Extracting comments/annotations from PDF sequentially - Python [closed]

Question

I am trying to extract comments from a PDF using Python. These are the two pieces of code that I have tested:

One using PyPDF2:

import PyPDF2

src = 'xxxx.pdf'
input1 = PyPDF2.PdfFileReader(open(src, "rb"))
nPages = input1.getNumPages()

df_comments = pd.DataFrame()
for i in range(nPages) :
    annotation = []
    page = []
    page0 = input1.getPage(i)
    try :
        for annot in page0['/Annots'] :
            annotation.append(annot.getObject())
        page = [i+1] * len(annotation)
        page = pd.DataFrame(page)
        annotation = pd.DataFrame(annotation)
        df_temp = pd.concat([page, annotation], axis=1)
        df_comments = pd.concat([df_comments, df_temp], ignore_index=True)
    except : 
        # there are no annotations on this page
        pass

and the other using fitz:

import fitz
doc = fitz.open(src)
for i in range(doc.pageCount):
    page = doc[i]
    for annot in page.annots():
        print(annot.info)

The comments are getting extracted, however when I check the PDF I see that the comments are not being extracted sequentially. I have tried to check other parameters like creation date, modification date but that is not helping me.

Is their a way I can extract them serially as they are appearing in the PDF? Or Can I extract the text as well from the PDF against which the comment has been tagged?

Answer 1

I'm the current maintainer of PyPDF2.

The annotations are currently extracted in the order they appear in the annotations dictionary.

If you have a sensible way to sort them, feel free to open a feature request in the PyPDF2 issue tracker on github.