textract | no fuss | Natural Language Processing library
kandi X-RAY | textract Summary
kandi X-RAY | textract Summary
extract text from any document. no muss. no fuss.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of textract
textract Key Features
textract Examples and Code Snippets
# Get the analysis once to see if there is a need to loop in the first place
x=client.get_document_analysis(JobId = my_job_id_ref)
next_token = x.get('NextToken')
my_ls.append(x)
# Now repeat until we have the last page
while next_token
# Save fil first.
new_bytes = doc.write()
s3.Bucket(bucketname).put_object(Key=filename, Body=new_bytes)
conda install -c conda-forge poppler
conda install -c conda-forge pdftotext
pip install python-poppler
pip install pdftotext
tempfile = NamedTemporaryFile(suffix=extension)
tempfile.write(r
textract = boto3.client('textract', region_name='us-west-1')
import urllib.request
import textract
def download_file(download_url, filename):
response = urllib.request.urlopen(download_url)
file = open(filename + ".pdf", 'wb')
file.write(response.read())
file.close()
df['Text']
^(?:[^\S\n]*\S.*\n)*.*word.*(?:\n[^\S\n]*\S.*)*
import re
text = """test textract.
new line
test word.
another line."""
pattern = r"^(?:[^\S\n]*\S.*\n)*.*word.*(?:\n[^\S\n]*\S.*)*"
print(re.findall(pattern, tex
import pdftables_api
c = pdftables_api.Client('my-api-key')
c.xlsx('input.pdf', 'output')
#replace c.xlsx with c.csv to convert to CSV
#replace c.xlsx with c.xml to convert to XML
#replace c.xlsx with c.html to convert to HTML
#This is
single_response = ' '.join(item["Text"] for item in response["Blocks"] if item["BlockType"] == "LINE")
class Parser(ShellParser):
"""Extract text from doc files using antiword.
"""
def extract(self, filename, **kwargs):
stdout, stderr = self.run(['antiword', filename])
return stdout
impo
os.rename(os.path.join(source_directory, filename), os.path.join(source_directory, unique_filename))
Community Discussions
Trending Discussions on textract
QUESTION
I have a mulit-page pdf on AWS S3, and am using textract to extract all text. I can get the response in batches, where the 1st response provides me with a 'NextToken' that I need to pass as an arg to the get_document_analysis method.
How do I avoid manually running the get_document_analysis method each time manually pasting the NextToken value received from the previous run?
Here's an attempt:
...ANSWER
Answered 2022-Mar-30 at 15:03The trick is to use the while
-condition to check whether the nextToken is empty.
QUESTION
I'm looking to extract form data utilizing textract. I've tested with a PDF in the demo and results are great. Results using the SDK however are far from optimal, actually, completely inaccurate. If I use StartDocumentAnalysisRequest/StartDocumentAnalysisResult
(asynchronous), I only get 1 block returned of type PAGE
, never KEY_VALUE_SET
. If I convert my PDF to an image and use the synchronous methods, I do get KEY_VALUE_SET
back but results are completely inaccurate.
Does anyone know how I can utilize the asynchronous analysis functionality to retrieve form values as the documentation indicates?
Sample Code below:
...ANSWER
Answered 2022-Mar-13 at 03:02You are not using the recommended version for the AWS SDK for Java. You are using a old version and not the recommended one.
I have tested the AWS SDK for Java V2 and I am able to get lines and text that lines up with the AWS Management Console.
You can find textTract V2 examples in the repo linked above.
I am able to get to lines and the corresponding text by using software.amazon.awssdk.services.textract.TextractClient.
For example when i debug through the code using the same PNG as I used in the console, i get the proper result.
QUESTION
I am doing the walkthrough for building a full stack app with Amplify and am stuck on the third module, adding auth. I followed all the instructions to a T but my build is failing saying there are invalid feature flags like so.
...ANSWER
Answered 2022-Feb-20 at 11:03It seems to be a different version of amplify cli between the aws build image and your machine.
Check your version of amplify cli :
QUESTION
I am trying to crop a pdf and save it to s3 with same name using lambda. I am getting error on the data type being a fitz.fitz.page
...ANSWER
Answered 2022-Jan-31 at 14:34This is happening because the page1 object is defined using fitz.fitz.page
and the type expected by S3 put object is bytes.
In order to solve the issue, you can use the write
function of the new PDF (doc
) and get the output of it which is in bytes format that you could pass to S3 then.
QUESTION
I have upgraded my angular to angular 13. when I run to build SSR it gives me following error.
...ANSWER
Answered 2022-Jan-22 at 05:29I just solve this issue by correcting the RxJS version to 7.4.0
. I hope this can solve others issue as well.
QUESTION
I am OCRing image based pdfs using AWS Textract
my each PDF I have has 60+ pages
but when I try to OCR the pdf file it only does that for the first 4 pages of each file.
is there any limit on number of pages in the pdf file for AWS extract
I found this https://docs.aws.amazon.com/textract/latest/dg/limits.html
but it does not mention any limit on the number of pages!!
Any one know if there is any limit of the pdf pages?
and if so, how can I do the OCR for the whole file 60+ pages?
...ANSWER
Answered 2022-Jan-03 at 13:43The hard limits for textract are 1000 pages or 500mb for PDFs.
I think that your problem is related to the batch response of textract. You have to look if the key "NextToken" in the json output is populated and if so, you have to make another request with that token.
QUESTION
I'm using AWS Textract to pull information from PDF documents. After the scanned text is returned from AWS and persisted to a var, I'm doing this:
phone_number = '(555) 123-4567'
scanned_pdf_text.should have_text phone_number
But this fails about 20% of the time because of the non-deterministic way that AWS is returning the scanned PDF text. On occasion, the phone numbers can appear either of these two ways:
(555)123-4567
or (555) 123-4567
Some of this scanned text is very large, and I'd prefer not to go through the exercise of sanitizing the text coming back if I can avoid it (I'm also not good at regex usage). I also think using or
logic to handle both cases seems to be a little heavy handed just to check text that is so similar (and clearly near-identical to the human eye).
Is there an rspec
matcher that'll allow me to check on this text? I'm also using Capybara.default_normalize_ws = true
but that doesn't seem to help in this case.
ANSWER
Answered 2021-Dec-15 at 21:40Assuming scanned_pdf_text
is a string and the only differences you're seeing is in spaces then you can just get rid of the spaces and compare
QUESTION
I am trying to implement a similar script on my project following this blog post here: https://www.imagescape.com/blog/scraping-pdf-doc-and-docx-scrapy/
The code of the spider class from the source:
...ANSWER
Answered 2021-Dec-12 at 19:39This program was meant to be ran in linux, so there are a few steps you need to do in order for it to run in windows.
1. Install the libraries.
Installation in Anaconda:
QUESTION
I have a Step Function that starts another Step Function.
The output from the inner step function is ok, it is exactly what I want.
Here is the code that triggers the outer step function:
...ANSWER
Answered 2021-Dec-06 at 11:20You can filter out the required result only from the outer step function with ResultSelector. It allows selecting fields that you need. Your SF definition should look like this:
QUESTION
I want to send the data in res.send(data). When i
...ANSWER
Answered 2021-Nov-19 at 00:41You were trying to return wrong thing you need to send response in callback of the textract function
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