Cutout.pro vs Hy4 preview: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cutout.pro and Hy4 preview — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cutout.pro
Cutout.pro
All-in-one visual design platform for AI-powered photo and video editing, background removal, restoration, and content generation.
Key features
- Background Removal: Automatic one‑click background removal with high-accuracy subject masks and support for batch uploads to speed product photography and compositing workflows.
- Image Restoration & Inpainting: Tools to repair old or damaged photos, remove scratches and blemishes, and intelligently inpaint missing areas to recover image quality.
- Image Upscaling & Enhancement: AI-driven upscaling to increase resolution while reducing artifacts and preserving detail for print and high-resolution displays.
- Content Generation & Graphic Templates: AI-assisted image generation, stylization, and ready-made design templates for marketing assets, social media posts, and thumbnails.
- Video Editing Tools: Automated video processing features (e.g., background handling and frame restoration) to streamline video content preparation and enhancement.
- APIs and Developer Tools: REST APIs and SDKs for background removal, upscaling, and enhancement that enable integration into apps, pipelines, and automation scripts.
- Desktop & Web Workflow Support: Web-based editor plus a downloadable desktop application (Windows) for local processing and integration with online services.
- Batch Processing & Automation: Bulk processing capabilities and programmatic access to automate repetitive editing tasks and integrate into production pipelines.
- Automatic background removal / cutout
- Image restoration and enhancement (old photo repair, noise reduction)
- Image upscaling / super-resolution
- Graphic asset / content generation tools
- Basic video editing tools (AI-assisted)
- Public API for programmatic access to image processing endpoints
- Desktop application (Windows) and references to mobile integration
- Sample client implementations: Python scripts (requests), Android sample using Retrofit2, MVVM and Hilt
- Web-based UI for one-click processing and bulk operations
Best for
- E-commerce Photo Preparation: Remove backgrounds and batch-process product photos to create consistent, marketplace-ready images quickly.
- Photo Restoration Projects: Restore and repair old family photos or archival images by removing scratches, repairing damaged regions, and recovering detail.
- Marketing Asset Production: Generate stylized images, thumbnails, and social media visuals using templates and AI generation to accelerate campaign creation.
- Image Upscaling for Print and Web: Enlarge low-resolution images for print materials, large-format displays, or high-resolution web use while preserving detail.
- Developer Integration: Integrate background removal and enhancement APIs into SaaS platforms, mobile apps, or automated content pipelines to provide on-demand editing services.
- Video Frame Enhancement: Improve video quality by applying frame-level restoration and background processing to produce cleaner footage for creators and editors.
- E-commerce product photo background removal and batch processing
- Restoration and enhancement of old or low-quality images
- Upscaling images for print or high-resolution displays
- Automated creation of marketing graphics and visual assets
- Integrating automated image enhancement into mobile or server workflows via API
Hy4 preview
Tencent
Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.
Key features
- 770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost.
- 1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt.
- Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement.
- Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation.
- Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights.
- API Access via TokenHub and OpenRouter: Can be called through Tencent Cloud TokenHub or OpenRouter for teams that prefer hosted inference over self-hosting.
Best for
- Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once.
- Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context.
- Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation.
- Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input.
- Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows.
- Commercial Fine-Tuning: Adapt the weights for a proprietary product under the Apache 2.0 licence without negotiating a model licence.