# HKUDS/Paper2Slides

"Paper2Slides: From Paper to Presentation in One Click"

Repository: https://github.com/HKUDS/Paper2Slides
Canonical: https://ross.abutalabs.com/products/paper2slides
Language: Python
License: MIT
License Family: permissive
Topics: paper2slides, paper2poster, agentic-ai, llm-agents
Last push: 2026-05-20T09:08:14+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 83, release rhythm 35, longevity 19
- inputs: {"age_days": 269, "days_push": 105, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3822, forks 473 (observed 2026-08-28T04:08:21.984360+00:00)

## What it is
Paper2Slides is a Python application that converts research papers, reports, and documents into professional presentation slides and posters using LLM agents with RAG-powered content extraction. It supports multiple input formats (PDF, Word, Excel, PowerPoint, Markdown) and offers customizable styling themes with source-linked accuracy.

## Use cases
- turn a research paper pdf into presentation slides
- generate an academic poster from a paper
- convert a report into a slide deck automatically
- summarize a long document into presentation-ready slides
- create slides with custom styling from a paper
- extract figures and key points from papers into a deck

## When to choose
- you need to quickly turn papers or reports into slides or posters
- you want source-traceable slide content with RAG-based extraction
- you want themeable, presentation-quality output from multiple document formats

## When to avoid
- you need fine-grained manual control over every slide layout
- you cannot access the LLM APIs the tool depends on
- you need offline generation without large language model calls

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, rag, pdf, agent-framework, data-visualization
- domain: large-language-models, artificial-intelligence, pdf, developer-tools, education
- platform: python, cli, cross-platform
- tags: slides-generation, poster-generation, document-to-slides, llm-agents, presentation, academic-writing, natural-language-processing

## Member repositories
- HKUDS/Paper2Slides (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:21.984360+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:26:24.020880+00:00, confidence not recorded.
  - readme: https://github.com/HKUDS/Paper2Slides (fetched 2026-08-28T04:08:21.984360+00:00, sha 9074e2312808)
- Data as of 2026-08-30T08:39:29.467469+00:00.