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On the recordRead 4 Oct 202623 facts
PosterGen
On the record
- Cost logging
- The output directory includes a JSON log for runtime and API cost.github.com · read 4 Oct 2026
- Customization
- Users can customize layout, typography, color generation, visual asset sizing, and content optimization through the configuration file.github.com · read 4 Oct 2026
- Dependencies
- The project acknowledges LangGraph, Marker, and python-pptx as underlying open-source projects.github.com · read 4 Oct 2026
- Intended audience
- The README describes conference poster design and identifies the output as professional academic posters.github.com · read 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 · read 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 · read 4 Oct 2026
- Layout
- Its Layout Agent calculates positioning and spacing, while a Balancer Sub-Agent optimizes column use and prevents overflow.github.com · read 4 Oct 2026
- License
- The repository provides the software under the MIT License, which grants permission to use, copy, modify, distribute, sublicense and sell copies subject to its conditions.github.com · read 4 Oct 2026
- License warranty
- The MIT license states that the software is provided as is without warranty.github.com · read 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 · read 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 · read 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 · read 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 · read 4 Oct 2026
- Output
- Generated files include a PNG poster and an editable PowerPoint file.github.com · read 4 Oct 2026
- Outputs
- The system produces PNG poster images and editable PowerPoint files.github.com · read 4 Oct 2026
- Paper parsing
- Its Parser Agent extracts and structures content from a paper PDF.github.com · read 4 Oct 2026
- Poster dimensions
- The documented width-to-height aspect ratio range is 1.4 to 2.github.com · read 4 Oct 2026
- Purpose
- PosterGen generates academic posters from research papers using a multi-agent large language model framework guided by design principles.github.com · read 4 Oct 2026
