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Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
Kling AI turns text or images into cinematic AI video, plus image and sound generation, for creators and studios.
Desktop and cloud AI suite for enhancing, upscaling, and restoring video, for casual users and creators fixing low-quality footage.
EyeQ's Perfectly Clear delivers automatic AI photo correction and video enhancement via SDKs, APIs and ready-to-use tools.
Desktop AI video/audio enhancer offering upscaling, denoising, colorizing, and face enhancement with optional cloud credits.
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 generation from text and images
- ✦AI image generation
- ✦Reference-based multimodal creation
- ✦Single creative studio
- ✦Upscales video resolution up to 4K/8K
- ✦Restores damaged or degraded footage, fixing scratches and compression loss
- ✦Colorizes black-and-white video automatically
- ✦Increases frame rate through AI frame interpolation
- ✦Reduces video noise and brightens dark footage
- ✦Enhances facial detail and stabilizes shaky video
- ✦Offers online, no-download tools alongside the desktop app
- ✦Automatic photo correction and color enhancement
- ✦AI video enhancement and correction
- ✦Image retouching, background removal and upscaling
- ✦Auto crop and creative filters
- ✦SDKs, Web API, Docker and command-line integration
- ✦Ready-to-use cloud and hot-folder batch processing
- ✦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
- →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
- →Short-form and social video creation
- →Storyboarding and previz
- →Advertising and brand clips
- →Animating still images
- →Casual users polishing personal travel or family videos
- →Content creators improving vlogs, reels, or tutorials
- →E-commerce sellers upgrading promotional video quality
- →Restoring old family or archival footage
- →Batch-correcting photos for print labs
- →Automating image enhancement inside an app or pipeline
- →Enhancing video quality
- →Preparing large volumes of product or portrait images
- →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