Recraft V3 SVG - AI Image Models Tool

Overview

Recraft V3 SVG (codename “red_panda”) is a designer-focused text-to-image model that generates production-ready vector (SVG) and raster images for logos, icons, illustrations, and branded assets. The model emphasizes precise typographic control — including rendering long blocks of text and placing text or other elements at exact coordinates — and exposes design-oriented controls such as an “Artistic” level and brand-style creation from reference images. These capabilities are available via Recraft’s web and mobile apps and through hosted APIs like Replicate. (Sources: Recraft docs — https://www.recraft.ai/docs/recraft-models/recraft-V3; Replicate model page — https://replicate.com/recraft-ai/recraft-v3-svg.) Recraft V3 was released in October 2024 and quickly gained attention on crowdsourced benchmarks for text-to-image quality, with press coverage noting its top placement on the Artificial Analysis / Hugging Face leaderboard. The platform is already integrated into ecosystem tools (Replicate, fal.ai, community nodes) and supports common production workflows (SVG export, raster outputs, inpainting/outpainting, mockups, and API-driven batch generation), making it suitable for designers, brand teams, and SaaS products that need scalable vector assets. (Sources: Recraft blog announcement — https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language; TechCrunch coverage — https://techcrunch.com/2024/10/28/a-mysterious-new-image-generation-model-has-appeared/.)

Key Features

• Direct SVG output: produce editable, production-ready vector logos and icons.
• Precise text rendering: supports long text and accurate typographic placement in images.
• Element placement control: specify exact positions for text and assets within a layout.
• Brand-style creation: upload reference images to generate consistent, on‑brand outputs.
• Raster + vector workflows: generate raster images or scalable SVGs and vectorize inputs.
• Inpainting/outpainting and mockups: edit areas, extend canvases, and generate device mockups.

Example Usage

Example (python):

import replicate

# Requires: pip install replicate and REPLICATE_API_TOKEN set in env
# This example runs the public Replicate model for Recraft V3 SVG with a simple prompt
# and saves any file outputs (SVG or raster) returned by the model.

model_id = "recraft-ai/recraft-v3-svg"
prompt = (
    "Minimal, modern company logo: geometric fox head, orange and charcoal,"
    " include company name 'Foxline' beneath symbol, flat vector style"
)

output = replicate.run(model_id, input={"prompt": prompt})

# The model may return one or more FileOutput objects. Save each to disk.
for i, file_output in enumerate(output):
    # file_output may be a FileOutput object or a URL-like string
    try:
        # When FileOutput, call .read() to get bytes
        data = file_output.read()
        filename = f"recraft_output_{i}.svg"
        with open(filename, "wb") as f:
            f.write(data)
        print("Saved", filename)
    except Exception:
        # Fall back to treating the output as a URL/str
        print("Output", i, "->", file_output)

# See Replicate docs for more advanced inputs (styles, image inputs, inpainting, etc.)
# Replicate Python docs: https://replicate.com/docs/get-started/python

Pricing

Recraft’s official site describes free and paid tiers but does not publish a single canonical per-run price. Third-party hosts and API resellers list per-image pricing (examples: fal.ai and several API marketplaces report ~ $0.04 per raster run and ~$0.08 per vector run, with per-host variations). Pricing, quotas, and commercial terms vary by host (Recraft app, Replicate, fal.ai, WaveSpeedAI, etc.), so check the provider you plan to use for up-to-date rates. (Sources: fal.ai model listings and partner pages — https://fal.ai/models/fal-ai/recraft-v3 and community integrations/readmes — https://github.com/cho-media/n8n-nodes-recraft-v3.)

Benchmarks

Artificial Analysis (Hugging Face) ELO: 1172 (ranked #1 in crowd-sourced text-to-image arena) (Source: https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language and https://techcrunch.com/2024/10/28/a-mysterious-new-image-generation-model-has-appeared/)

Arena win rate (Artificial Analysis): 72% (pairwise preference win-rate reported during leaderboard period) (Source: https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language and https://techcrunch.com/2024/10/28/a-mysterious-new-image-generation-model-has-appeared/)

Replicate runs (usage indicator): ~342K runs (public Replicate model page run count) (Source: https://replicate.com/recraft-ai/recraft-v3-svg)

Release: October 2024 (Recraft V3 release date) (Source: https://www.recraft.ai/docs/recraft-models/recraft-V3)

Key Information

• Category: Image Models
• Type: AI Image Models Tool