · face-swap API

What we will measure next

A stronger second edition will use the same consented source faces and target clips, fixed task definitions, recorded settings, every attempt and failure, observed charges, and representative downloadable outputs. The acceptance criteria will include identity stability, occlusion, multi-face mapping, resolution, and a usable export. Until that work is complete, this article remains a documentation audit.