Recraft API

Generates production-ready raster images from natural language prompts with architectural support for rendering text at arbitrary sizes and lengths, precise spatial positioning of design elements, and deterministic output through seed control. The API accepts text descriptions and optional style parameters, processes them through Recraft V4 (or legacy V3/V2 models), and returns high-quality PNG/JPEG outputs with pixel-perfect text rendering and element placement capabilities that distinguish it from standard diffusion-based competitors.

Generates vector graphics (SVG or equivalent scalable format) from text prompts, enabling unlimited scaling without quality loss and direct integration into design systems and web applications. The API processes prompts through a vector-specialized generation pipeline and returns mathematically-defined paths and shapes rather than rasterized pixels, allowing downstream tools to manipulate, recolor, and animate outputs programmatically.

Implements API key-based authentication for programmatic access to Recraft services, with key management through user profile dashboard. Authentication is performed via HTTP headers or request parameters, with support for rate limiting, quota tracking, and usage monitoring per API key.

Manages image ownership, copyright, and commercial usage rights based on subscription tier (free vs. paid). Free tier images are owned by Recraft and publicly visible in community gallery with limited commercial rights; paid tier grants full ownership and commercial rights to users with private image storage. The system tracks ownership metadata and enforces usage restrictions at generation time.

Provides access to multiple model versions (Recraft V4, V3, V2) with documented selection guidance for choosing appropriate model based on use case, quality requirements, and performance needs. The API accepts model version specification in requests and routes to corresponding model backend, with V4 as current default and legacy versions available for backward compatibility.

Integrates with Model Context Protocol (MCP) to enable Recraft image generation capabilities to be called from MCP-compatible AI agents and applications. The integration exposes Recraft functions as MCP tools with standardized schemas, allowing agents to invoke image generation, editing, and upscaling operations as part of multi-step reasoning and planning workflows.

Applies consistent visual styling, color palettes, and design language across multiple generated images through a style registry or brand guideline system. The API accepts style parameters (brand colors, typography references, design patterns) once and applies them deterministically across batch requests, ensuring visual coherence without manual post-processing or per-image style tuning.

Generates illustrations and icons optimized for design system integration, with support for consistent sizing, stroke weights, and visual hierarchy across generated assets. The API produces outputs compatible with design tools (Figma, Adobe XD) and web frameworks, with metadata describing component properties and design system classification.

Generates 3D graphics and renderings from natural language descriptions, producing outputs suitable for 3D modeling, visualization, and game development workflows. The API processes prompts through a 3D-specialized generation pipeline and returns 3D model data (format unspecified) or high-quality 3D renderings that can be imported into 3D tools or used directly in applications.

Provides AI-powered image editing capabilities including background removal, object removal, inpainting, and style transfer on existing images. The API accepts image uploads and editing instructions (text descriptions of desired changes), processes them through an editing-specialized model, and returns modified images with seamless blending and artifact-free results.

Upscales low-resolution images to higher resolutions while preserving or enhancing detail and minimizing artifacts. The API accepts image uploads and target resolution specifications, processes them through a super-resolution model, and returns enlarged images suitable for print, large displays, or high-quality digital use.

Converts raster images (PNG, JPEG) to vector graphics (SVG, PDF) through an AI-assisted tracing pipeline that intelligently simplifies paths, preserves important details, and optimizes file size. The API accepts image uploads, processes them through a vectorization model, and returns clean vector outputs suitable for scaling and design tool editing.

Removes selected objects, people, text, or regions from images using AI-powered inpainting that intelligently fills removed areas with contextually appropriate content. The API accepts image uploads with region specifications (mask, bounding box, or freeform selection) and returns images with seamless removal and natural-looking inpainting.

Generates realistic product mockups by placing generated or uploaded images onto templates (t-shirts, mugs, billboards, packaging, etc.) with perspective transformation, lighting, and shadow effects. The API accepts product images and mockup template specifications, applies perspective and lighting transformations, and returns photorealistic mockup images suitable for marketing and e-commerce.