Text extraction is one of the most fundamental features of GroupDocs.Parser. The API allows you to extract text from:
PDF documents
Microsoft Office documents (Word, Excel, PowerPoint)
Email messages
Images (with OCR)
eBooks (EPUB, FB2, CHM)
And 65+ other formats
GroupDocs.Parser’s text extractor is easy to use and powerful at the same time. For advanced text extraction scenarios, refer to the advanced usage section.
Extract text from documents
To extract text from documents, simply call the get_text method:
The following sample file is used in this example: sample.docx
Supply Agreement | Harbor Lane Provisions and Northwind Coffee Roasters | Confidential
Supply Agreement
Harbor Lane Provisions and Northwind Coffee Roasters
1. Parties
Buyer: Harbor Lane Provisions, 18 Quayside Road, Port Ellery, represented by Lena Park, Procurement Lead.
Supplier: Northwind Coffee Roasters, 4 Roastery Lane, Millbrook, represented by Alex Chen.
This agreement takes effect on 12 January 2026 and replaces the agreement of January 2023.
[TRUNCATED]
The method returns the extracted text as a str, or None if text extraction isn’t supported for the document format. The returned string also has a read_to_end() method, so code written for earlier versions, which returned a reader, keeps working.
Here are the steps to extract text from a document:
Instantiate the Parser object with the source document path
Call the get_text method
Check the result for None, then use the text
The following code snippet shows how to extract text from a document:
Extract text from local files
fromgroupdocs.parserimportParser# Create an instance of Parser classwithParser("./sample.docx")asparser:# Extract text into the readertext_reader=parser.get_text()iftext_readerisNone:print("Text extraction isn't supported for this format")else:# Print the extracted textprint(text_reader.read_to_end())
The following sample file is used in this example: sample.docx
Supply Agreement | Harbor Lane Provisions and Northwind Coffee Roasters | Confidential
Supply Agreement
Harbor Lane Provisions and Northwind Coffee Roasters
1. Parties
Buyer: Harbor Lane Provisions, 18 Quayside Road, Port Ellery, represented by Lena Park, Procurement Lead.
Supplier: Northwind Coffee Roasters, 4 Roastery Lane, Millbrook, represented by Alex Chen.
This agreement takes effect on 12 January 2026 and replaces the agreement of January 2023.
[TRUNCATED]
fromgroupdocs.parserimportParser# Open the file streamwithopen("sample.pdf","rb")asstream:# Create an instance of Parser class with the streamwithParser(stream)asparser:# Extract text into the readertext_reader=parser.get_text()iftext_readerisNone:print("Text extraction isn't supported for this format")else:# Print the extracted textprint(text_reader.read_to_end())
The following sample file is used in this example: sample.pdf
Investor relations
Annual Report 2025 | Port Ellery
Annual Report 2025
1. Overview
Harbor Lane Provisions supplies specialty food to 1,265 independent grocers, cafes and restaurants from its
Quayside warehouse in Port Ellery. In 2025 net revenue grew 15.1% to $21.4 million, driven by the Autumn
[TRUNCATED]
You can also extract text from specific pages in a document:
fromgroupdocs.parserimportParserwithParser("./sample.pdf")asparser:# Get document info to check page countdoc_info=parser.get_document_info()# Check if the document has pagesifdoc_info.page_count>0:# Extract text from the first page (page index is 0-based)text_reader=parser.get_text(0)iftext_readerisNone:print("Page text extraction isn't supported for this format")else:print("Text from page 1:")print(text_reader.read_to_end())
The following sample file is used in this example: sample.pdf
Text from page 1:
Investor relations
Annual Report 2025 | Port Ellery
Annual Report 2025
1. Overview
Harbor Lane Provisions supplies specialty food to 1,265 independent grocers, cafes and restaurants from its
[TRUNCATED]
To learn more about text extraction features, including formatted text, text structure, and search functionality, please refer to the advanced usage section.
GitHub examples
You may find more code examples in our GitHub repository:
Along with the full-featured library, we provide a free online text extractor app. You are welcome to extract text from your documents with our Free Online Document Parser App.
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