small formatting change

Dockerfile

@@ -17,7 +17,6 @@ RUN pip install markitdown
 # Default USERID and GROUPID
 ARG USERID=10000
 ARG GROUPID=10000
-
 USER $USERID:$GROUPID
 
 ENTRYPOINT [ "markitdown" ]

README.md

@@ -33,20 +33,12 @@ Or use `-o` to specify the output file:
 markitdown path-to-file.pdf -o document.md
 ```
 
-To use Document Intelligence conversion:
-
-```bash
-markitdown path-to-file.pdf -o document.md -d -e "<document_intelligence_endpoint>"
-```
-
 You can also pipe content:
 
 ```bash
 cat path-to-file.pdf | markitdown
 ```
 
-More information about how to set up an Azure Document Intelligence Resource can be found [here](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/create-document-intelligence-resource?view=doc-intel-4.0.0)
-
 ### Python API
 
 Basic usage in Python:
@@ -59,16 +51,6 @@ result = md.convert("test.xlsx")
 print(result.text_content)
 ```
 
-Document Intelligence conversion in Python:
-
-```python
-from markitdown import MarkItDown
-
-md = MarkItDown(docintel_endpoint="<document_intelligence_endpoint>")
-result = md.convert("test.pdf")
-print(result.text_content)
-```
-
 To use Large Language Models for image descriptions, provide `llm_client` and `llm_model`:
 
 ```python

pyproject.toml

@@ -42,8 +42,6 @@ dependencies = [
   "pathvalidate",
   "charset-normalizer",
   "openai",
-  "azure-ai-documentintelligence",
-  "azure-identity"
 ]
 
 [project.urls]

src/markitdown/__about__.py

@@ -1,4 +1,4 @@
 # SPDX-FileCopyrightText: 2024-present Adam Fourney <adamfo@microsoft.com>
 #
 # SPDX-License-Identifier: MIT
-__version__ = "0.0.1a4"
+__version__ = "0.0.1a3"

src/markitdown/__main__.py

@@ -3,7 +3,6 @@
 # SPDX-License-Identifier: MIT
 import argparse
 import sys
-import shutil
 from textwrap import dedent
 from .__about__ import __version__
 from ._markitdown import MarkItDown, DocumentConverterResult
@@ -52,48 +51,22 @@ def main():
         help="show the version number and exit",
     )
 
+    parser.add_argument("filename", nargs="?")
     parser.add_argument(
         "-o",
         "--output",
         help="Output file name. If not provided, output is written to stdout.",
     )
-
-    parser.add_argument(
-        "-d",
-        "--use-docintel",
-        action="store_true",
-        help="Use Document Intelligence to extract text instead of offline conversion. Requires a valid Document Intelligence Endpoint.",
-    )
-
-    parser.add_argument(
-        "-e",
-        "--endpoint",
-        type=str,
-        help="Document Intelligence Endpoint. Required if using Document Intelligence.",
-    )
-
-    parser.add_argument("filename", nargs="?")
     args = parser.parse_args()
 
-    which_exiftool = shutil.which("exiftool")
-
-    if args.use_docintel:
-        if args.endpoint is None:
-            raise ValueError(
-                "Document Intelligence Endpoint is required when using Document Intelligence."
-            )
-        elif args.filename is None:
-            raise ValueError("Filename is required when using Document Intelligence.")
-        markitdown = MarkItDown(exiftool_path=which_exiftool, docintel_endpoint=args.endpoint)
-    else:
-        markitdown = MarkItDown(exiftool_path=which_exiftool)
-
     if args.filename is None:
+        markitdown = MarkItDown()
         result = markitdown.convert_stream(sys.stdin.buffer)
+        _handle_output(args, result)
     else:
+        markitdown = MarkItDown()
         result = markitdown.convert(args.filename)
-
-    _handle_output(args, result)
+        _handle_output(args, result)
 
 
 def _handle_output(args, result: DocumentConverterResult):

src/markitdown/_markitdown.py

@@ -33,22 +33,6 @@ import requests
 from bs4 import BeautifulSoup
 from charset_normalizer import from_path
 
-# Azure imports
-from azure.ai.documentintelligence import DocumentIntelligenceClient
-from azure.ai.documentintelligence.models import (
-    AnalyzeDocumentRequest,
-    AnalyzeResult,
-    DocumentAnalysisFeature,
-)
-from azure.identity import DefaultAzureCredential
-
-# TODO: currently, there is a bug in the document intelligence SDK with importing the "ContentFormat" enum.
-# This constant is a temporary fix until the bug is resolved.
-CONTENT_FORMAT = "markdown"
-
-# Override mimetype for csv to fix issue on windows
-mimetypes.add_type("text/csv", ".csv")
-
 # Optional Transcription support
 IS_AUDIO_TRANSCRIPTION_CAPABLE = False
 try:
@@ -220,7 +204,7 @@ class HtmlConverter(DocumentConverter):
         return result
 
     def _convert(self, html_content: str) -> Union[None, DocumentConverterResult]:
-        """Helper function that converts an HTML string."""
+        """Helper function that converts and HTML string."""
 
         # Parse the string
         soup = BeautifulSoup(html_content, "html.parser")
@@ -239,9 +223,6 @@ class HtmlConverter(DocumentConverter):
 
         assert isinstance(webpage_text, str)
 
-        # remove leading and trailing \n
-        webpage_text = webpage_text.strip()
-
         return DocumentConverterResult(
             title=None if soup.title is None else soup.title.string,
             text_content=webpage_text,
@@ -790,35 +771,6 @@ class PptxConverter(HtmlConverter):
     Converts PPTX files to Markdown. Supports heading, tables and images with alt text.
     """
 
-    def _get_llm_description(
-        self, llm_client, llm_model, image_blob, content_type, prompt=None
-    ):
-        if prompt is None or prompt.strip() == "":
-            prompt = "Write a detailed alt text for this image with less than 50 words."
-
-        image_base64 = base64.b64encode(image_blob).decode("utf-8")
-        data_uri = f"data:{content_type};base64,{image_base64}"
-
-        messages = [
-            {
-                "role": "user",
-                "content": [
-                    {
-                        "type": "image_url",
-                        "image_url": {
-                            "url": data_uri,
-                        },
-                    },
-                    {"type": "text", "text": prompt},
-                ],
-            }
-        ]
-
-        response = llm_client.chat.completions.create(
-            model=llm_model, messages=messages
-        )
-        return response.choices[0].message.content
-
     def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
         # Bail if not a PPTX
         extension = kwargs.get("file_extension", "")
@@ -839,38 +791,17 @@ class PptxConverter(HtmlConverter):
                 # Pictures
                 if self._is_picture(shape):
                     # https://github.com/scanny/python-pptx/pull/512#issuecomment-1713100069
-
-                    llm_description = None
-                    alt_text = None
-
-                    llm_client = kwargs.get("llm_client")
-                    llm_model = kwargs.get("llm_model")
-                    if llm_client is not None and llm_model is not None:
-                        try:
-                            llm_description = self._get_llm_description(
-                                llm_client,
-                                llm_model,
-                                shape.image.blob,
-                                shape.image.content_type,
-                            )
-                        except Exception:
-                            # Unable to describe with LLM
-                            pass
-
-                    if not llm_description:
-                        try:
-                            alt_text = shape._element._nvXxPr.cNvPr.attrib.get(
-                                "descr", ""
-                            )
-                        except Exception:
-                            # Unable to get alt text
-                            pass
+                    alt_text = ""
+                    try:
+                        alt_text = shape._element._nvXxPr.cNvPr.attrib.get("descr", "")
+                    except Exception:
+                        pass
 
                     # A placeholder name
                     filename = re.sub(r"\W", "", shape.name) + ".jpg"
                     md_content += (
                         "\n!["
-                        + (llm_description or alt_text or shape.name)
+                        + (alt_text if alt_text else shape.name)
                         + "]("
                         + filename
                         + ")\n"
@@ -1387,74 +1318,6 @@ class ZipConverter(DocumentConverter):
             )
 
 
-class DocumentIntelligenceConverter(DocumentConverter):
-    """Specialized DocumentConverter that uses Document Intelligence to extract text from documents."""
-
-    def __init__(
-        self,
-        endpoint: str,
-        api_version: str = "2024-07-31-preview",
-    ):
-        self.endpoint = endpoint
-        self.api_version = api_version
-        self.doc_intel_client = DocumentIntelligenceClient(
-            endpoint=self.endpoint,
-            api_version=self.api_version,
-            credential=DefaultAzureCredential(),
-        )
-
-    def convert(
-        self, local_path: str, **kwargs: Any
-    ) -> Union[None, DocumentConverterResult]:
-        # Bail if extension is not supported by Document Intelligence
-        extension = kwargs.get("file_extension", "")
-        docintel_extensions = [
-            ".pdf",
-            ".docx",
-            ".xlsx",
-            ".pptx",
-            ".html",
-            ".jpeg",
-            ".jpg",
-            ".png",
-            ".bmp",
-            ".tiff",
-            ".heif",
-        ]
-        if extension.lower() not in docintel_extensions:
-            return None
-
-        # Get the bytestring for the local path
-        with open(local_path, "rb") as f:
-            file_bytes = f.read()
-
-        # Certain document analysis features are not availiable for filetypes (.xlsx, .pptx, .html)
-        if extension.lower() in [".xlsx", ".pptx", ".html"]:
-            analysis_features = []
-        else:
-            analysis_features = [
-                DocumentAnalysisFeature.FORMULAS,  # enable formula extraction
-                DocumentAnalysisFeature.OCR_HIGH_RESOLUTION,  # enable high resolution OCR
-                DocumentAnalysisFeature.STYLE_FONT,  # enable font style extraction
-            ]
-
-        # Extract the text using Azure Document Intelligence
-        poller = self.doc_intel_client.begin_analyze_document(
-            model_id="prebuilt-layout",
-            body=AnalyzeDocumentRequest(bytes_source=file_bytes),
-            features=analysis_features,
-            output_content_format=CONTENT_FORMAT,  # TODO: replace with "ContentFormat.MARKDOWN" when the bug is fixed
-        )
-        result: AnalyzeResult = poller.result()
-
-        # remove comments from the markdown content generated by Doc Intelligence and append to markdown string
-        markdown_text = re.sub(r"<!--.*?-->", "", result.content, flags=re.DOTALL)
-        return DocumentConverterResult(
-            title=None,
-            text_content=markdown_text,
-        )
-
-
 class FileConversionException(BaseException):
     pass
 
@@ -1474,7 +1337,6 @@ class MarkItDown:
         llm_model: Optional[str] = None,
         style_map: Optional[str] = None,
         exiftool_path: Optional[str] = None,
-        docintel_endpoint: Optional[str] = None,
         # Deprecated
         mlm_client: Optional[Any] = None,
         mlm_model: Optional[str] = None,
@@ -1544,12 +1406,6 @@ class MarkItDown:
         self.register_page_converter(ZipConverter())
         self.register_page_converter(OutlookMsgConverter())
 
-        # Register Document Intelligence converter at the top of the stack if endpoint is provided
-        if docintel_endpoint is not None:
-            self.register_page_converter(
-                DocumentIntelligenceConverter(endpoint=docintel_endpoint)
-            )
-
     def convert(
         self, source: Union[str, requests.Response, Path], **kwargs: Any
     ) -> DocumentConverterResult:  # TODO: deal with kwargs