# OpenDCAI/Paper2Any

Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.

Repository: https://github.com/OpenDCAI/Paper2Any
Canonical: https://ross.abutalabs.com/products/paper2any
Homepage: https://paper2any-studio.cpolar.cn/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agent, ai, aippt, langgraph, paper2slides, editable-pptx, ppt-generator
Last push: 2026-06-17T03:34:38+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 35, longevity 22
- inputs: {"age_days": 320, "days_push": 77, "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 2776, forks 195 (observed 2026-08-28T04:07:21.230405+00:00)

## What it is
Paper2Any is an open-source Python application that turns research papers, text, or topics into editable research figures, technical route diagrams, and presentation slides using AI agents. It supports paper PDFs, screenshots, and text as input and generates model diagrams, experimental plots, and editable PPTX decks.

## Use cases
- convert a research paper pdf into editable presentation slides
- generate a technical route diagram from paper text
- create editable pptx slides from a topic
- draw a model architecture diagram for a paper
- turn paper figures into editable research diagrams
- make an academic presentation from a pdf automatically

## When to choose
- you need editable (not image-only) slides or diagrams generated from academic papers
- you want an open-source, self-hosted alternative for paper-to-PPT workflows
- you work in Python and want to integrate paper figure generation into your pipeline

## When to avoid
- you need a polished commercial studio experience with team workspaces and online office previews
- you need general-purpose slide generation unrelated to research papers
- you cannot run Python 3.11+ or provide LLM API access

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, data-visualization, pdf, image-processing
- domain: artificial-intelligence, large-language-models, data-visualization, education, developer-tools
- platform: python, cross-platform
- tags: paper-to-slides, ppt-generator, editable-pptx, langgraph, scientific-figures, diagram-generation, academic-writing, web-server

## Member repositories
- OpenDCAI/Paper2Any (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:21.230405+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 2026-08-30T08:16:32.208214+00:00, confidence not recorded.
  - readme: https://github.com/OpenDCAI/Paper2Any (fetched 2026-08-28T04:07:21.230405+00:00, sha 19ea6d800276)
  - homepage: https://paper2any-studio.cpolar.cn/ (fetched 2026-08-29T09:55:55.060512+00:00, sha 81dc6262b73d)
- Data as of 2026-08-30T08:39:29.467469+00:00.