Cutout.pro vs Mercury Edit 2: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Cutout.pro and Mercury Edit 2 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Cutout.pro

Freemium

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

View Cutout.pro details

Mercury Edit 2

Inception Labs

Paid

Diffusion-native next-edit LLM for hosted edit prediction, code editing, and high-throughput classification by Inception Labs.

Key features

Next-Edit Prediction: Provides cursor-aware, contextual edit suggestions (single-line and multi-line) that can produce multiple coordinated edits across a file to accelerate refactoring and inline code fixes.
Diffusion-Native Inference: Uses diffusion modeling to generate tokens in parallel, delivering higher token throughput and improved controllability compared with autoregressive edit models.
Hosted API Access: Available as a hosted Mercury API provider (no local GPU required) with simple API key authentication (MERCURY_AI_TOKEN / INCEPTION_API_KEY) for easy integration into editors, CLIs, and server workflows.
Multi-Edit & Cursor Prediction: Supports multi-edit operations and cursor-position-aware predictions to enable precise edits and inline integrations in code editors and IDE plugins.
High-Throughput Classification & Structured Output: Used as a fast classifier and structured-output generator (e.g., SQL generation, routing/classification tasks) in agent and orchestration stacks.
Editor & CLI Integrations: Integrates with tools such as cursortab.nvim and Mercury CLI, enabling direct editor workflows and autonomous code-synthesis CLIs that coordinate planning, edits, and verification.
Scalable Integration Patterns: Designed to fit into planner→edit→verify→runtime pipelines (as seen in Mercury CLI architecture), enabling coordinated multi-step code repair and synthesis workflows.