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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Vectorizer AI
✓ verifiedPaid
AI-powered online converter that traces raster images (PNG/JPG/WebP) into clean, editable SVG, EPS, DXF, or PDF vector files.
2.0M visits/mo7.4K saves
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Wan AI
✓ verifiedFreemium
Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
3.1M visits/mo49K saves
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Vidu
✓ verifiedFreemium
Fast AI video and image generator known for consistent multi-reference characters, anime motion, and free off-peak generation.
3.3M visits/mo50K saves
Pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦AI-based full-color image tracing with deep learning and classical algorithms
- ✦Full shape fitting for circles, ellipses, rounded rectangles, and stars
- ✦Support for straight lines, arcs, and quadratic/cubic Bezier curves
- ✦Automatic corner detection and cleanup for natural-looking edges
- ✦Symmetry detection to improve consistency of vectorized shapes
- ✦Adjustable color palette control for output simplification
- ✦Sub-pixel precision using anti-aliasing data
- ✦Exports to SVG, EPS, DXF, and PDF
- ✦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
- ✦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
Use cases
- →Designers converting scanned logos into clean vector files
- →Print shops preparing artwork for large-format or cut printing
- →CNC/CAD users needing DXF paths from raster images
- →Developers integrating vectorization into automated design pipelines
- →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
- →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
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