PosterGen

Overview

PosterGen is ranked #7 of 23 in AI poster generators on Specifiction. It runs on Linux, macOS, Self-hosted, Web, Windows.

Compared on AI poster generators

Free plan

Yesgithub.com

Custom dimensions

Yesgithub.com

Facts

Purpose

PosterGen generates academic posters from research papers using a multi-agent large language model framework guided by design principles.github.com · 4 Oct 2026

Paper parsing

Its Parser Agent extracts and structures content from a paper PDF.github.com · 4 Oct 2026

Storyboarding

Its Curator Agent plans content organization and visual placement.github.com · 4 Oct 2026

Layout

Its Layout Agent calculates positioning and spacing, while a Balancer Sub-Agent optimizes column use and prevents overflow.github.com · 4 Oct 2026

Styling

Color generation draws on an affiliation logo, and typography features include professional font choices and keyword highlighting.github.com · 4 Oct 2026

Output

Generated files include a PNG poster and an editable PowerPoint file.github.com · 4 Oct 2026

Interface

A local web interface lets users upload a PDF and logos, configure models and dimensions, then generate and download poster files.github.com · 4 Oct 2026

Models and APIs

The README lists OpenAI, Anthropic, and Zhipu API keys and documents configurable API base URLs, including a Google base URL.github.com · 4 Oct 2026

Requirements

The README specifies Python 3.11 and requires LibreOffice; its web interface also requires Node.js and configured API keys.github.com · 4 Oct 2026

Poster dimensions

The documented width-to-height aspect ratio range is 1.4 to 2.github.com · 4 Oct 2026

Customization

Users can customize layout, typography, color generation, visual asset sizing, and content optimization through the configuration file.github.com · 4 Oct 2026

Dependencies

The project acknowledges LangGraph, Marker, and python-pptx as underlying open-source projects.github.com · 4 Oct 2026

License

The repository identifies its license as MIT.github.com · 4 Oct 2026

Intended audience

The README describes conference poster design and identifies the output as professional academic posters.github.com · 4 Oct 2026

Workflow

Its workflow uses parser, curator, layout and styling agents to extract paper content, plan a narrative storyboard, arrange a three-column layout and apply colors and typography.github.com · 4 Oct 2026

Outputs

The system produces PNG poster images and editable PowerPoint files.github.com · 4 Oct 2026

Operating systems

The README lists Windows, Linux and macOS as supported operating systems and Python 3.11 as a system requirement.github.com · 4 Oct 2026

Required inputs

The setup instructions require a research paper PDF, an affiliation logo for color extraction and a conference logo for the poster.github.com · 4 Oct 2026

Model providers

The README shows API key configuration for OpenAI, Anthropic and Zhipu and configurable base URLs for OpenAI, Anthropic, Google and Zhipu compatible services.github.com · 4 Oct 2026

Model options

The documented text and vision model options include GPT-4.1, GPT-4o, GPT-4.1 mini and Claude Sonnet 4.github.com · 4 Oct 2026

Cost logging

The output directory includes a JSON log for runtime and API cost.github.com · 4 Oct 2026

License warranty

The MIT license states that the software is provided as is without warranty.github.com · 4 Oct 2026

Intended users

The README describes the system as generating academic posters and says it follows poster design practices for conferences.github.com · 4 Oct 2026

Where it ranks on Specifiction

• Best AI Poster Generators in 2026#7 of 23

Sources

• github.com/Y-Research-SBU/PosterGen· checked 4 Oct 2026
• github.com/Y-Research-SBU/PosterGen/blob/main/LICE· checked 4 Oct 2026