Extract text in Accurate mode Leave feedback
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GroupDocs.Parser provides the functionality to extract text from documents with the highest quality.
The Accurate mode is the default text extraction mode, providing the best possible text quality from documents.
You can extract text from the entire document or from individual pages.
Before you begin, ensure you have:
- GroupDocs.Parser for Python via .NET installed
- A valid license or trial
- Sample documents for testing
To extract text from the entire document in Accurate mode, use the get_text() method:
from groupdocs.parser import Parser
# Create an instance of Parser class
with Parser("./sample.pdf") as parser:
# Extract text from the document
text_reader = parser.get_text()
# Check if text extraction is supported
if text_reader is None:
print("Text extraction isn't supported")
else:
# Print the extracted text
print(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]
Expected behavior: The method returns the entire document text as a str (which also answers read_to_end()), or None if text extraction is not supported for the document format.
To extract text from a specific page:
from groupdocs.parser import Parser
# Create an instance of Parser class
with Parser("./sample.pdf") as parser:
# Check if text extraction is supported
if not parser.features.text:
print("Document doesn't support text extraction")
else:
# Get document info
info = parser.get_document_info()
# Check if document has pages
if info.page_count == 0:
print("Document has no pages")
else:
# Iterate over pages
for page_index in range(info.page_count):
# Print page number
print(f"\nPage {page_index + 1}/{info.page_count}")
# Extract text from the page
text_reader = parser.get_text(page_index)
# Print the page text
if text_reader is not None:
print(text_reader.read_to_end())
The following sample file is used in this example: sample.pdf
Page 1/4
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]
Expected behavior: The method extracts text from each page individually, allowing you to process documents page by page.
Here’s a robust example with error handling:
from groupdocs.parser import Parser
def extract_text_safely(file_path):
try:
with Parser(file_path) as parser:
# Check feature support
if not parser.features.text:
print(f"Text extraction not supported for {file_path}")
return None
# Extract text
text_reader = parser.get_text()
if text_reader is not None:
return text_reader.read_to_end()
except Exception as e:
print(f"Error extracting text: {e}")
return None
# Usage
text = extract_text_safely("sample.docx")
if text:
print(f"Extracted {len(text)} characters")
The following sample file is used in this example: sample.docx
Extracted 2584 characters
- Accurate mode is the default and provides the best text quality
- The
get_text()method returnsNoneif text extraction is not supported - Use
parser.features.textto check if text extraction is available before callingget_text() - For better performance with large documents, consider extracting text page by page
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