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AI caption generator that adds animated, styled subtitles and emojis to short videos for TikTok, Reels, and Shorts in 100+ languages.
All-in-one AI video toolkit (image-to-video, face/head swap, lip-sync, avatars, voice clone) with a free tier and API for creators.
Fast AI video and image generator known for consistent multi-reference characters, anime motion, and free off-peak generation.
Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
Free trial available
No public pricing
No public pricing
- ✦Automatic animated captions
- ✦Emoji and emphasis effects
- ✦100+ languages
- ✦Auto-resize for multiple platforms
- ✦Timeline subtitle/timing editor
- ✦Direct publishing and templates
- ✦Image-to-video generation
- ✦Face swap and head swap
- ✦Talking-photo lip-sync
- ✦AI avatars
- ✦Voice cloning
- ✦Access to many models (Kling, Wan, Veo, Seedance)
- ✦Developer API
- ✦Text-to-video, image-to-video, and reference-to-video generation
- ✦Multi-reference consistency using up to 7 images
- ✦First and last frame transition control
- ✦Anime art-to-video animation
- ✦Unlimited free generation in off-peak mode
- ✦AI sound effect and AI image generation tools
- ✦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
- →Captioning short-form social videos
- →Making captions that boost watch time
- →Repurposing one video for many platforms
- →Building branded caption presets
- →Turn a photo into a talking video
- →Create AI avatar videos
- →Clone a voice for narration
- →Marketers producing branded video ads with consistent characters
- →Anime creators animating static art
- →Creators reusing saved characters/props across multiple videos
- →Users wanting fast, low-cost video generation via off-peak mode
- →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