FaceSwapper

FaceSwapper is a browser-based synthetic-media tool for photo, video and GIF face swapping. The current product supports single- and multi-face workflows, batch face swap, gender swap and Wan 2.5 video generation. Video uploads accept MP4/MOV up to 30 MB, and the current video workflow states a cost of 1 credit per 5 seconds. ¹

The experience is intentionally low-friction: the current surface advertises two free generations per day, no sign-up for free use, HD output and no watermark. That accessibility is a strength for casual creators, but watermark-free output also removes a basic visible synthetic-media provenance cue. ¹

The current live pricing page describes Premium as a one-off payment / credit-purchase model and explicitly says there is no subscription. However, the retrieved page does not expose stable monetary bundle amounts, so this review does not invent or import a paid price from third-party sources. ²

That current page conflicts with FaceSwapper's September 2025 Terms, which still describe monthly or annual subscriptions and automatic renewal. Because the live product surface and contractual language disagree, buyers should verify the checkout terms at purchase time; the review preserves the conflict rather than forcing a single pricing model. ²³

The complete fixed 50-source panel produced no sufficiently attributable current numeric external rating family for the exact faceswapper.art product. Several inaccessible sources were recorded as inaccessible, and all other exact-domain panel searches returned no relevant attributable result. Missing evidence is not scored as a negative.

FaceSwapper's first-party trust claims are materially inconsistent across surfaces. The homepage says uploaded video/face data are not stored after processing, are not used for AI training and are not shared with third parties. The current September 2025 Privacy Policy, however, says personal information may be transmitted, stored and processed to provide and improve services, may be shared with service providers, advertisers, partners and affiliates under stated bases, may be transferred globally, and can be retained for purpose-based periods with longer retention in some complaint or litigation cases. The Privacy Policy therefore governs more broadly than the homepage marketing claim and the conflict should be treated explicitly. ¹⁴

The September 2025 Terms require users to hold rights to uploaded/generated content and prohibit infringement of privacy and portrait rights. They also prohibit adult-entertainment content, harm or inappropriate exposure involving minors, fraud, bullying and other unlawful or abusive uses. The age language is not a simple universal 18+ rule: the Terms refer to adults/full-capacity users, certain financially independent 16+ users and guardian involvement for minor recharge. ³

A separate concern is the user-content license. The Terms describe a broad free, non-exclusive, permanent, transferable and irrevocable worldwide license for uploaded/created content. That sits awkwardly beside the homepage's strong no-storage/no-sharing positioning and is a meaningful governance caution for identifiable-person media. No hard per-likeness consent verification gate or interoperable provenance/content-credential guarantee was verified. ³¹

Independent exact-domain evidence remains thin. ScamDoc's February 2026 automated domain-reputation check gives faceswapper.art a low 25% confidence signal, mainly because the domain was young and WHOIS ownership was hidden. This is domain-risk context only, not evidence of swap quality or of a scam finding, and it is not used as a numeric product-rating input. ⁵

FaceSwapper is best suited to consumers and social-content creators who want quick browser-based photo/video/GIF swaps and adjacent AI-video effects without installing editing software. The free allowance, simple workflow and one-off-credit positioning make experimentation easy. ¹²

It is less suitable for organizations handling sensitive real-person likenesses, teams that need unambiguous retention and data-sharing commitments, or workflows requiring strong provenance, auditable consent enforcement or enterprise governance. Users working with identifiable people should maintain their own rights and consent records rather than assume the platform verifies them. ⁴³