-
Notifications
You must be signed in to change notification settings - Fork 0
/
get_pdf.py
160 lines (95 loc) · 4.22 KB
/
get_pdf.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
import os
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup
import pandas as pd
import image
import pytesseract
import sys
from pdf2image import convert_from_path
import json
def extract_text(filename):
PDF_file = filename
TESSER_PATH = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
POPPLER_PATH = r"C:\Users\DreamCatcher\Desktop\poppler-22.01.0\Library\bin" #include bin
pytesseract.pytesseract.tesseract_cmd = TESSER_PATH
'''
Part #1 : Converting PDF to images
'''
# Store all the pages of the PDF in a variable
try:
pages = convert_from_path(PDF_file,poppler_path=POPPLER_PATH,dpi=200,first_page=1,last_page=10,fmt='jpg')
except:
return "Invalid Pdf"
print("converted to image")
# Counter to store images of each page of PDF to image
image_counter = 1
#outfile = "out_text.txt"
# Open the file in append mode so that
# All contents of all images are added to the same file
#f = open(outfile, "a", encoding="utf-8")
# Iterate through all the pages stored above
complete_text = ""
for page in pages:
filename = "page1"+".jpg"
# Save the image of the page in system
page.save(filename, 'JPEG')
text = str(((pytesseract.image_to_string(filename,lang="mar"))))
text = text.replace('-\n', '')
if(text):
print(text)
# Finally, write the processed text to the file.
#f.write(text)
complete_text += text
# Increment the counter to update filename
image_counter = image_counter + 1
'''
Part #2 - Recognizing text from the images using OCR
'''
# Variable to get count of total number of pages
filelimit = image_counter-1
return complete_text[-300:]
csv_cont = pd.read_csv("task.csv")
urls = list(csv_cont["https://mpsctopper.com/wp-content/uploads/2022/01/12th-std-Political-Science-Book-in-Marathi.pdf"])
urls.insert(0,"https://mpsctopper.com/wp-content/uploads/2022/01/12th-std-Political-Science-Book-in-Marathi.pdf")
#print(urls)
json_data = []
content = ""
for url in urls:
if ".pdf" in url:
with open("pdffile.pdf", 'wb') as f:
f.write(requests.get(url).content)
content=extract_text("pdffile.pdf")
json_data.append({"page-url":url,"pdf-url":url, "pdf-content":content})
with open("pdf_extract.json", 'w', encoding='utf-8') as f:
json.dump(json_data, f, ensure_ascii=False, indent=4)
else:
response = requests.get(url)
soup= BeautifulSoup(response.text, "html.parser")
links =[]
for link in soup.select("a[href$='.pdf']"):
if urljoin(url,link['href']) not in links:
print("downloading pdf from ",urljoin(url,link['href']))
with open("pdffile.pdf", 'wb') as f:
f.write(requests.get(urljoin(url,link['href'])).content)
content=extract_text("pdffile.pdf")
json_data.append({"page-url":url,"pdf-url":str(urljoin(url,link['href'])), "pdf-content":content})
with open("pdf_extract.json", 'w', encoding='utf-8') as f:
json.dump(json_data, f, ensure_ascii=False, indent=4)
links.append(urljoin(url,link['href']))
url = "https://archive.org/details/marathi_202111/page/n7/mode/2up?view=theater"
#If there is no such folder, the script will create one automatically
def fetch_pdfs(url):
response = requests.get(url)
soup= BeautifulSoup(response.text, "html.parser")
links =[]
for link in soup.select("a[href$='.pdf']"):
if link not in links:
links.append(urljoin(url,link['href']))
#print("links",links)
'''for link in soup.select("a[href$='.pdf']"):
print(link)
#Name the pdf files using the last portion of each link which are unique in this case
filename = link['href'].split('/')[-1]
with open(filename, 'wb') as f:
f.write(requests.get(urljoin(url,link['href'])).content)'''