PptxConverter

class PptxConverter(DocumentConverter):
    """Converts PPTX files to Markdown.
    
    Supports headings, tables and images with alt text.
    """

def __init__(self):
    super().__init__()
    self._html_converter = HtmlConverter()

def accepts(
    file_stream: BinaryIO,
    stream_info: StreamInfo,
    **kwargs: Any,
) -> bool

def convert(
    file_stream: BinaryIO,
    stream_info: StreamInfo,
    **kwargs: Any,
) -> DocumentConverterResult

### Chart: Sales by Quarter

| Category | Q1 | Q2 | Q3 | Q4 |
|----------|----|----|----|----|  
| Product A | 100 | 150 | 200 | 180 |
| Product B | 80 | 90 | 120 | 140 |

from markitdown.converters import PptxConverter
from markitdown._stream_info import StreamInfo

converter = PptxConverter()

with open("presentation.pptx", "rb") as f:
    stream_info = StreamInfo(extension=".pptx")
    result = converter.convert(f, stream_info)
    print(result.markdown)

from openai import OpenAI

client = OpenAI(api_key="your-api-key")

with open("presentation.pptx", "rb") as f:
    stream_info = StreamInfo(extension=".pptx")
    result = converter.convert(
        f, 
        stream_info,
        llm_client=client,
        llm_model="gpt-4o",
        llm_prompt="Describe this slide image in detail."
    )
    print(result.markdown)

with open("presentation.pptx", "rb") as f:
    stream_info = StreamInfo(extension=".pptx")
    result = converter.convert(
        f,
        stream_info,
        keep_data_uris=True  # Embed images as data URIs
    )
    print(result.markdown)

<!-- Slide number: 1 -->
# Welcome to Our Product

Introduction to the new features

![A screenshot showing the product dashboard with analytics](Picture1.jpg)

### Notes:
Remember to emphasize the key benefits

<!-- Slide number: 2 -->
# Sales Data

### Chart: Quarterly Revenue

| Category | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| Revenue | 100000 | 120000 | 150000 | 180000 |

sorted_shapes = sorted(
    slide.shapes,
    key=lambda x: (x.top, x.left)
)