I have a PDF that i'm trying to get Tika to parse. The PDF is not OCR. Tesseract is installed on my machine.
I used ImageMagik to convert the file.tiff to file.pdf, so the tiff file I am parsing is a direct conversion from the PDF.
Tika parses the TIFF with no problems, but returns "None" content for the PDF. What gives? I'm using Tika 1.14.1, tesseract 3.03, leptonica-1.70
Here is the code...
from tika import parser
# This works
print(parser.from_file('/from/file.tiff', 'http://localhost:9998/tika'))
# This returns "None" for content
print(parser.from_file('/from/file.pdf', 'http://localhost:9998/tika'))
So, after some feedback from the Chris Mattman (who was wonderful, and very helpful!), I sorted out the issue.
His response:
Since Tika Python acts as a thin client to the REST server, you just need to make sure the REST server is started with a classpath configuration that sets the right flags for TesseractOCR, see here:
While I had read this before, the issue did not click for me until later and some further reading. TesseractOCR does not natively support OCR conversion of PDF's - therefore, Tika doesn't either as Tika relies on Tesseract's support of PDF conversion (and further, neither does tika-python)
My solution:
I combined subprocess, ImageMagick (CLI) and Tika to work together in python to first convert the PDF to a TIFF, and then allow Tika/Tesseract to perform an OCR conversion on the file.
Notes:
The code:
from tika import parser
import subprocess
import os
def ConvertPDFToOCR(file):
meta = parser.from_file(fil, 'http://localhost:9998/tika')
# Check if parsed content is NoneType and handle accordingly.
if "content" in meta and meta['content'] is None:
# Run ImageMagick via subprocess (command line)
params = ['convert', '-density', '300', u, '-depth', '8', '-strip', '-background', 'white', '-alpha', 'off', 'temp.tiff']
subprocess.check_call(params)
# Run Tika again on new temp.tiff file
meta = parser.from_file('temp.tiff', 'http://localhost:9998/tika')
# Delete the temporary file
os.remove('temp.tiff')
return meta['content']