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Any2Poster
What it is
Any2Poster turns documents, slides, notebooks, web content, and videos into academic posters. Inputs include PDF, DOCX, PPTX, LaTeX, Markdown, plain text, Jupyter notebooks, HTML, URLs, and YouTube URLs. It produces PDF, PNG, and HTML artifacts, with custom poster sizes and print-ready export listed. A six-stage workflow parses, chunks, analyzes, plans, generates, and compiles the poster; checkpoints allow a run to resume from cached stages. Poster text is rendered with HTML and CSS through Playwright, which the project says avoids typography hallucination. Suitable figures can be preserved from source material, while panels without suitable figures may use AI image generation. An optional vision-language feedback loop checks overflow, blank space, font size, figure balance, and reading order. Setup requires Python 3.10 or newer, Playwright Chromium, and OPENROUTER_API_KEY. The project is open source under an MIT license.
For and against
For
- Accepts documents, notebooks, URLs, and YouTube URLs
- Exports PDF, PNG, and HTML artifacts
- Checkpointed six-stage workflow supports resuming
- Optional feedback checks layout issues
- Custom themes, colors, and poster dimensions
Against
- Requires Python 3.10 or newer
- Requires Playwright Chromium installation
- Needs an OPENROUTER_API_KEY
- Web interface is coming soon
The verdict
Any2Poster offers a broad input pipeline, multiple poster outputs, and optional visual review. Its technical setup and required API key make it better suited to users comfortable running open-source projects.
Who it suits
It is aimed at researchers and others who need academic posters from varied source material. It suits users comfortable with Python setup, API keys, and source or Docker installation.
On the record
- API key requirement
- The README says the only required key to get started is OPENROUTER_API_KEY.github.com · read 7 Oct 2026
- Availability
- The repository describes Any2Poster as open source and displays an MIT license.github.com · read 8 Oct 2026
- Checkpointing
- The six pipeline stages are checkpointed, and a run can resume from cached checkpoints.github.com · read 7 Oct 2026
- Deployment
- The repository documents installation from source and provides Docker build and run instructions.github.com · read 8 Oct 2026
- Evaluation
- Any2Poster Bench evaluates poster generation across input formats and domains using quiz scoring and vision-language-model judgments.any2poster.github.io · read 7 Oct 2026
- Feedback
- An optional panel-level vision-language model feedback loop checks for issues such as overflow, blank space, font size, figure balance, and reading order.github.com · read 8 Oct 2026
- Figures and data
- The project says it preserves suitable figures extracted from the source and validates chart values against source text before image generation.github.com · read 8 Oct 2026
- Input formats
- It accepts PDF, DOCX, PPTX, LaTeX, Markdown or plain text, Jupyter notebooks, HTML or URLs, and YouTube video URLs.github.com · read 8 Oct 2026
- Installation requirement
- The README lists Python 3.10 or newer as a requirement and provides installation instructions for Windows, macOS, and Linux.github.com · read 7 Oct 2026
- Integrations
- The documented setup requires an OpenRouter API key; the project also names Docling, Playwright, and Gemini 3 Pro in its pipeline.github.com · read 8 Oct 2026
- Intended audience
- The project describes its output as academic posters and provides an evaluation benchmark for poster generation across input formats and content domains.any2poster.github.io · read 8 Oct 2026
- Output formats
- It can produce PDF and PNG posters, along with an HTML artifact.github.com · read 8 Oct 2026
- Outputs
- The project lists PDF, PNG, and HTML artifact outputs.github.com · read 7 Oct 2026
- Purpose
- Any2Poster turns documents, slideshows, notebooks, and videos into publication-quality academic posters.github.com · read 8 Oct 2026
- Quality feedback
- An optional panel-level vision-language-model feedback loop checks issues such as overflow, blank space, font size, figure balance, and reading order.github.com · read 7 Oct 2026
- Rendering
- Poster text is rendered with HTML and CSS using Playwright, which the project says avoids typography hallucinations.github.com · read 8 Oct 2026
- Requirements
- The project lists Python 3.10 or later and requires installing the Playwright Chromium browser for rendering.github.com · read 8 Oct 2026
- Themes
- It includes named color themes, automatic theme selection, and custom color controls.github.com · read 8 Oct 2026
