CkPython 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. CkPython

import sys
import chilkat

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 = chilkat.CkPdf()
success = pdf.LoadFile("qa_data/pdf/long_report.pdf")
if (success == False):
    print(pdf.lastErrorText())
    sys.exit()

print("Number of pages: " + str(pdf.get_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 = chilkat.CkJsonObject()
sbText = chilkat.CkStringBuilder()
jsonOut = chilkat.CkJsonObject()

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

print("Extracted " + str(sbText.get_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): []