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SPECIFICTION
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Poster vs PosterGen

Poster

poster.sh

PosterGen

github.com

Side by side

FigurePosterPosterGen
Price from$7/mo—
Free planYes—
Free trialYes—
Open source——
WebYesYes
WindowsYesYes
macOSYesYes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Self-hosted—Yes
Plans published130
Spec score · AI Poster Generators8.9 (#3)7.5 (#16)
Intended usersThe pricing page describes Starter for personal use and light creators, and Pro for freelancers and business users.The README describes the system as generating academic posters and says it follows poster design practices for conferences.

Plans

Poster

  • FreeFree
  • Trial Pack$4.90, paid once
  • Poster QR$7 a month
  • Starter$9.90 a month
  • Additional POS register$19 a month
  • Poster Site$19 a month
  • Basic Pack$19.90, paid once
  • Mini$26 a month
  • Pro$29.90 a month
  • Business$44 a month

Poster pricing →

PosterGen

No plans published.

PosterGen pricing →

In their own words

Poster

Poster is a web and browser-extension design tool that turns creative prompts into editable posters. It offers five generation paths—Smart, Creative, Exact, Professional, and Style Fusion—then lets you revise text or replace objects with AI, adjust layers and layouts manually, upload images, and add QR codes. Eligible standard 1K and 2K creations with an Edit button can return to the editor; 4K posters are download-only. Generation uses 2–5 credits according to model and resolution, with the exact charge shown before starting. The free plan costs nothing and gives new users five credits, 1080p output, PNG and JPG downloads, and community support. Starter costs $9.90 a month with 200 monthly credits, 4K downloads, PDF export, custom brand colors and fonts, commercial usage rights, and a priority queue. Pro costs $29.90 a month and adds 700 monthly credits, team workflow, API-ready content rights, and priority support. One-time credit packs are also available.

Visit poster.sh

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