PaperClaw

SVG.LA

SVG.LA is a web-based platform for generating and converting SVG vector graphics with the help of artificial intelligence. It lets users create custom, scalable SVG files from simple text prompts or by combining text with reference images, making it easy to produce original vector artwork for logos, icons, illustrations, and other design projects. Because the tool runs entirely in the browser, no login or desktop software is required to start generating.\n\nThe platform integrates multiple AI models, each specialized for different visual styles such as cartoon, sketch, geometric, line art, and more. An AI-powered optimization layer automatically refines and improves text prompts, turning even vague ideas into polished, professional-grade SVG illustrations. Beyond generation, SVG.LA also includes conversion tools for common image formats including PNG, JPG, GIF, ICO, TIFF, WebP, and BMP, positioning it as a one-stop resource for working with vector graphics.\n\nSVG.LA is designed to be accessible: the free tier offers unlimited text-to-SVG generation without subscriptions or hidden fees, and a Pro plan unlocks additional AI models, faster generation speeds, and premium features like background removal. The output files are resolution-independent, so they can be scaled down for web icons or enlarged for print without losing quality, making the platform attractive to hobbyists, independent creators, and professional designers alike.

Paper Banana

Paper Banana is an AI-powered academic illustration generator built specifically for researchers, students, and educators. Instead of wrestling with complex design software, users simply describe the scientific figure or diagram they need in plain language, and Paper Banana produces a professional illustration in seconds. It covers the full research visual workflow with text-to-illustration, image-to-illustration, an editing studio, editable SVG generation, and even a poster maker that can turn PDF papers into academic posters.

PaperBanana

PaperBanana is an AI-powered academic illustration generator built for researchers who need publication-ready figures without hand-drawing every detail. It converts text descriptions of papers into methodology diagrams, statistical charts, system architectures, flow charts, and poster assets through a multi-agent collaboration pipeline. Instead of offering simple image generation, the tool coordinates planning and visualization agents to produce logically accurate scientific graphics. At the core of PaperBanana is a closed-loop five-agent architecture. A Planner agent turns textual descriptions into structured visual layouts, while a Visualizer agent renders them with the built-in Nano-Banana-Pro model using precise shapes, connectors, and scientific icons. For statistical plots, PaperBanana generates executable Python Matplotlib code from raw data rather than rendering pixels, which keeps bars, axes, and scales mathematically precise and avoids numerical hallucination. Researchers can also upload rough sketches or whiteboard notes and let the framework apply auto-summarized aesthetic guidelines to refine color, typography, spacing, and overall quality. PaperBanana is trusted by researchers from institutions such as Stanford, UC Berkeley, CMU, Tsinghua, and SNU. The service offers several credit-based plans with annual image allowances, support for 1K, 2K, and 4K resolutions, and an editing workflow that uses GPT Image 2.5 to change labels, colors, and details while preserving the original figure. It is designed for scientists, students, and authors who want polished figures for top-venue papers, tutorials, lecture slides, and supplementary materials.