FaceSwap
Swap faces in photos and videos instantly.
At a glance
Price not confirmed · Source review 2026-10-24- Price & billing
Free and open source (no paid tiers). Hardware is the real cost: a CUDA-capable GPU is strongly recommended. Observed October 2026.
- Free allowance
Free and open source (no paid tiers).
- Best suited to
Researchers, VFX artists, developers and hobbyists who want full control over a face-swap pipeline, custom model training, and zero software cost
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Researchers, VFX artists, developers and hobbyists who want full control over a face-swap pipeline, custom model training, and zero software cost
Limits and trade-offs
Training a model takes hours even on a good GPU; CPU training is practically unusable, so this is not a five-minute tool. Setup requires Python, TensorFlow and driver wrangling, which is real friction
Plans and free allowances
Free and open source (no paid tiers). Hardware is the real cost: a CUDA-capable GPU is strongly recommended. Observed October 2026.
Evidence
Official website ↗ (reviewed 2026-10-24)
Official published documentation reviewed; not a product test
Dates: Last reviewed 2026-10-24. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at FaceSwap
Faceswap is the best-known open-source deepfake application: a free desktop tool for swapping faces in images and videos with an end-to-end pipeline of face extraction, alignment, model training and conversion. It ships with both a graphical interface and a command line, runs on Windows, macOS and Linux, and processes everything locally for full privacy. The price is zero; the real cost is a capable GPU and the patience to train models.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose FaceSwap
- Researchers, VFX artists, developers and hobbyists who want full control over a face-swap pipeline, custom model training, and zero software cost
- anyone who needs local, private processing.
When to choose something else
- Anyone who wants a result in minutes from a phone
- Users without a decent GPU, since model training takes hours even on a good GPU and CPU training is practically unusable.
- teams needing a simple cloud API or commercial support.
A practical starting workflow
- Install Python and the GPU drivers first, then clone the repository and launch the GUI, which walks you through extraction, training and conversion.
- Extract faces from your source and target media, checking alignment quality before training; bad alignment in means bad output out.
- Train the model for a few hours on a CUDA-capable GPU, pausing and resuming as needed, then run the convert step and inspect the full clip for artifacts at eyes, teeth and hairlines.
Check before committing
- Training a model takes hours even on a good GPU; CPU training is practically unusable, so this is not a five-minute tool. Setup requires Python, TensorFlow and driver wrangling, which is real friction for non-technical users. As deepfake software it carries inherent misuse risk: the project enforces a zero-tolerance anti-abuse policy, and several jurisdictions now criminalize non-consensual deepfakes, so only use faces you own or have explicit permission to use.
- Pricing and feature availability may change; confirm current terms on the official website before committing.
Common questions
Is Faceswap really free?
Yes. It is fully free and open source; the developers accept optional donations but the software has no paid tiers or locked features. You supply your own hardware.
Do I need a powerful GPU?
A CUDA-capable Nvidia GPU (or AMD with ROCm on Linux) is strongly recommended. 2026 guides suggest at least 8GB of RAM; CPU-only training is technically possible but painfully slow.
Faceswap or DeepFaceLab?
It is generally considered more beginner-friendly than DeepFaceLab, with wider documentation and a larger contributor base, while DeepFaceLab is seen as offering more advanced control at the cost of a steeper learning curve.
Compare approaches for this task
- Face Swap by Akool — Marketing teams and agencies doing multilingual campaigns, live-stream face swaps, and batch face-swap work
- FaceSwapper — Anyone who wants free face swaps in photos, videos, multi-face shots, GIFs and batches without signing up
- Swapface — Windows users who want private, on-device face swapping
Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.