Kodo vs PosterGen
Kodo
usekodo.aiPosterGen
github.comSide by side
| Figure | Kodo | PosterGen |
|---|---|---|
| Price from | $12/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 0 |
| Spec score · AI Poster Generators | 7.8 (#12) | 7.5 (#16) |
Plans
In their own words
Kodo
Kodo is a web-based AI design tool that turns text prompts into editable visual projects. It creates presentations, posters, menus, flyers, business cards, invitations, infographics, and social media graphics. Vector editing tools let users adjust elements, colors, and typography after generation. Exports include PNG, JPG, WEBP, SVG, PDF, and PPTX, with PPTX export requiring frames; exported PPTX files can be imported into Google Slides for editing. The free plan costs nothing and includes 30 credits, five projects, one brand kit, watermark-free exports, and custom fonts. Paid plans are Starter at $12 a month, Operator at $39 a month, and Agency at $99 a month, with higher credit, project, and brand-kit allowances. AI generation typically uses about 4–12 credits per design, and free credits do not refill automatically. Designs can be shared with view, edit, or comment permissions.
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.