creative

Best AI Face Swap Apps

The best AI face swap apps in 2026 — Magic Hour, Google Gemini, DeepSwap, Akool, Vidnoz, Reface and FaceFusion compared on quality, video length, pricing and safeguards, plus what the law now requires and why 70% of these apps have no safety filter.

Updated September 2026

Quick answer: The best all-round AI face swap tool in 2026 is Magic Hour, which handles photos, video, GIFs and multiple faces in one place, gives every new account 400 credits that never expire, and does not watermark photo downloads. For the most convincing single-image identity edit, Google Gemini running the Nano Banana Pro image model is the strongest free route, because it keeps a face consistent across edits rather than pasting one face onto another. DeepSwap is the pick for long video, Akool for marketing teams running personalised video at scale, and FaceFusion for anyone who needs the work to stay on their own machine. One caveat governs the whole category, and it is not a small one: a systematic audit of 155 face swap apps published in May 2026 found that 70% had no technical safeguard against generating nude images (arXiv 2605.24735), and swapping a real person’s face onto intimate content without consent is now a criminal offence in the UK and a federal offence to publish in the United States. We rank on quality, price and safeguards together, and we do not rank tools whose main market is non-consensual imagery.

The current state of AI face swapping: September 2026

Face swapping stopped being a novelty app category in 2026 and became a regulated one.

The technology itself improved in a specific direction. Until recently, a face swap meant a dedicated identity-transfer model pasting one face onto a target frame, with the tell-tale seam around the jaw and hairline that made most swaps obvious at full resolution. In 2026 the strongest results come from general-purpose image models instead: Google’s Nano Banana Pro, released on 20 November 2025 as an upgrade to Gemini’s image editing, was built specifically to hold a person’s likeness steady across successive edits (blog.google). That is a different technique with a different failure mode, and it is why the best single-image results in this category now come from a tool that is not sold as a face swap app at all.

The regulatory picture changed faster than the technology. Four dates matter:

• 19 May 2026 — the platform duty in the US TAKE IT DOWN Act became enforceable, one year after the Act was signed on 19 May 2025. Covered platforms must run a removal process and take down reported non-consensual intimate imagery, including AI-generated “digital forgeries”, within 48 hours. The FTC began enforcing it the same day, with civil penalty exposure of $53,088 per violation (FTC), and sent warning letters to 12 “nudify” websites saying they appeared to be in violation for failing to offer victims a removal process (FTC).
• 29 June 2026 — the UK’s Crime and Policing Act 2026 commenced section 99, which makes it an offence to make, adapt, supply or offer to supply a tool designed to produce non-consensual intimate images (legislation.gov.uk). Creating such an image, or asking someone else to create one, had already become an offence on 6 February 2026 under the Data (Use and Access) Act 2025 (legislation.gov.uk).
• 2 August 2026 — Article 50 of the EU AI Act became applicable. Anyone who deploys an AI system to create a deepfake must disclose that the content is artificially generated or manipulated, clearly and at the latest at the point of first exposure (artificialintelligenceact.eu). The Digital Omnibus delayed the AI Act’s high-risk deadlines to 2027 and 2028 without moving Article 50’s application date, though generative systems placed on the market before 2 August 2026 have until 2 December 2026 to meet the machine-readable marking requirement (Gibson Dunn).
• 17 July 2026 — the San Francisco City Attorney sent cease-and-desist letters to Apple and Google naming 13 face swap and “nudify” apps across the two stores, giving them 28 days to remove the apps and stop taking a cut of the payments. Apple removed three and terminated those developer accounts; Google suspended all five of the apps named on Play and restricted store search terms such as “nudify” (TechCrunch).

The consequence for a buyer is that the questions worth asking about a face swap tool in 2026 are not only about output quality. They are about whether the tool has a safety filter, whether it says anything about consent, whether it labels its output, and whether it will still be in the App Store next month.

Best AI face swap apps ranked (2026)

We rank on output quality first, then video capability, pricing transparency, commercial rights and documented safeguards. “Best for” reflects each tool’s standout strength; see the use-case section for head-to-head picks.

Prices in USD, as of 9 September 2026. Vendor pricing pages could not be read directly this run, so figures come from third-party sources with every vendor page linked below. Treat them as indicative and confirm before you buy: much of the published writing on this category is affiliate content that copies itself, so sources agreeing is not the same as independent confirmation. Where sources disagree materially we say so rather than pick one.

The tools in depth

1. Magic Hour — best overall

Magic Hour is the most complete face swap product for someone who does not know in advance whether the job is a photo, a video or a GIF. It handles all three, supports multiple faces in one frame, and exposes an API, which very few consumer tools in this category do.

The free tier is unusually generous in a specific way that matters. New accounts get 400 credits with no expiry date, and unused credits roll over rather than evaporating at the end of a billing month (Magic Hour). Free output is capped at 576px, and free video and GIF exports carry a watermark although free photo downloads do not. Commercial rights require a paid plan. Magic Hour’s live pricing page gives the Creator plan as $12 per month billed annually; an older post on Magic Hour’s own blog says $10 with 120,000 credits a year. Treat the lower figure as stale, and note that a vendor blog is not an independent source.

The credit-expiry point is worth dwelling on, because it is the single largest hidden cost in this category. Most competitors reset unused credits every month, which means the effective price of an occasional swap is far higher than the headline monthly figure suggests.

Choose it if: you want one tool for photo and video swaps, and you swap irregularly rather than every day.

Skip it if: you need output above 576px without paying, or you need a mobile app rather than a browser tool.

2. Google Gemini (Nano Banana Pro) — most convincing single-image result

Gemini is not marketed as a face swap app and has no button called Face Swap. It is nonetheless the strongest tool on this page for putting a real person into a different image, because the Nano Banana Pro model released on 20 November 2025 was built around keeping a person’s likeness consistent while the rest of the image changes — changing outfits, blending two photos, or applying the style of one image to another (blog.google).

That difference in approach shows up in the output. A dedicated face swap model transfers a face region onto a target and has to reconcile lighting, skin tone and edge geometry at the boundary. An image model that has been trained to preserve identity regenerates the whole frame with the person in it, so there is no boundary to give the game away.

Two practical limits. Gemini does not do video face swaps, so anything moving needs a different tool. And Google’s generated images carry SynthID watermarking, which is a feature rather than a flaw for legitimate work but does mean the output is identifiable as AI-generated — see our guide to AI watermarking for how that works in practice.

Choose it if: the job is a still image and you care about realism more than convenience.

Skip it if: you need video, batch processing, or a tool that will run offline.

3. DeepSwap — best for long video swaps

DeepSwap is the tool most often named for video work, and its differentiator is claimed duration, although the sources conflict on it: some third parties describe the $9.99 plan as supporting 10-minute videos and others describe the same plan as supporting 30 minutes. Up to six faces in a single frame is reported consistently.

Its pricing is the least clear on this page and we are not going to pretend otherwise. Entry pricing is reported at $9.99 per month, but the credit allowance attached to that figure is given as 20 credits by one source and 100 by another, and a $49.99 annual plan appears in reviews described as a first-year promotional rate rather than a standing price. The credit figure matters more than the duration claim: at a reported 1 credit per 15 seconds of video, 20 credits is about five minutes of output per month, which makes a 30-minute per-video ceiling academic (Capterra, SpotSaaS). Check DeepSwap’s own pricing page before subscribing, and treat any third-party credit figure for this vendor as unreliable.

DeepSwap also sits closer to the edge of this category than the tools above it. Its marketing includes adult-adjacent generation features, and buyers who need a defensible tool for client work should weigh that.

Choose it if: you need a swap that holds up across minutes of video rather than seconds.

Skip it if: you need pricing you can forecast, or you are buying for an organisation that will audit the vendor.

4. Akool — best for marketing teams at scale

Akool is built for organisations rather than individuals. It bundles face swap with AI avatars, talking photos and live avatar tools, and sells campaign-level features aimed at personalising video for large audiences.

Pricing is credit-metered and steep at the top: Pro at $30 per month for 600 credits, Pro Max at $119 for 2,400 credits with output up to 8K, and Business at $500 for 12,000 credits, with roughly 30% off for annual billing (Vidmetoo). Two details decide whether that is good value. Face swap video burns credits faster than avatar video — reviewers put talking photos at 4K at four times the avatar rate and face swap video at roughly twice that again — and unused credits expire at renewal. Each additional seat costs the full plan price.

Akool is the only tool on this page whose published content moderation policy places the disclosure duty explicitly on the user, including where media has been substantially modified by face swap or voice cloning (Akool). That policy was last updated on 18 March 2025, so it predates the EU’s Article 50 disclosure duty rather than responding to it.

Choose it if: you are personalising video for a campaign and need seats, API access and an audit trail.

Skip it if: you swap occasionally — the credit expiry makes light use expensive.

5. Vidnoz — best free daily allowance for video

Vidnoz gives away more video face swapping than anything else here: 60 credits per day on the free tier, with photo swaps, video swaps and multiple face swaps all available without payment. Vidnoz advertises 1080p and video lengths up to 50 minutes, but 1080p sits behind an HD toggle, reviewers report free output at 720p with a watermark, and the 100MB upload cap means the 50-minute figure is not reachable in practice (Vidnoz).

Its paid pricing we are recording as data not available. Independent sources give entry pricing variously at $9.99, $14.99 and $19.99 per month, one third-party snapshot puts Starter at $26.99 monthly or $19.99 annually, and none agree on what face swapping specifically costs, because Vidnoz does not price it as a separate product — it draws on the same credit pool as the avatar and talking-photo tools. We would rather leave the figure blank than publish one of two numbers that disagree by 50%.

Vidnoz publishes a moderation policy requiring “the explicit consent of the individual being represented”, giving that person a standing right to demand removal of their likeness, and setting out an escalation path from content removal through account suspension to referral to legal authorities. Read the document carefully, though: that consent clause sits in the section governing custom avatars rather than face swap, and the policy separately bans celebrity portraits outright.

Choose it if: you want to try video face swapping properly before paying anything.

Skip it if: you need to budget the cost in advance.

6. Reface — best mobile app

Reface is the best-known consumer face swap app, with more than 100 million installs recorded on Google Play alone. A figure of 300 million downloads across both stores circulates widely, but it appears word-for-word across unrelated content-farm sites and we could not trace it to a primary source, so we are not repeating it as fact. It is template-driven: the core experience is putting your face into an existing clip, GIF or scene rather than compositing two arbitrary images, which makes it the easiest tool here and the least flexible.

Pricing is reported at $3.99 and $2.49 per week, $12.99 per month, and $24.99 per year, and the app defaults to promoting the weekly plan (Fritz AI). We are labelling these as reported rather than verified — mobile subscription pricing varies by store and region, and the annual figure is the only one that represents sensible value. The free tier carries ads and watermarks.

Choose it if: you want a fun, fast mobile swap and you are working from templates.

Skip it if: you need control, resolution, or a predictable subscription — the weekly default catches people out.

7. OpenAI’s Sora likeness feature — the consent-gated alternative

OpenAI’s approach in Sora 2 is the outlier in this category and is worth understanding even if you never use it, because it is the design every regulator is implicitly asking for.

You cannot upload a photograph of somebody else and generate video of them. A person has to enrol their own likeness through a live verification step — a one-time in-app video and audio recording in which they turn their head and read a randomised number sequence — and then controls who may use it and can revoke it and delete any video containing it. Outputs carry C2PA provenance metadata, and downloads from the app carry a visible moving watermark. Consent is the gate, not a term in a policy document.

The feature is now called Characters. It was renamed after 14 February 2026, when Judge Eumi K. Lee in the Northern District of California granted the celebrity-video company Cameo a preliminary injunction barring OpenAI from using the word “Cameo” for it. This is an interim trademark ruling rather than a decision on the merits, and OpenAI is contesting it (TechCrunch). Separately, after Sora 2’s launch produced unconsented video of the actor Bryan Cranston, OpenAI agreed with SAG-AFTRA and the major talent agencies that voice and likeness use in Sora 2 is opt-in only (SAG-AFTRA).

Choose it if: you want yourself, or a colleague who has agreed to it, in generated video with a documented consent trail.

Skip it if: you need to swap a face in footage you already have — this is generation, not editing.

8. FaceFusion — best offline and self-hosted

FaceFusion is the open-source option that community consensus settles on, and the reason to use it is privacy: nothing leaves your machine, there is no upload, no watermark and no subscription.

There is a licensing trap that almost every roundup of open-source face swap tools gets wrong, and it matters if you are doing paid work. FaceFusion is frequently described as MIT-licensed; it is not. It moved to the OpenRAIL-AS licence in 2025, which carries use-based restrictions (FaceFusion). The models are more restricted still: InsightFace’s inswapper, the component most commonly doing the actual swap, is released for non-commercial research only and needs a paid licence from InsightFace for commercial work (InsightFace), and FaceFusion’s own licence documentation marks ArcFace, RetinaFace, SCRFD, SimSwap, GPEN and Wav2Lip non-commercial as well. A commercial FaceFusion pipeline is a good deal more constrained than the word “open source” suggests.

Choose it if: the images are sensitive, you have a capable GPU, and you are comfortable with a command line or a local GUI.

Skip it if: you need a clean commercial licence you can point a client at, or you want it to work in five minutes.

What we deliberately do not rank

We do not rank tools whose primary market is generating nude or sexual images of real people, and we do not name them, because naming them is a referral. That is not a squeamishness about adult content; it is that the entire documented harm in this category runs through those products, and every enforcement action of the last 18 months has targeted them.

We also do not rank the long tail of near-identical browser “free face swap” sites. Most are affiliate fronts for the tools above or thin wrappers around the same open-source model, and the audit discussed below is the reason to be careful with them.

Grok Imagine: the cautionary case

Anyone researching AI face swapping in 2026 will run into Grok, so here is the record, in order.

The image editing feature on X rolled out on 24 December 2025. Within days it was being used at scale to produce sexualised images of real people from ordinary uploaded photographs. On 9 January 2026 X restricted image generation to paying subscribers (TechCrunch), a measure that did not initially cover the standalone Grok app. By 14 January 2026 xAI said it had blocked editing real people into revealing clothing, though it framed the block as applying where such images are illegal rather than globally, and journalists reproduced such edits after the change (CNN).

What followed is the most consequential litigation in this category:

• 14 January 2026 — California’s Attorney General opened an investigation; a cease-and-desist letter followed on 16 January 2026 (California DOJ).
• 26 March 2026 — the Amsterdam District Court ordered xAI, X Corp and X Internet Unlimited Company to stop generating or distributing imagery in which people are stripped naked without explicit permission in the Netherlands, on penalty of €100,000 per day per entity, capped at €10 million per entity across the three (Tech Policy Press).
• 4 September 2026 — a federal judge in Minnesota denied xAI a preliminary injunction against that state’s HF 1606, which since 1 August 2026 has banned operators and developers from allowing users to create fake nude images of identifiable people. The court found xAI had not shown irreparable harm and did not reach the First Amendment question, so the ban stands while the case proceeds (NBC News).

Grok Imagine has no feature labelled face swap; identity edits happen through free-text prompts on a general image-editing endpoint. That is precisely why it became the test case. A general-purpose editor with no identity-specific guardrail is a face swap tool whether or not anyone at the company decided to build one, and Minnesota’s law — the first in the US to regulate the tool rather than the output — is the regulatory answer to that.

What the independent research actually found

This is the most useful thing on this page and it appears on almost no competing comparison.

In May 2026, researchers identified and downloaded 420 face swap apps and manually tested the 155 that were eligible. The findings (arXiv 2605.24735):

The paper adds one finding that matters more than any of those rows: neither provision correlated with actual safety. Apps with a consent clause or a prohibited-use clause were no more likely to have a technical safeguard than apps with neither. A consent requirement in the terms predicts nothing about what the app will let you do.

Read those four rows together and the picture is clear. The category does not divide neatly into legitimate face swap apps and abusive nudify apps. Most apps in the middle simply have no filter, no consent clause, and no self-description that would tell a user or an app store reviewer what they can do.

We also looked for an independent test of face swap output quality across commercial tools, of the kind that exists for AI detectors and for speech synthesis. There is not one. Every “tested and ranked” face swap comparison currently ranking is scoring its own examples, usually behind affiliate links, and the academic literature benchmarks research models rather than the products people actually buy. That gap is why this page ranks on capability, price structure and safeguards, which are verifiable, rather than publishing a realism score we cannot substantiate.

Finally, on the vendors’ own consent rules: several of the tools above do require consent in their terms, and Vidnoz and Akool both state it in published policies. We could not find a single documented case of a face swap vendor publicly enforcing its own consent clause against a user — no published bans, no suits, no transparency reporting. Every enforcement action we could verify came from outside: app stores, regulators, attorneys general and courts.

Feature and pricing comparison

As of 9 September 2026. “Data not available” means we could not verify a figure this run and would rather leave it blank than repeat an unverified one. Vendor pricing pages could not be read directly, and Akool and Vidnoz both hide their prices from crawlers, so figures for those two are the least reliable here. Material conflicts are stated in the tool sections.

Best AI face swap app for each need

Best overall

Magic Hour. Photos, video, GIFs and multiple faces in one tool, 400 non-expiring credits to start, and no watermark on photo downloads.

Best for a single realistic still image

Google Gemini with Nano Banana Pro. Identity preservation across a regenerated frame beats region-based swapping, and there is no seam to spot.

Best for long video

DeepSwap, on reported support for 10 to 30 minute clips and up to six faces. Verify the price yourself before subscribing.

Best for marketing teams

Akool, for seats, API access, 4K output and a published moderation policy — provided you can absorb monthly credit expiry.

Best free option

Vidnoz for video, at 60 credits a day, and Magic Hour for photos, because its free credits do not expire.

Best mobile app

Reface. Choose the annual plan; the app pushes weekly billing by default.

Best for privacy

FaceFusion, run locally, with nothing uploaded. Check both the software licence and the model licences before any commercial use — neither is permissive.

Best consent model

OpenAI’s Sora likeness feature, which requires live verification from the person depicted and lets them revoke it. It is the only tool here where consent is enforced by the software rather than requested in a policy.

What to be most careful with

Any free browser face swap site you have not heard of. Seven in ten apps in this category have no safety filter, and you are uploading a photograph of an identifiable person’s face to a server you know nothing about.

Is AI face swapping legal?

Face swapping itself is lawful in the US, the UK and the EU. What is regulated is whose face you use, what you make them appear to do, and whether you disclose it. This is a summary, not legal advice, and it is current as of 9 September 2026.

Three things are commonly reported as settled law and are not:

• The NO FAKES Act has not passed. The 2026 version, S.4591, was advanced out of the Senate Judiciary Committee on a unanimous voice vote on 18 June 2026 (Holland & Knight). It has not passed either chamber, and there has been no House floor action.
• Denmark has not given people copyright in their own likeness. A cross-party agreement was announced on 26 June 2025 and a draft bill creating a new neighbouring right was published on 7 July 2025, with consultation closing on 21 August 2025. The target commencement of 31 March 2026 then slipped: the bill was notified to the European Commission under the TRIS process, and in March 2026 the Commission returned comments questioning its alignment with EU copyright objectives and the AI Act. A snap election held on 24 March 2026 added further delay. As of the Commission’s intervention the bill had not been adopted, and we found no record of a Folketing vote since. Treat it as pending (EPRS briefing).
• California’s election-deepfake laws are enjoined. Judge John A. Mendez struck AB 2655 on Section 230 preemption grounds on 20 August 2025 and permanently enjoined AB 2839 on First Amendment grounds on 29 August 2025. Briefing on appeal completed in March 2026 and the Ninth Circuit had issued no decision as of September 2026 (Tech Policy Press).

The EU’s disclosure duty has one qualification worth knowing, and it is not an exemption. Where a deepfake forms part of an evidently artistic, creative, satirical or fictional work, disclosure is still required, but it may be made in a manner that does not hamper the display or enjoyment of the work — in accompanying material, for instance. The Commission’s final guidelines, adopted on 20 July 2026, are explicit that this does not extend to ordinary commercial or corporate communications (Bird & Bird). A satirical short film and an advertisement are treated differently.

Watermarking, provenance and disclosure

Because disclosure is now a legal duty in the EU and a platform requirement nearly everywhere, it helps to know which tools mark their output.

Google marks Gemini images with SynthID. OpenAI attaches C2PA provenance metadata to Sora video, with a visible moving watermark on app downloads. Most dedicated face swap tools watermark free-tier output as a monetisation device and remove it when you pay, which is the opposite of a provenance signal — a paid watermark-free export carries no disclosure at all.

The European AI Office published the final Code of Practice on Transparency of AI-generated Content on 10 June 2026, with around 190 signatories by the end of July; it recommends digitally signed C2PA-style metadata alongside imperceptible watermarking, on the assumption that any single mark can be stripped (European Commission). If you publish a face swap in the EU, the practical answer is to label it in the post, not to rely on the tool’s metadata surviving an upload. Our guide to AI watermarking covers how durable these marks actually are, and the tools that try to spot manipulated video and audio after the fact are a separate category, covered in best deepfake detectors.

How to use a face swap tool without creating a problem

1. Get consent, and keep it. A message from the person saying yes, with a date, is the whole of your defence if it is ever questioned. Consent to one use is not consent to another.
2. Never swap a face onto sexual or intimate content. This is criminal in the UK, criminal to publish in the US, and actionable in most states, regardless of who made the tool.
3. Do not put words in a real person’s mouth. A convincing swap plus a fabricated statement is defamation before it is anything else, and it is the fact pattern behind most likeness litigation.
4. Label it. Required in the EU from 2 August 2026, required in New York advertising from 9 June 2026, and required by TikTok’s synthetic media policy for realistic content anywhere.
5. Check where the file goes. You are uploading biometric data. Prefer a tool that states in writing that it deletes uploads and does not train on them, or run FaceFusion locally so the question does not arise.
6. Read the model licence, not just the app licence. Open-source face swap projects are routinely described as permissively licensed when they are not, and the models doing the actual work are frequently restricted to non-commercial research.
7. Do not rely on a free browser tool for anything sensitive. Seven in ten apps in this category had no safety filter when they were audited in May 2026, which tells you what kind of engineering attention the rest of the product has had.

How we rank

We rank face swap tools on what determines whether the job gets done and stays out of trouble: output quality for stills and for video, maximum video duration, multi-face support, the real cost including credit-expiry behaviour, commercial rights, and documented safeguards and consent policy. We could not read vendor pricing pages directly this run, so prices come from third-party sources with every vendor page linked so you can check. That is a real weakness and we would rather name it than dress it up: much of the published writing about this category is affiliate content that reproduces the same sentences, so agreement between sources is not always independent confirmation. Where sources conflict materially we publish the conflict instead of choosing, and Akool and Vidnoz both hide their prices from crawlers, which is why several figures for those two are marked unavailable. Any figure we cannot verify is marked “data not available” rather than filled in. We do not rank tools whose primary market is non-consensual imagery, and we take no affiliate revenue from anything on this page. This page is re-scored monthly; the date at the top is the last full pass.

Frequently asked questions

What is the best AI face swap app in 2026?

Magic Hour is the best all-round choice, because it handles photos, video, GIFs and multiple faces in one tool, gives new accounts 400 credits that never expire, and does not watermark photo downloads. For a single still image where realism matters most, Google Gemini running the Nano Banana Pro model produces better results than any dedicated face swap tool, because it preserves a person’s likeness across a regenerated image rather than pasting one face onto another.

What is the best free AI face swap tool?

For video, Vidnoz gives the largest free allowance at 60 credits per day, with multiple face swaps included, although free output is reported at 720p with a watermark rather than the advertised 1080p. For photos, Magic Hour is better value because its 400 free credits have no expiry date, though free output is capped at 576px and carries a watermark. Google Gemini’s free tier will also do single-image identity edits within its usage quota.

Is AI face swapping legal?

Face swapping is legal in itself in the US, the UK and the EU, but three uses are not. Creating a non-consensual intimate image is a criminal offence in the UK as of 6 February 2026 and publishing one is a federal crime in the US under the TAKE IT DOWN Act. Using someone’s likeness commercially without permission is actionable under state right-of-publicity law. And since 2 August 2026, Article 50 of the EU AI Act requires anyone deploying an AI system to create a deepfake to disclose that the content is artificially generated. This is a summary and not legal advice.

Do I need permission to swap someone’s face?

Yes, in practice. Several tools require it in their terms — Vidnoz and Akool both state it in published policies — and the law requires it for intimate content everywhere and for commercial use in most US states. A systematic audit published in May 2026 found only 38 of the face swap apps it tested had any consent provision in their terms at all, so the absence of a consent requirement in an app tells you nothing about your legal position.

Are AI face swap apps safe to use?

The apps in this comparison are established products, but the category as a whole is not safe by default. When researchers tested 155 face swap apps in May 2026, 70% had no technical safeguard against generating nude images, and most had no terms prohibiting harmful use. You are also uploading biometric data, so use a tool that commits in writing to deleting uploads and not training on them, or run FaceFusion locally instead.

Can ChatGPT or Gemini do a face swap?

Gemini can, and does it well: the Nano Banana Pro image model is designed to keep a person’s likeness consistent while editing everything around them, which is the best route to a realistic single-image result. ChatGPT is a different matter: OpenAI’s usage policies forbid non-consensual likeness use and its filters routinely refuse these requests, but that is a policy and classifier block rather than an absolute technical one. OpenAI’s approach in Sora is consent-gated instead — a person enrols their own likeness through a live verification step and can revoke it at any time.

What is the best open-source face swap tool?

FaceFusion, which runs locally, produces no watermark and costs nothing. The catch is licensing, and almost every roundup of open-source face swap tools gets it wrong. FaceFusion is not MIT-licensed — it moved to OpenRAIL-AS in 2025, which carries use-based restrictions — and several of the models it relies on, including InsightFace’s inswapper, are released for non-commercial research only and need a paid licence for commercial work.

How long a video can AI face swap handle?

It depends on the tool and the plan. DeepSwap is reported to support 10 minutes on entry plans and up to 30 minutes higher up, Akool caps face swap at 10 minutes on its Pro Max tier, although its general video tools go longer, and Vidnoz advertises up to 50 minutes, though its 100MB upload cap makes that unreachable in practice. Free tiers are much shorter everywhere, and locally run tools like FaceFusion are limited only by your hardware and patience.

Can face swaps be detected?

Sometimes, and less reliably than vendors claim. Detection of manipulated video is the weakest modality in synthetic media forensics — the best commercial video detector tested on Deepfake-Eval-2024, the largest in-the-wild benchmark, reached 78% accuracy. The paper does not measure a human baseline; its authors note only that no commercial model they tested reached 90%, which they take as the level human forensic analysts work at. Provenance signals such as C2PA metadata and Google’s SynthID are more dependable than after-the-fact classifiers, which is why regulators are pushing marking at the point of creation rather than detection later.

Why did Grok get into trouble over face swapping?

X’s image editing feature, rolled out on 24 December 2025, had no identity-specific guardrail, and within days was being used to produce sexualised images of real people from ordinary photographs. X restricted generation to paying subscribers on 9 January 2026 and blocked editing real people into revealing clothing by 14 January. The Amsterdam District Court then ordered xAI and two X entities to stop generating such imagery in the Netherlands on 26 March 2026, on penalty of €100,000 per day per entity, capped at €10 million each, and on 4 September 2026 a Minnesota federal judge refused to block that state’s law banning nudification tools while xAI’s challenge proceeds.

Is there an independent test of face swap quality?

No. We looked for one and could not find a published, independent comparison of output quality across commercial face swap products. Academic work benchmarks research models rather than the apps people buy, and every “tested and ranked” comparison currently ranking scores its own examples, usually behind affiliate links. The only systematic audit of this app category, published in May 2026, measures safety rather than quality.

Do face swap tools watermark their output?

Most watermark free output and remove the mark when you pay, which means the paid export carries no disclosure at all. The exceptions run the other way: Google marks Gemini images with SynthID regardless of plan, and OpenAI attaches C2PA provenance metadata to Sora video, with a visible moving watermark on app downloads. If you are publishing in the EU, label the post yourself rather than relying on metadata surviving an upload.

Conclusion: how to choose in September 2026

Pick on the format first. If the job is one still image and it has to look real, use Gemini. If it is video, and short, use Magic Hour; if it is video and long, DeepSwap, with the price checked yourself. If you are running personalised video for a campaign, Akool is the only tool here built for seats and audit trails. If the images are sensitive, run FaceFusion locally and read the model licence.

Then pick on the thing most comparisons in this category leave out. Seven in ten of these apps had no safety filter when they were last audited, almost none commit to enforcing consent, and the law changed underneath all of them in 2026 — a UK offence for supplying the tools, an EU duty to disclose the output, a US federal takedown duty with penalties per violation, and a Minnesota statute that survived its first constitutional challenge five days ago. The tools worth using are the ones that will still be in the store in six months, and that is now a question about their safeguards rather than their output.

For adjacent jobs, see our comparisons of the best AI photo editors, best AI headshot generators, best AI image generators and best AI video generators. For the other side of this technology — cloning a voice rather than a face — see best AI voice cloning.