Deepfake Maker is a browser-based face swap and deepfake generator covering photos, videos and GIFs, with batch processing, AI image and video generation, and a credit-based one-time payment model.
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Deepfake Maker is a browser-based face swapping tool that does not soften what it is. The homepage headline presents it as a deepfake generator in plain words — "Deepfake Maker: Powerful Deepfake AI Generator" — the navigation bar carries a dedicated "Deepfake AI" entry, and the pitch underneath promises fast, easy and free deepfake AI online. The site says the system detects and replaces faces in photos, videos and GIFs automatically, promising realistic results in seconds without requiring technical skills. Around that core sits a broader creative suite: AI image generation, AI video generation, and a set of editing utilities that have nothing to do with faces.
The product is built for people with no technical background. Traditional face swapping meant training a model, assembling datasets and running local GPU jobs over hours or days. Here the entire operation is an upload, a preview and a download, billed by credits rather than by compute time. That accessibility is the actual product: the underlying techniques are not new, but packaging them so a phone browser can drive them in seconds is what changed.
That same accessibility is why this page devotes real space to consent and legality rather than treating them as boilerplate. A face swap tool is unusual among AI products in that its output is, by construction, an image of a real person doing something they did not do. Most uses are harmless — memes, birthday videos, film-poster jokes — but the harmful uses are severe and, since 2025, explicitly criminal in the United States when they involve intimate imagery. The sections below cover what the tool can do, what it costs, what its privacy policy actually promises, and precisely where its terms of service fall silent on the questions that matter most for this category.
The pricing model is unusual for this category and is worth understanding before you buy. All packages are billed as a one-time payment rather than a subscription, credits never expire, and one-time credit packs never auto-renew. For occasional users this is meaningfully better than a monthly plan, because unused credits stay in the account instead of expiring at the end of a billing cycle. Credits are consumed according to the feature you run — per generated image, per second of video, or per GIF frame — and your balance decreases only when a job begins. A GIF face swap is therefore priced by how many frames it spans, which makes short loops cheap and long ones surprisingly costly. The free tier includes the basic face swap model; the paid tier unlocks the advanced model, multi-face video and photo swapping, batch image swapping, the AI image and video generators, video effects and priority support, along with higher resolution and duration caps.
Two caveats matter. First, the specific package prices are rendered dynamically on the pricing page and could not be captured reliably, so this page describes the billing mechanism rather than quoting figures that might be wrong — check the live pricing table before purchasing. Third-party directory listings quote wildly inconsistent numbers, including several that describe the product as entirely free with no paid tier at all, which the official pricing page contradicts. Second, the refund position is clear but conditional: when a generation fails on the platform's side, credits are typically refunded to your balance automatically, though failures caused by policy violations or corrupted files are not refunded. In other words, a job rejected for violating the content rules costs you the credits regardless.
The most significant gap in this product is not technical but contractual, and it concerns consent. The only consent language on the site sits in a homepage FAQ, which advises users to always get consent from the people whose faces you are using, especially if you plan to publish the content, and to avoid impersonating others or creating misleading or harmful media. That is sensible advice, and it is to the operator's credit that it appears at all. But it appears in marketing copy, phrased as guidance, not in the binding terms of service. The terms themselves do prohibit a range of conduct — insulting or slandering others, infringing reputation and privacy, and spreading obscenity, pornography, gambling or violence — and they place full responsibility for created content on the user. What they do not do is address this category's defining risks. The terms say nothing at all about using someone's face without permission, nothing about celebrities or public figures, and nothing about minors. For a product whose entire function is placing one person's face onto another person's body, those omissions are conspicuous. An absent restriction is not a permission: your legal exposure is set by the law where you live, not by what the vendor forgot to prohibit.
The legal environment has moved sharply and users should know where it stands. The TAKE IT DOWN Act was signed into law on 19 May 2025, and the Federal Trade Commission began enforcing its Section 3 notice-and-removal requirements on 19 May 2026. It explicitly covers digital forgeries — images of people digitally created or altered using software, an app, or artificial intelligence — and obliges covered platforms to remove reported material within 48 hours. This is not an enforcement action against this particular site, and nothing here suggests one exists; it is the environment in which anyone using any face swap tool now operates. Non-consensual intimate imagery of a real, identifiable person is a federal crime in the United States whether the image is photographic or synthetic, and comparable rules are advancing in the EU and elsewhere. Beyond intimate imagery, ordinary likeness, defamation and publicity rights continue to apply to everything else.
Independent verification of the product itself is essentially absent. No listing or user rating could be found on Product Hunt, G2, Capterra or Trustpilot, and no authoritative technology publication appears to have reviewed or investigated it. What fills search results instead is a layer of AI-directory and aggregator pages whose descriptions contradict both each other and the official site — some declaring the tool completely free with no login and no watermarks, others quoting a freemium price that does not match the published one-time credit model. Those pages are vendor-submitted or rewritten promotional copy and are not treated as evidence here. The practical consequence for a prospective user is that no independent assessment of output quality, reliability or support responsiveness exists, and the free tier is therefore the only trustworthy way to evaluate it.
Privacy handling, by contrast, is the strongest part of the disclosure and deserves credit. Uploaded content is automatically deleted within 24 hours of processing, unless it is retained with your consent for troubleshooting. The policy states plainly that user data is not used for training AI models, and limits third-party sharing to cloud providers, payment processors, and law enforcement where legally required. The operating entity is named as VideoFaceSwap Inc, governed by Hong Kong law, with Standard Contractual Clauses for transfers out of the EEA and compliance stated with Hong Kong's Personal Data (Privacy) Ordinance. Those are meaningful commitments, more specific than many competitors offer. One gap remains: the policy declines to process data from children under 13, or under 16 in the EEA, but says nothing about facial data as a category. Nothing in the policy treats a face as biometric information or explains whether facial data receives any special handling. Under several privacy regimes facial geometry is sensitive biometric data with heightened obligations, so the silence is a real omission even though the 24-hour deletion rule mitigates much of the practical risk.
Finally, the ordinary technical limits apply. Output quality depends heavily on the resemblance in pose, lighting and resolution between source and target; video results can flicker between frames; and profiles, occlusions and unusual angles remain difficult. Resolution and duration ceilings are tied to your plan rather than fixed. And credits spent on a job that is rejected for a policy violation are not returned.
Partly. The site advertises basic face swapping without sign-up, and registered users can claim free credits. But the free tier is limited to the basic face swap model, while the advanced model, multi-face video swapping, batch processing and the AI image and video generators require a paid credit package. Claims circulating on third-party directory sites that the product is entirely free with no paid tier are contradicted by the official pricing page.
Yes — and this is the single most important thing to understand before using any tool in this category. The site's own FAQ asks you to obtain consent from anyone whose face you use, particularly for anything you publish. That the terms of service do not repeat this requirement does not make it optional; your obligations come from likeness, privacy and defamation law where you live, not from the vendor's rulebook. For anything published or commercial, get permission in a form you can produce later.
It depends entirely on what you make and of whom. Swapping your own face, a consenting friend's, or a fully synthetic character is generally fine. Creating intimate imagery of a real identifiable person without consent is a federal crime in the United States under the TAKE IT DOWN Act, which explicitly covers AI-generated depictions, and platforms must remove reported material within 48 hours. Beyond intimate imagery, using someone's likeness deceptively or commercially without permission can expose you to defamation, publicity-rights and fraud claims in most jurisdictions.
According to the privacy policy, uploaded content is deleted automatically within 24 hours of processing, with retention beyond that only for troubleshooting and only with your consent. The policy also states that data is not used to train AI models. Note the flip side: because the platform does not keep your material, its records cannot later help you prove that you had permission to use someone's face, so keep your own documentation.
The published terms do not address either case. There is no stated prohibition on using images of minors and no rule about celebrities or public figures. That silence should be read as a gap in the vendor's rules rather than as permission — the legal restrictions on both categories are severe and exist independently of what any platform's terms say. Sexualized imagery involving minors is criminal everywhere regardless of whether it is synthetic.
Credits are bought as one-time packages rather than a subscription and do not expire. Consumption depends on the operation: per generated image, per second of video, or per GIF frame. Your balance is only debited once a job actually begins. Specific package prices are rendered dynamically on the pricing page, so check the live table rather than relying on the varying figures quoted by third-party listings.
Usually, if the failure was the platform's fault — the site states that credits are typically auto-refunded to your balance in that case. However, jobs that fail because they violated the content policy, or because the uploaded file was corrupted, are not refunded. A rejected job therefore costs you credits.
The pricing page lists Web, Windows, Mac, iOS and Android as supported platforms, but no download links accompany that claim and no corresponding listing appears in the Apple App Store under either the product name or the operating company. In practice this is a website you can open in a phone browser. Since processing happens on the server, your device's capability does not affect output quality.
The terms of service name VideoFaceSwap Inc as the operating entity and specify Hong Kong law as governing. The privacy policy likewise describes the operator as a company based in Hong Kong. No physical address, founding date, team size or funding information is published on the site, and none could be verified from independent sources.
Look for the same artefacts you would check in your own output: skin tone or texture that changes at the jawline, edges that shimmer or flicker between video frames, lighting on the face that does not match the rest of the scene, teeth and eyes that lose detail, and unnatural behaviour where the head turns or something passes in front of the face. None of these is conclusive, and quality is improving quickly, so treat provenance as the stronger signal — who published it, where it first appeared, and whether any independent source corroborates it.
