Compare tools
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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EyeQ (Perfectly Clear)
✓ verifiedPaid
EyeQ's Perfectly Clear delivers automatic AI photo correction and video enhancement via SDKs, APIs and ready-to-use tools.
11K visits/mo
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AVCLabs
✓ verifiedFreemium
Suite of AI tools for upscaling, enhancing, blurring, and editing video and photos, aimed at creators and restorers.
183K visits/mo3.7K saves
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UniFab
✓ verifiedFreemium
Desktop AI video/audio enhancer offering upscaling, denoising, colorizing, and face enhancement with optional cloud credits.
196K visits/mo14K saves
Pricing
No public pricing
No public pricing
Free trial available
No public pricing
Core features
- ✦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
- ✦Video upscaling to HD/4K/8K
- ✦Facial detail restoration
- ✦Automatic face, object and license plate blurring
- ✦Watermark and object removal
- ✦Image colorization and denoising
- ✦Video stabilization
- ✦AVCLabs Media MCP server for AI agents
- ✦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
Use cases
- →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
- →Improving low-resolution video quality
- →Blurring faces and plates for privacy
- →Restoring and colorizing old photos and footage
- →Removing watermarks and unwanted objects
- →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
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