pdfplumber | detailed information about each char rectangle line | Document Editor library
kandi X-RAY | pdfplumber Summary
kandi X-RAY | pdfplumber Summary
Plumb a PDF for detailed information about each text character, rectangle, and line. Plus: Table extraction and visual debugging. Works best on machine-generated, rather than scanned, PDFs. Built on pdfminer.six. Currently tested on Python 3.6, 3.7, and 3.8. To report a bug or request a feature, please file an issue. To ask a question or request assistance with a specific PDF, please use the discussions forum.
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Top functions reviewed by kandi - BETA
- Calculates the distance between each word in the word_tuples
- Cluster xs using key_fn
- Given a list of values return a dictionary mapping each value to the cluster
- Cluster a list of xs
- Get a page image from a stream
- Opens a PDF file
- Close the stream
- Serialize the pages to a CSV file
- Serialize obj
- Search the text layout
- Extract text
- List of rects in this rectangle
- Crop list of objects to bbox
- Returns the list of objects that intersect the given bbox
- Serialize a dictionary
- List of objects
- Return a new filtered filtered page
- Returns a TableFinder instance
- Decodes a list of PSL values
- Serialize the object to a JSON string
- Returns a list of objects that intersect the given bbox
- Extract rows from the table
- List of annotations
- Parse command line arguments
- Search the layout
- Test whether the bounding box is within the parent page
pdfplumber Key Features
pdfplumber Examples and Code Snippets
Lines of Code : 5License : Permissive (MIT)
Copy./im_ocr.sh /files/image_pdfs/russia_findings.pdf pdf
./im_ocr.sh /files/image_pdfs/russia_findings.pdf txt
convert -resize 400% -density 450 -brightness-contrast 5x0 Walker16.tiff -set colorspace Gray -separate -average -depth 8 -strip Walker16_en (?P\d{2}/\d{2})\s+(?P\w[\w ]*)(?P\$[\d.,]*)\s{2}(?P\d[\d.,]*)\s.*(?P(?:\n(?!\d+\/\d|continued\b|Page\s+\d).*)*)
import re
pattern = r"(?P\d{2}/\d{2})\s+(?P\w[\w ]*)(?P\$[\d.,]*)\s{2}(?P\d[\d.,]*)\s.*(?P(?:\n(?!\d+ds = pd.DataFrame(text.split('\n'))
print(ds.to_markdown())
import pdfplumber
def get_filtered_text(file_to_parse: str) -> str:
with pdfplumber.open(file_to_parse) as pdf:
text = pdf.pages[0]
clean_text = text.filter(lambda obj: not (obj["object_type"] == "char" and obj["si^(\w+ Prize[-\s]Rs\s*):(\d+)/-(?:\s*\d+\))?\s*(.*(?:\n(?!\w+ Prize\b).*)*)
(?:[A-Z]{2} \d{6}(?!\d)|(?import re
import pdfplumber
import json
pattern = r"^(\w+ Prize[-\s]Rs\s*):(\d+)/-(?:\simport pdfplumber
import pandas as pd
pdf = pdfplumber.open('file.pdf')
page = pdf.pages[0]
table = page.extract_table(
dict(vertical_strategy="text", keep_blank_chars=True)
)
df = pd.DataFrame(table)
import pdfplumber
import re
demo = []
with pdfplumber.open('HCSC IL Inpatient_Outpatient Unbundling Policy- Facility.pdf') as pdf:
for i in range(0, 50):
try:
text = pdf.pages[i]
clean_text = text.filimport pdfplumber
with pdfplumber.open('test.pdf') as pdf:
text = pdf.pages[0]
clean_text = text.filter(lambda obj: obj["object_type"] == "char" and "Bold" in obj["fontname"])
print(clean_text.extract_text())
from urllib.request import urlopen
import pdfplumber
url = 'https://archives.nseindia.com/corporate/ICRA_26012022091856_BSER3026012022.pdf'
response = urlopen(url)
file = open("img.pdf", 'wb')
file.write(response.read())
file.close()
try:
import pdfplumber
with pdfplumber.open(r'D:\document.pdf') as pdf:
first_page = pdf.pages[0]
print(first_page.extract_text())
Community Discussions
Trending Discussions on pdfplumber
QUESTION
I am using pdfplumber.page.extract_text() to extract text from bank statements. The text seems to get extracted correctly but I am having trouble with the regex expression to extract the date, type, description and amount. but I cant figure out a clean way to capture multi-line descriptions. I would like to have the description text in the gold boxes grouped with the description text in the line before the gold box.
Regex Patternre.findall(r'(\d{2}\/\d{2})\s*([\w ]*)([$\d.,]*)(\s{2})([$\d.,]*).*\s(?=\w*)', text)
ANSWER
Answered 2022-Apr-10 at 14:56You can add the description of the following lines (that for example do not start with a date or 'continued" or Page and a digit) to the description that you already have.
In your pattern you use [\w ]* but that can also only match spaces. If there should be at least a word character you can use \w[\w ]*
You can also omit the capture group in this part (\s{2}) as it will return an entry with spaces only.
QUESTION
I have a PDF file which contains Lottery Tickets winners, i want to extract all win tickets according to their prizes.
i tried this:
...ANSWER
Answered 2022-Mar-20 at 21:10You could first get all the full parts from all the pages in capture groups.
Then you can after process the 3rd capture group to get the separate "tickets" and in a loop create the wanted data structure.
For the first separate groups, you can use a pattern that matches the start of every prize section, and captures all values until the next prize section.
QUESTION
I am new to pdfplumber, and I have fallen amazed under how it extracts text from tables.
Its easy to work for all-page tables, but in my case, I am using some topological schematics with somes tables inside.
It fails to extract the first column and the last row of every table in document. I have tried to tweak several configuration parameters in table_settings variable, unluckily I haven't been able to achieve any better result (in my case, the rest of texts in the schematic is considered as a table in case I use "text" instead of "lines").
Any help with this? I am using Python 3.9.8 and the pdf for testing can be found in: schematic.pdf
The source code is next:
...ANSWER
Answered 2021-Dec-03 at 11:24Some of the edges in the PDF appear as lines but are not exactly what pdfplumber treats as lines and for such cases, all the curves and edges can be explicitly treated as lines. Using the following table settings worked for this case
QUESTION
Attempted Solution at bottom of post.
I have near-working code that extracts the sentence containing a phrase, across multiple lines.
However, some pages have columns. So respective outputs are incorrect; where separate texts are wrongly merged together as a bad sentence.
This problem has been addressed in the following posts:
Question:
How do I "if-condition" whether there are columns?
- Pages may not have columns,
- Pages may have more than 2 columns.
- Pages may also have headers and footers (that can be left out).
Example .pdf with dynamic text layout: PDF (pg. 2).
Jupyter Notebook:
...ANSWER
Answered 2021-Dec-01 at 16:01This answer enables you to scrape text, in the intended order.
Towards Data Science article PDF Text Extraction in Python:
Compared with PyPDF2, PDFMiner’s scope is much more limited, it really focuses only on extracting the text from the source information of a pdf file.
QUESTION
Goal: if pdf line contains sub-string, then copy entire sentence (across multiple lines).
I am able to print() the line the phrase appears in.
Now, once I find this line, I want to go back iterations, until I find a sentence terminator: . ! ?, from the previous sentence, and iterate forward again until the next sentence terminator.
This is so as I can print() the entire sentence the phrase belongs in.
However, I have a Recursive Error with scrape_sentence() getting stuck infinitely running.
Jupyter Notebook:
...ANSWER
Answered 2021-Nov-30 at 10:04I solved this problem here by removing any recursion from scrape_sentence().
QUESTION
Is there a way to extract data from every arrays in a pdf using python?
I've tested tabula, camelot, pdfplumber but none can extract everything or correctly.
An example:
I would like to work on these using matrix, dataframe, ...
Should I opt for OCR for better recognition ?
EDIT :
I am trying to retrieve this table from a pdf using tabula-py.
My script :
...ANSWER
Answered 2021-Nov-18 at 14:01In my opinion, Camelot gets a good result using stream flavor.
QUESTION
I'm developing a script that extracts text from all pdf files in a directory via a loop and inserts them into individual cells of a csv file. I can successfully write the output into the cells. However, I need the csv file to contain the header "text" for merging with another csv. Thus far my attempts to insert that header with csv_writer are running into difficulties.
For example, the code below successfully extracts and inserts the text from pdfs, but writes a new header for every file extracted:
...ANSWER
Answered 2021-Nov-11 at 15:44You could open the csv first, insert your header, then iterate through your PDFs:
QUESTION
I'm writing a script that extracts text from a pdf file and inserts it as a string into a single csv row. Using pdfplumbr I can successfully extract the text, with each page's text inserted into the csv as an individual row. However, I'm struggling to figure out how to combine those rows into a single cell. I'm attempting Pandas pd.concat function to combine them, but so far without success.
Here's my code:
...ANSWER
Answered 2021-Nov-10 at 15:54You would just need to store the text from each page in a list and combine it all at the end. For example:
QUESTION
I am trying to count a serie of words extract from a PDF but I get only 0 and it is not correct.
...ANSWER
Answered 2021-Oct-08 at 09:53This will do the job:
QUESTION
I was following this tutorial https://www.youtube.com/watch?v=eTz3VZmNPSE&list=PLxEus0qxF0wciRWRHIRck51EJRiQyiwZT&index=16
when the code has returned my this error.
GoalI need to scrape a pdf that looks like this (I wanted to attach the pdf but I do not know how):
...ANSWER
Answered 2021-Sep-27 at 09:58You have reassigned line, here:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pdfplumber
You can use pdfplumber like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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