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Vidwud AI Face Swap vs VisoMaster

Both stand on ai face swap tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Vidwud AI Face Swap

Free plan Web

Choose Vidwud AI Face Swap if you want a web tool for replacing multiple faces across photos, videos, or GIFs, with claimed high-resolution, watermark-free downloads. Look elsewhere if the free plan’s zero credits, limited swaps, or 100 MB video limit do not fit your project; paid access starts at $9.99/mo.

Visit Vidwud AI Face Swap

VisoMaster

Free plan LinuxWindows

VisoMaster offers face swapping, editing, and live-output tools without a listed paid plan. Consider the platform-specific installation instructions and obtain consent for likenesses before creating content.

Visit VisoMaster

The facts

Vidwud AI Face SwapVisoMaster
Free planYesYes
Open sourceNoNot published
Runs onWebLinux, Windows
Lowest paid planBasic: $9.99 a monthFree or on request
Plans published71
MakerNot publishedNot published
Websitevidwud.comgithub.com
On ai face swap tools#45 of 57#41 of 57

Vidwud AI Face Swap: what it does well

  • Handles multiple faces in photos, videos, and GIFs.
  • Accepts JPG, PNG, and WEBP photos.
  • Supports GIF, M4V, MP4, MOV, and WEBM video files.
  • Claims photo output up to 4K and video up to 1080p.
  • Claims downloads without watermarks.

What to know first

  • Free plan includes zero credits and limited multi-face swaps.
  • Free plan limits videos to 100 MB.
  • Free plan includes 500 MB of storage and standard generation speed.
  • Too many face replacements may cause blur or poor results.

VisoMaster: what it does well

  • Free and released under GPL-3.0.
  • Supports multi-face swapping and per-part masking.
  • Includes expression editing and face restoration tools.
  • Previews processed video before saving.
  • Supports webcam output to a virtual camera.

What to know first

  • The documented automatic installer is for Windows users with Nvidia GPUs.
  • Manual Nvidia installation is documented; Linux launch uses Python.
  • Faster TensorRT processing is listed for supported GPUs.

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