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Ravana review

Free#14 of 57 in AI Face Swap Tools

A desktop-focused, open-source toolkit with broad input support and restoration models.

8.0/10Editor score
Ravana8.0 Visit Ravana

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Ravana is an open-source Python face-swapping SDK for developers, solo users, and small teams working with images, video, or webcam input. It supports image face swapping, video processing, real-time webcam swapping, and multiple face-selection modes, including all, largest, first, index, and pose. A PySide6 desktop GUI adds drag-and-drop workflows, batch processing, webcam access, and video playback, while command-line workflows suit users who prefer scripted operation.

Its strongest differentiator is the breadth of its processing and restoration stack. Ravana supports HyperSwap and InSwapper models, with face restoration through GFPGAN, GPEN, CodeFormer, RestoreFormer++, and OpenCV. Identity and sharpness evaluation tools provide additional ways to assess output. ONNX Runtime execution supports CUDA, AMD DirectML, and CPU environments, and video workflows can include audio remuxing when FFmpeg is available. This combination makes the product a fit for users who need more control than a narrow single-purpose face-swap interface provides.

Ravana is most suitable for technically comfortable users who want open-source, self-hosted desktop deployment across Windows, macOS, or Linux. The MIT-licensed project can support development and customization, but downloaded model weights may have separate licenses that should be reviewed before commercial use. It is less suitable for buyers seeking a hosted service, paid-plan packaging, or a broader support operation: the listed support channel is documentation, and the product is oriented toward developer-led workflows rather than a managed commercial platform.

Ravana pros and cons

  • Where it wins
    • Supports image, video, webcam, and multi-face swapping
    • Offers GFPGAN, GPEN, CodeFormer, and other restoration models
    • Runs through CUDA, AMD DirectML, or CPU with ONNX Runtime
  • Where it doesn't
    • Self-hosted desktop deployment requires technical setup
    • Support is centered on documentation
    • Downloaded model weights may carry separate license terms

Ravana fact sheet, pricing and score →

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