8 best AI face swap tools: photos, video, batch and local options

For a complete first run, follow the Magic Hour video face-swap walkthrough. It takes you from source footage and a replacement face to reviewing the result.

If Akool is on your shortlist, our Akool AI review separates its face swap, avatars, translation, live-camera and API workflows before you compare outputs.

Best AI face swap tools: compare the actual workflow

This guide compares documented features and purchase constraints, checked September 10, 2026. Magic Hour publishes it and is included in the comparison. We have not run a new controlled quality benchmark across these eight tools; recommendations below are based on workflow fit.

For a detailed moving-footage comparison, see best face swap video apps. If your only requirement is a free photo export, see free AI face swap tools.

What official docs actually establish: our 11-platform source audit checks photo and video support, access and public API references against current vendor pages. It identifies a key limitation: 10 of 11 selected providers have product-page documentation for both photo and video face swap, while Pixlr's dedicated tool page documents photos and its homepage separately advertises video. No head-to-head output-quality ranking is claimed.

Compare cost per accepted result, not just plan price. Use the same consented source image and target clip, fixed duration and resolution, then record each attempt, displayed charge, export restriction and failure. Count only outputs that pass your full-resolution review. A monthly plan can look cheaper while retries or watermarks make the actual deliverable costlier.

1. Magic Hour: browser photo, video, and group swaps

Interface illustration retained from the earlier guide. Use the current tool and dated limits below when choosing a plan.

Magic Hour photo face swap takes an original image and a replacement-face photo. Guest access offers five attempts per day with watermark-free photo downloads. Video face swap accepts your own clip; its guest offer is three attempts per day, up to ten seconds at 480p, with a watermark.

For group footage, use Multiple Face Swap Video. It detects visible faces and lets you assign a different source face to each person. A batch of separate photos and several people inside one moving shot are different problems; choose the corresponding tool.

Magic Hour is a practical first choice when you want to try your own asset in a browser and continue into related editing. It does not make difficult footage automatically reliable: turns, occlusions, small faces, and motion blur still need review. Watch the entire downloaded clip before committing to a longer job.

Creator costs $19 monthly or $144/year; Pro costs $39 monthly or $300/year; Business costs $99 monthly or $792/year. Paid plans list watermark-free exports and commercial use. Generation costs and limits depend on the tool and settings, so a subscription is not an unlimited-output promise.

2. Higgsfield: a single-face workflow in a creative platform

Higgsfield's face-swap page provides an upload-and-replace workflow and examples. Its FAQ distinguishes free photo use from paid video access and says multiple faces cannot be swapped in one operation.

Consider it when you already use Higgsfield's creative tools and your task involves one subject. If two people need separate replacement faces in the same shot, confirm a suitable workflow before subscribing. Do not treat a platform's broader character-generation features as proof that its face-swap tool supports every group-video requirement.

3. Remaker: browser face swap with batch and multi-face routes

Remaker currently separates single-photo, multi-face, batch, video, multi-face video, and GIF workflows. Its free photo page advertises no signup and no watermark; other routes can require sign-in or credits. Start with the official face-swap page and open the exact route that matches your file.

Choose it when a browser workflow and batch or multi-face routing matter. Treat each route separately when checking upload limits, credits, retention, exports, and commercial terms. A free single-photo result does not establish the cost or limits of a longer video.

4. DeepSwap: uploaded video and multiple faces

DeepSwap advertises photo, GIF, and video input, including replacement of up to six faces in a video. That makes it a relevant candidate for a group scene.

Its site also publishes similarity, speed, and resolution claims. Those are vendor claims, not measurements from this guide. Before paying for a longer clip, evaluate identity through a head turn, check that each intended person is selected, and inspect the downloaded output. Confirm the actual duration, credit charge, and export entitlement in the chosen plan.

5. InsightFace: local developer controls and explicit model licensing

InsightFace is an open-source face-analysis project with a local Python package and Evaluation Studio GUI. Its current documentation includes image and video face-swap trials using a separately downloaded swap model. See the official repository.

Choose it when you can manage local installation, hardware and model files and need a developer-oriented workflow. The code is MIT-licensed, but InsightFace states that its supplied pretrained models are generally limited to non-commercial research; commercial use of the inswapper series requires separate licensing. Code and model rights must be checked independently.

6. Pixlr: photo swapping with editing nearby

Pixlr's face-swap interface accepts a face photo and a target photo or template, and describes downloading the result as PNG. It is a useful option for a still image that will also need cropping, layout, or other photo work.

The observed interface shows a two-credit run charge. Check the balance and offer available to your account. The photo workflow does not establish support for replacing faces throughout your own video; select a dedicated video tool for that job.

7. Reface: mobile entertainment workflows

Reface offers several creative products, including its mobile face-swap app. Consider the specific app for entertainment clips and templates rather than assuming every Reface-branded product has the same upload and export features.

If you want to use a video you recorded, check that custom upload is supported before purchasing. Also compare the complete billing period: a weekly subscription and a monthly subscription cannot be compared by their headline numbers alone. Store prices and offers can vary by country and platform.

8. FaceFusion: local controls and batch processing

FaceFusion's documentation describes installation, local execution, headless use, and batch commands. A browser-style interface does not make it a hosted subscription service. It is a relevant option when you want control over execution and can manage installation and hardware.

Local execution can avoid uploading footage to a hosted swapping service, but privacy still depends on your setup, files, extensions, and any cloud infrastructure you choose. Do not assume the application automatically encrypts your media or grants rights to every model it can load.

In particular, InsightFace distinguishes its MIT-licensed code from model and training-data licenses. Its repository restricts supplied trained models to non-commercial research and directs users to obtain licensing for face-swap models. Check the exact model used by your workflow.

How to choose in three questions

1. What file do you need to finish? Use a photo tool for one image, a video tool for moving footage, and a multi-face workflow for separate identities in one scene.
2. What must remain unchanged? Specify the intended person, expression, hair, hands, background, and timing. A creative character transformation can change more than a face replacement.
3. What does the final export require? Check duration, resolution, watermark, commercial terms, and the amount you will actually pay—not just whether a preview can be generated.

If you want to replace the whole character, clothing, or body while following the source performance, consider AI character replacement. If the face is correct and you need a different spoken line, use lip sync. These solve different problems from identity replacement.

A short comparison you can repeat on your own footage

Use one permitted portrait and one short clip across your shortlist. Include a clear opening view, a head turn, speech, and a brief obstruction if your actual project contains them. Keep the input files unchanged between tools.

Record the cost of all attempts, including rejected ones. An illustrative $12 spent on six accepted clips is $2 per usable clip; twenty submitted attempts would not change that denominator to twenty. Include your manual editing time when the output needs repair.

Fix common face-swap problems before buying more credits

For a poor blend, try a sharper portrait with a similar head angle and lighting. For tracking failures, test a shorter segment with a larger, more visible face. For the wrong person being changed, use explicit face selection or a multi-face workflow. If a clear source still fails during the same motion, compare another tool with that exact segment.

More retries with the same unsuitable input may reproduce the same defect. The face-swap troubleshooting guide covers a fuller diagnosis.

If you are trying to verify suspicious media rather than choose a creation tool, use our guide to what a deepfake is and how to evaluate one.

Choose face-swap tools by risk and deliverable

Direct answer: Choose a face-swap tool by media type, number of identities, consent requirements and how closely the result must survive full-resolution review. Photo, video, GIF, batch and local workflows have different failure modes.

Match the tool to the job. For one portrait, prioritize boundary quality and easy cleanup. For video, prioritize identity consistency across frames. For group footage, require explicit face mapping. For sensitive or automated work, review retention, deletion, access controls and API documentation.

Use one fair test set. Test a front portrait, three-quarter pose, glasses, partial occlusion, two-person image and short moving clip. Keep the same consented identity across tools. Score identity, expression, skin tone, hairline, jaw, accessories and unintended changes outside the face.

Safety rule. Do not use face swap for impersonation, fraud, non-consensual intimate media or deceptive endorsements. Permission to access an image is not automatically permission to alter or publish it.

Try the workflow: Open the matching Magic Hour tool. Use the same representative input and acceptance criteria before comparing results.

Continue learning

Continue learning: face swap for ads guide, and face swap API comparison.