How to extract text from pdf in python?

import csv    # spreadsheet outputimport re     # pattern matchingimport sys    # command-line argumentsimport zlib   # decompression# find deflated sectionsPARENT = b"FlateDecode"PARENTLEN = len(PARENT)START = b"stream\r\n"STARTLEN = len(START)END   = b"\r\nendstream"ENDLEN = len(END)# find output text in PostScript Tj and TJ fieldsPS_TEXT = re.compile(r"(?<!\\)\((.*?)(?<!\\)\)")# return desired per-person recordsRECORD = re.compile(r"Name : (.*?)Relation : (.*?)Address : (.*?)Age : (\d+)\s+Sex : (\w?)\s+(\d+)", re.DOTALL)def get_streams(byte_data):    streams = []    start_at = 0    while True:        # find block containing compressed data        p = byte_data.find(PARENT, start_at)        if p == -1:            # no more streams            break        # find start of data        s = byte_data.find(START, p + PARENTLEN)        if s == -1:            raise ValueError("Found parent at {} bytes with no start".format(p))        # find end of data        e = byte_data.find(END, s + STARTLEN)        if e == -1:            raise ValueError("Found start at {} bytes but no end".format(s))        # unpack compressed data        block = byte_data[s + STARTLEN:e]        unc = zlib.decompress(block)        streams.append(unc)        start_at = e + ENDLEN    return streamsdef depostscript(text):    out = []    for line in text.splitlines():        if line.endswith(" Tj"):            # new output line            s = "".join(PS_TEXT.findall(line))            out.append(s)        elif line.endswith(" TJ"):            # continued output line            s = "".join(PS_TEXT.findall(line))            out[-1] += s    return "\n".join(out)def main(in_pdf, out_csv):    # load .pdf file into memory    with open(in_pdf, "rb") as f:        pdf = f.read()    # get content of all compressed streams    # NB: sample file results in 32 streams    streams = get_streams(pdf)          # we only want the streams which contain text data    # NB: sample file results in 22 text streams    text_streams = []    for stream in streams:        try:            text = stream.decode()            text_streams.append(text)        except UnicodeDecodeError:            pass    # of the remaining blocks, we only want those containing the text '(Relation : '    # NB: sample file results in 4 streams    text_streams = [t for t in text_streams if '(Relation : ' in t]    # consolidate target text    # NB: sample file results in 886 lines of text    text = "\n".join(depostscript(ts) for ts in text_streams)    # pull desired data from text    records = []    for name,relation,address,age,sex,num in RECORD.findall(text):        name = name.strip()        relation = relation.strip()        t = address.strip().splitlines()        code = t[-1]        address = " ".join(t[:-1])        age = int(age)        sex = sex.strip()        num = int(num)        records.append((num, code, name, relation, address, age, sex))    # save results as csv    with open(out_csv, "w", newline='') as outf:        wr = csv.writer(outf)        wr.writerows(records)if __name__ == "__main__":    if len(sys.argv) < 3:        print("Usage: python {} input.pdf output.csv".format(__name__))    else:        main(sys.argv[1], sys.argv[2])

running at the command line:

python myscript.py voters.pdf voters.csv

it produces a .csv spreadsheet:

Reference: https://stackoverflow.com/questions/44099665/best-language-to-extract-pdf-text-and-tabulate-it-under-row-headers