Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
Desktop AI video/audio enhancer offering upscaling, denoising, colorizing, and face enhancement with optional cloud credits.
Widely used mobile app for AI face-swapping in photos, GIFs and videos, plus generating personalized AI avatars.
Free AI background remover that produces clean transparent PNG cutouts from images in a few seconds.
Established browser-based photo and design editor with AI image, video, and audio generation tools.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Text-to-video generation
- ✦Image-to-video generation
- ✦Text-to-image and image editing
- ✦Open-source model releases for developers
- ✦Part of Alibaba's broader Tongyi AI ecosystem
- ✦AI video upscaling up to 16K
- ✦AI denoising and face enhancement
- ✦Black-and-white video colorization
- ✦Audio upmixing to surround sound (EAC3/DTS)
- ✦Support for 1,000+ video format conversions
- ✦Optional cloud processing via FabCloud credits for GPU-less machines
- ✦Face-swap into photos, GIFs and short videos
- ✦AI avatar generation
- ✦Mobile app for iOS and Android
- ✦Part of a broader suite of sibling AI apps from the same company
- ✦Automatic AI background removal
- ✦Transparent PNG output
- ✦Modes for general, logo, text and anime images
- ✦Multiple precision models
- ✦Batch background removal
- ✦Runs free in the browser, no signup
- ✦Browser-based photo editor (Pixlr Express and Editor)
- ✦AI text-to-image and text-to-video generation
- ✦Generative fill, expand, and object removal
- ✦AI face swap for photos and video
- ✦AI background remover and photo collage maker
- ✦Text-to-speech and speech-to-text audio tools
- →Content creators generating short AI video clips
- →Developers building on open-source Wan model weights
- →Marketers producing quick visual content
- →Researchers experimenting with video diffusion models
- →Video editors restoring old or low-quality footage
- →Creators upscaling videos for higher-resolution delivery
- →Users converting videos between formats without a GPU
- →Hobbyists colorizing black-and-white home movies
- →Casual users creating face-swap memes and GIFs to share
- →People generating personalized AI avatars for social profiles
- →Creating transparent product images
- →Cleaning backgrounds for profile pictures
- →Preparing graphics for social media
- →Bulk-removing backgrounds for e-commerce
- →Editing and enhancing photos without installing software
- →Generating marketing images or short video clips from prompts
- →Removing objects or backgrounds from photos
- →Creating photo collages or swapping faces for fun content