AI Face Swap Tools in 2026: A Complete Comparison

Face swapping was, for most of the 2020s, a novelty category — a mobile app trick for putting your face on a movie poster. That’s no longer an accurate description of the space. By mid-2026, face-swap tooling has split into at least four distinct product categories serving very different users: quick browser-based swappers with no signup required, enterprise APIs billed by the credit for video-translation and marketing pipelines, full creative suites that bundle face swap alongside broader generation tooling, and one long-running open-source project that requires users to train their own model on local hardware. The ten tools below span all four categories, with pricing and features verified directly against each vendor’s own site where possible — several vendors load pricing tables via client-side JavaScript that didn’t render for direct verification, and those gaps are flagged rather than filled with guessed numbers.

Quick web tools: no account, fast turnaround

Magic Hour is built around speed and volume: its free tier allows five photo face swaps a day with no signup and no watermark, and paid tiers (Creator, Pro, Business) scale up to 4K output and multi-face mode for swapping every face in a group shot at once. Paid plans are billed in the SGD 21–132/month range depending on tier and billing cycle, with credit packs starting at $10 for 4,000 credits.

Remaker AI skips subscriptions entirely in favor of a pay-per-credit model — confirmed pricing on its own site runs from $5.99 for 200 credits up to $299 for 20,000, with credits that don’t expire. It leans on a large template and meme library rather than a polished dashboard.

FaceSwapper.ai targets the same no-friction niche — no account required, uploads reportedly auto-deleted within 48 hours — though its official pricing page wasn’t rendering a live table at the time of writing, so exact credit costs beyond the free tier should be treated as unconfirmed pending a direct check.

Reface is the mobile-first entry in this group, an iOS/Android app for swapping faces into GIFs and short video templates, part of a broader Reface Inc. app family. Its in-app pricing is region-based and didn’t surface on the public web pricing policy page, so specific subscription figures are best confirmed inside the app itself.

Enterprise and API-first platforms

HeyGen is the most thoroughly documented tool in this list: free tier is 3 videos/month capped at 1 minute each, and paid tiers run from Creator ($29/mo, 600 credits, 1080p) through Pro ($49/mo, 4K) to Business ($149/mo plus per-seat pricing, 60-minute videos). Direct video-to-video face swap is capped at 15 seconds per clip, but HeyGen’s broader draw is its 1,000+ avatar library and voice cloning across 175+ languages — face swap is one entry point into a much larger presenter-video product.

Akool plays a similar enterprise game from a different angle: face swap (4 credits/image, 10 credits per 10 seconds of video) sits alongside AI avatars and video translation across 155+ languages, aimed at teams integrating via API rather than individual creators clicking through a dashboard. Its tier structure (Free, Pro, Pro Max, Business, Enterprise) is confirmed, though exact monthly dollar figures per tier weren’t confirmable from the live pricing page at time of writing.

Full creative suites with face swap built in

Higgsfield treats face swap — including a “Face Swap Pro” mode — as one module inside a broader video-generation platform with its own camera-control and motion tooling, at reported annual-billed tiers from roughly $15 to $99/month (unconfirmed against a live pricing table; verify before quoting).

Pica AI takes a similar bundling approach around still images: face swap sits alongside AI headshots, photo restoration, and general image generation under one shared credit pool, with reported pricing starting free and scaling to roughly $9.99/month on paid tiers.

Uncutly fits the same bundled-suite pattern: it’s built around 24+ underlying generation models (including Seedance, Wan, and Kling variants), combining face swap with broader image and video generation on one platform. Pricing is credit-based — a Pro plan at $19.99/month includes roughly 13,600 monthly credits, with an unlimited-image Elite tier at $39.99/month, plus one-off credit packs.

Open source: DeepFaceLab

DeepFaceLab is the outlier on this list in every respect: it’s free, open-source (GPL-3.0) software rather than a cloud service, requiring a user to train their own model on a local NVIDIA GPU (or rented cloud GPU) instead of getting instant results from an upload. There’s no subscription fee — the real cost is compute time and technical setup. One fact worth stating plainly: the project’s GitHub repository was archived by its maintainer in November 2024 and is now read-only, meaning it’s no longer under active development from its original author, though the ~19,000-star codebase remains publicly downloadable and community forks continue to circulate.

How to actually choose

The right tool depends less on face-swap quality — most of the tools above have converged on broadly similar output fidelity — and more on three practical questions. First, what’s the output format? Photo-only tools (FaceSwapper.ai, Remaker AI) are cheaper and faster than video-capable ones, but won’t help if the deliverable is a clip. Second, who’s the end user? A marketing team generating localized presenter videos wants HeyGen or Akool’s API and language coverage; an individual creator wants a self-serve credit system with no per-seat pricing. Third, what does the platform’s content policy actually allow? Terms of service vary meaningfully across this list — most restrict output to standard marketing, social, and presenter-video use cases — so it’s worth checking the specifics before committing to a paid plan rather than finding out after a rejected upload.

Limitations and decision checks

A convincing face swap can lose identity cues across frames or unintentionally expose a real person. Work only with consenting adults, inspect the full-resolution result frame by frame, and remove uploaded references when the job is complete.