Python Requires Chilkat v11.7.0+

Extract PDF Text to a StringBuilder and Save to a File

See more PDF Text Extraction Examples

Demonstrates ExtractTextSb, which writes the extracted text to a StringBuilder instead of returning it as a JSON string. Use it for large documents. The JSON output still receives the quality report. Chilkat2-Python

import sys
import chilkat2

success = False

# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

# The PDF used in this example is available at long_report.pdf

pdf = chilkat2.Pdf()
success = pdf.LoadFile("qa_data/pdf/long_report.pdf")
if (success == False):
    print(pdf.LastErrorText)
    sys.exit()

print("Number of pages: " + str(pdf.NumPages))

# ExtractTextSb takes the same operation and options as ExtractText, but the text
# goes to a StringBuilder.  This avoids building a very large JSON string for
# documents with many pages.
json = chilkat2.JsonObject()
sbText = chilkat2.StringBuilder()
jsonOut = chilkat2.JsonObject()

success = pdf.ExtractTextSb("text",json,sbText,jsonOut)
if (success == False):
    print(pdf.LastErrorText)
    sys.exit()

print("Extracted " + str(sbText.Length) + " characters.")

# Save the text to a file.
success = sbText.WriteFile("qa_output/long_report.txt","utf-8",False)
if (success == False):
    print(sbText.LastErrorText)
    sys.exit()

# The JSON output does not contain the text, but it still has the quality report.
print("Quality: " + jsonOut.StringOf("quality.rating"))
print("Pages with no text (need OCR): [" + jsonOut.StringOf("quality.pagesNeedingOcr") + "]")

# Sample output:

# Number of pages: 3
# Extracted 4522 characters.
# Quality: good
# Pages with no text (need OCR): []