Microsoft Word#

Microsoft Word is a word processor developed by Microsoft.

This covers how to load Word documents into a document format that we can use downstream.

Using Docx2txt#

Load .docx using Docx2txt into a document.

!pip install docx2txt 
from langchain.document_loaders import Docx2txtLoader
loader = Docx2txtLoader("example_data/fake.docx")
data = loader.load()
data
[Document(page_content='Lorem ipsum dolor sit amet.', metadata={'source': 'example_data/fake.docx'})]

Using Unstructured#

from langchain.document_loaders import UnstructuredWordDocumentLoader
loader = UnstructuredWordDocumentLoader("example_data/fake.docx")
data = loader.load()
data
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx'}, lookup_index=0)]

Retain Elements#

Under the hood, Unstructured creates different “elements” for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".

loader = UnstructuredWordDocumentLoader("example_data/fake.docx", mode="elements")
data = loader.load()
data[0]
Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx', 'filename': 'fake.docx', 'category': 'Title'}, lookup_index=0)