Bibby AI vs PosterGen
Bibby AI
trybibby.comPosterGen
github.comSide by side
| Figure | Bibby AI | PosterGen |
|---|---|---|
| Price from | $16/mo | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · AI Poster Generators | 8.0 (#7) | 7.5 (#16) |
Plans
In their own words
Bibby AI
Bibby AI is an AI LaTeX editor and research assistant for writing, citing, reviewing, and compiling research papers. Its listed tools include writing assistance, smart citations, table and equation generation, paper review, abstract and literature review generation, and LaTeX error detection. Citation search covers scholarly works across arXiv, Semantic Scholar, Crossref, PubMed, bioRxiv, medRxiv, OpenAlex, and USPTO. More than 500 academic venue templates are available, and researchers can connect tools including Zotero, EndNote, Mendeley, GitHub, Word, and ORCID. Bibby is offered through web, API, extension, and self-hosted options. The Free plan provides 2 projects, 30 compiles, and 2 AI completions per month; collaboration and priority support are excluded. Bibby says documents are encrypted at rest and in transit and are not used to train models. The pricing page lists paid service from $18/user/mo, but its displayed Pro price, “$39$16/month,” does not clarify the billing interval.
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.