SlidesAI

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Generate presentation slides automatically using AI from text, PDFs, or structured content.

SlidesAI 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# SlidesAI

Give this tool a PDF or text file, it automatically extracts the content and builds beautiful PDF slides or a single-page academic poster.

**Demos:** [OpenAI Pitch Deck](demo/openai_pitch/) ([source](demo/openai_pitch.txt)) · [Attention Is All You Need](demo/transformer/) ([source](demo/transformer.pdf))

### Slide themes

<table>
<tr>
 <td align="center"><img src="demo/screenshots/designer.png" width="280"/> designer</td>
 <td align="center"><img src="demo/screenshots/editorial.png" width="280"/> editorial</td>
 <td align="center"><img src="demo/screenshots/midnight.png" width="280"/> midnight</td>
</tr>
<tr>
 <td align="center"><img src="demo/screenshots/blush.png" width="280"/> blush</td>
 <td align="center"><img src="demo/screenshots/tech.png" width="280"/> tech</td>
 <td align="center"><img src="demo/screenshots/premium.png" width="280"/> premium</td>
</tr>
<tr>
 <td align="center"><img src="demo/screenshots/terra.png" width="280"/> terra</td>
 <td align="center"><img src="demo/screenshots/slate.png" width="280"/> slate</td>
 <td align="center"><img src="demo/screenshots/crimson.png" width="280"/> crimson</td>
</tr>
</table>

### Academic poster examples

<table>
<tr>
 <td align="center"><img src="demo/screenshots/posters/var_poster_premium.jpg" width="560"/> premium</td>
 <td align="center"><img src="demo/screenshots/posters/var_poster_terra.jpg" width="560"/> terra</td>
</tr>
</table>

---

## ✨ Features
- **Smart Extraction:** Pulls text, tables, LaTeX equations, and figures from PDFs automatically.
- **LLM-Powered Writing:** Works with Gemini, OpenAI, Claude, and OpenRouter. Adjustable verbosity: concise, normal, or detailed.
- **Academic & General Purpose:** Built for research and technical content, but works for any topic or industry.
- **9 Handcrafted Themes:** Professionally designed styles with curated typography and color palettes (see below).
- **Academic Poster Generator:** Add `--poster` to produce a print-ready single-page HTML poster (A0 landscape) instead of a slide deck.

---

## 🛠️ Installation

**1. Clone and install everything in one command:**
```bash
git clone https://github.com/yourusername/slidesai.git
cd slidesai
python3 install.py
```

This installs all Python dependencies and Marp CLI automatically. If npm is not found, the script will skip Marp and print instructions — you only need it for PDF rendering.

*(Note: `marker-pdf` may require extra system dependencies for OCR on some platforms. Refer to their docs if you hit issues. Google Chrome or Chromium must be installed for PDF rendering.)*

**2. Setup your API Key:**
```bash
cp project_secrets.py.example project_secrets.py
```
Set `LLM_PROVIDER` and the corresponding key in `project_secrets.py`. Only the key for your chosen provider is required:

| Provider | Key variable | Default model |
|----------|-------------|---------------|
| `google` | `GEMINI_API_KEY` | `gemini-3-pro-preview` |
| `openrouter` | `OPENROUTER_API_KEY` | `gemini-3-pro-preview` |
| `openai` | `OPENAI_API_KEY` | `gpt-5.2` |
| `anthropic` | `ANTHROPIC_API_KEY` | `claude-opus-4-6` |

*(This file is gitignored to keep your keys safe.)*

---

## 🚀 Quick Start

Just point `build.py` at your file and everything happens automatically:

```bash
# From a PDF (extracts → generates slides → renders PDF)
python3 build.py paper.pdf

# From a text or markdown file
python3 build.py notes.txt --theme midnight

# Control slide count and detail level
python3 build.py paper.pdf --theme designer --num_slides 15 --verbosity detailed

# Extract only specific pages, concise output
python3 build.py paper.pdf --theme slate --page_range 0-10 --num_slides 10 --verbosity concise

# Use a different LLM provider
python3 build.py paper.pdf --provider openai --model gpt-5.2
python3 build.py paper.pdf --provider anthropic

# Generate an academic poster (HTML) instead of slides
python3 build.py paper.pdf --poster
python3 build.py paper.pdf --poster --theme crimson
```

Your output files will appear in a folder named after your input file.

> **💡 Poster tip:** Open the generated `{input_name}_poster.html` in any browser and use **File → Print → Save as PDF** (set paper size to A0, landscape) for a print-ready conference poster.

> **💡 Re-style without calling the LLM again:**
> After your first build, a cached LLM response is saved. Re-run with `--use_cached` to try a different theme instantly — no API call needed:
> ```bash
> # Slides
> python3 build.py paper.pdf --theme midnight --use_cached
> # Poster
> python3 build.py paper.pdf --poster --theme crimson --use_cached
> ```

### `build.py` options
```
positional:
  input_file       Path to input file (.pdf, .txt, or .md)

options:
  -o, --output_dir   Output directory (default: folder named after input file)
  --poster           Generate a single-page HTML academic poster instead of slides
  --theme            Theme (default: premium)
  --num_slides       Target number of slides — slides only (default: 14-20)
  --verbosity        Slide text density: concise | normal | detailed — slides only (default: normal)
  --provider         LLM provider: google | openrouter | openai | anthropic (default: google)
  --model            Model name, e.g. gpt-5.2, claude-opus-4-6, gemini-3-pro-preview (default: provider's recommended model)
  --use_cached       Skip the LLM call and reuse the cached response (default: off)
  --page_range       Pages to extract from PDF, e.g. 0-5, 10 (default: all pages)
  --disable_ocr      Disable OCR for PDF extraction (default: OCR enabled)
  --skip_pdf         Skip the final Marp-to-PDF render step — slides only (default: off)
```

---

## 🎨 Themes

| Theme | Vibe |
|-------|------|
| **designer** | Modern, vibrant — purple, teal, gold |
| **editorial** | Refined, nature-inspired — forest green, gold, cream |
| **midnight** | Dark, futuristic — cyan glow, deep navy |
| **blush** | Warm, startup energy — rose, coral, peach |
| **tech** | Clean, SaaS-inspired — electric blue, slate |
| **premium** | Luxury, Apple-keynote feel — deep purple, gold |
| **terra** | Earthy, organic — terracotta, sand, forest green |
| **slate** | Minimal, corporate — cool grey, teal |
| **crimson** | Classic, academic — deep crimson, warm ivory |

---

## 🔧 Step-by-Step Pipeline (Advanced)

If you prefer finer control, you can run each step individually:

### Step 1: `extract_with_marker.py` — Extract Content from PDF
```bash
python3 extract_with_marker.py --pdf_path my_paper.pdf --output_dir my_project/
```
Generates a markdown file and an `images/` folder in the output directory.

```
options:
  --pdf_path       Path to input PDF
  --output_dir     Directory for output assets (default: same directory as PDF)
  --page_range     Page range to extract, e.g. 0-5, 10, 12-14 (default: all pages)
  --disable_ocr    Disable OCR and rely on embedded PDF text (default: OCR enabled)
```

### Step 2a: `build_slides.py` — Generate Presentation Markdown
```bash
python3 build_slides.py \
    --input_file my_project/my_paper.md \
    --output_file my_project/my_presentation.md \
    --theme designer \
    --num_slides 15 \
    --verbosity normal
```

```
options:
  --input_file     Path to your extracted content markdown
  --output_file    Path to save the generated presentation markdown (default: {input_filename}_slides.md)
  --num_slides     Target number of slides (default: 14-20)
  --theme          Presentation theme (default: premium)
                   choices: designer | editorial | midnight | blush | tech | premium | terra | slate | crimson
  --verbosity      Slide text density: concise | normal | detailed (default: normal)
  --provider       LLM provider: google | openrouter | openai | anthropic (default: google)
  --model          Model name (default: provider's recommended model)
  --use_cached     Skip the LLM call and reuse a previously saved response (default: off)
  --no_page_numbers  Do not show page numbers on slides
  --poster         Generate an HTML academic poster instead of a slide deck
```

### Step 2b: `build_slides.py` — Generate Academic Poster (HTML)
```bash
python3 build_slides.py \
    --input_file my_project/my_paper.md \
    --output_file my_project/my_poster.html \
    --theme premium \
    --poster
```
Opens directly in the browser. Use **File → Print → Save as PDF** (A0 landscape) for a print-ready conference poster. A `llm_poster_raw.txt` cache file is saved alongside for fast re-theming with `--use_cached`.

### Step 3: `render_marp_pdf.py` — Render to PDF
```bash
python3 render_marp_pdf.py my_project/my_presentation.md
```
Automatically finds your Marp installation and Chrome to output `my_project/my_presentation.pdf`.

```
options:
  input_md         Path to the Marp markdown file
  -o, --output     Output PDF path (default: input filename with .pdf extension)
  --browser        Browser engine for Marp: auto | chrome | edge | firefox (default: auto)
```

---

## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.

## 📄 License
[MIT License](LICENSE) — free to use, modify, and distribute.

SlidesAI

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