What’s the Best Python Library for Extracting Text from PDFs?
python - Extract data from lines of a text file - Stack Overflow
Introducing Kreuzberg: A Simple, Modern Library for PDF and Document Text Extraction in Python
what's the best route to extract text from this image with python and opencv?
Can I parse PDFs in Python without using OCR?
Yes! If your PDF contains digital (selectable) text, you can extract it using PyPDF without OCR. This works best for PDFs exported from Word, LaTeX, or similar tools.
Can I extract structured data like paragraphs or table-like sections?
Absolutely. The Nutrient Processor API returns both plain text and structured JSON with text order and hierarchy, making it ideal for NLP or analysis pipelines.
Is PyPDF enough for enterprise projects?
Not always. PyPDF is great for simple tasks, but for large-scale, secure, or OCR-heavy workflows, a robust API like Nutrient’s is better suited.
Hello everyone, I hope you're all doing well! I’m currently on the lookout for a library that can extract text in paragraph chunks from PDFs. For instance, I need it to pull out the Introduction with all its paragraphs separately, the Conclusion with all its paragraphs separately, and so on, essentially chunking the text by paragraphs. Do you have any suggestions? Thanks!
The following will read everything into a dictionary keyed by player name. The value associated with each player is itself a dictionary acting as a record with named fields associated with the items converted to a format suitable for further processing.
info = {}
with open('scoring_info.txt') as input_file:
for line in input_file:
player, stats, outcome, date = (
item.strip() for item in line.split('-', 3))
stats = dict(zip(('kills', 'deaths', 'assists'),
map(int, stats.split('/'))))
date = tuple(map(int, date.split('-')))
info[player] = dict(zip(('stats', 'outcome', 'date'),
(stats, outcome, date)))
print('info:')
for player, record in info.items():
print(' player %r:' % player)
for field, value in record.items():
print(' %s: %s' % (field, value))
# sample usage
player = 'Fizz'
print('\n%s had %s kills in the game' % (player, info[player]['stats']['kills']))
Output:
info:
player 'Shyvana':
date: (2012, 11, 22)
outcome: Loss
stats: {'assists': 5, 'kills': 12, 'deaths': 4}
player 'Miss Fortune':
date: (2012, 11, 22)
outcome: Win
stats: {'assists': 3, 'kills': 12, 'deaths': 4}
player 'Fizz':
date: (2012, 11, 22)
outcome: Win
stats: {'assists': 5, 'kills': 12, 'deaths': 4}
Fizz had 12 kills in the game
Alternatively, rather than holding most of the data in dictionaries, which can make nested-field access a little awkward — info[player]['stats']['kills'] — you could instead use a little more advanced "generic" class to hold them, which will let you write info2[player].stats.kills instead.
To illustrate, here's almost the same thing using a class I've named Struct because it's somewhat like the C language's struct data type:
class Struct(object):
""" Generic container object """
def __init__(self, **kwds): # keyword args define attribute names and values
self.__dict__.update(**kwds)
info2 = {}
with open('scoring_info.txt') as input_file:
for line in input_file:
player, stats, outcome, date = (
item.strip() for item in line.split('-', 3))
stats = dict(zip(('kills', 'deaths', 'assists'),
map(int, stats.split('/'))))
victory = (outcome.lower() == 'win') # change to boolean T/F
date = dict(zip(('year','month','day'), map(int, date.split('-'))))
info2[player] = Struct(champ_name=player, stats=Struct(**stats),
victory=victory, date=Struct(**date))
print('info2:')
for rec in info2.values():
print(' player %r:' % rec.champ_name)
print(' stats: kills=%s, deaths=%s, assists=%s' % (
rec.stats.kills, rec.stats.deaths, rec.stats.assists))
print(' victorious: %s' % rec.victory)
print(' date: %d-%02d-%02d' % (rec.date.year, rec.date.month, rec.date.day))
# sample usage
player = 'Fizz'
print('\n%s had %s kills in the game' % (player, info2[player].stats.kills))
Output:
info2:
player 'Shyvana':
stats: kills=12, deaths=4, assists=5
victorious: False
date: 2012-11-22
player 'Miss Fortune':
stats: kills=12, deaths=4, assists=3
victorious: True
date: 2012-11-22
player 'Fizz':
stats: kills=12, deaths=4, assists=5
victorious: True
date: 2012-11-22
Fizz had 12 kills in the game
You want to use split (' - ') to get the parts, then perhaps again to get the numbers:
for line in yourfile.readlines ():
data = line.split (' - ')
nums = [int (x) for x in data[1].split ('/')]
Should get you all the stuff you need in data[] and nums[]. Alternatively, you can use the re module and write a regular expression for it. This doesn't seem complex enough for that, though.