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SPECIFICTION
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Designkit vs PosterGen

Designkit

designkit.com

PosterGen

github.com

Side by side

FigureDesignkitPosterGen
Price from$15/mo—
Free planYes—
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
Self-hosted—Yes
Plans published30
Spec score · AI Poster Generators9.1 (#1)7.5 (#16)

Plans

Designkit

  • FreeFree
  • Basic Plan$15 a month
  • Pro Plan$30 a month

Designkit pricing →

PosterGen

No plans published.

PosterGen pricing →

In their own words

Designkit

Designkit helps sellers and brands produce product visuals, videos, and marketing materials with AI. Start with one product image to generate listing images, lifestyle scenes, product videos, AI model shots, or ad creatives. Its tools include AI product photography, product-detail-page design, fashion-model features, and online editing. The bulk image editor handles up to 30 images per batch. A video agent can turn a product image and prompt into a marketing video with hooks, scenes, captions, and platform-specific formats. Designkit describes workflows for Amazon, Shopify, TikTok Shop, social content, and paid ads. It is available on Android, iOS, and the web, with custom dimensions and background removal. The Free plan costs nothing and includes 20 first-login credits, limited image generations, no video generation, and five-second video-tool previews. Purchased credits last one year; membership credits remain valid during the membership period.

Visit designkit.com

PosterGen

PosterGen generates academic posters from research paper PDFs, using a multi-agent language-model workflow to extract content, plan a narrative, arrange the layout, and apply styling. Its Parser Agent structures paper content, while the Curator Agent plans organization and visual placement. Layout and Balancer agents calculate spacing and column use, with the Balancer addressing overflow. Styling includes colors drawn from an affiliation logo, professional font choices, and keyword highlighting. Users can adjust layout, typography, color generation, visual asset sizing, and content optimization through configuration. A local web interface accepts a paper PDF and logos, lets users configure models and poster dimensions, and generates a PNG plus an editable PowerPoint file. Documented width-to-height ratios run from 1.4 to 2, and custom dimensions are supported. The project lists Windows, Linux, and macOS, but setup requires Python 3.11 and LibreOffice; the web interface also needs Node.js and configured API keys. Setup documents OpenAI, Anthropic, and Zhipu keys, with configurable service base URLs including Google. PosterGen is free and MIT-licensed; the license provides the software without warranty.

Visit github.com