ByteScout Cloud API Server - PDF Text Search API - Python - PDF Text Search from Uploaded File Asynchronously - ByteScout

ByteScout Cloud API Server – PDF Text Search API – Python – PDF Text Search from Uploaded File Asynchronously

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How to PDF text search API in Python using ByteScout Cloud API Server

This code in Python shows how to PDF text search API with this how to tutorial

Sample source code below will display you how to manage a complex task like PDF text search API in Python. Want to PDF text search API in your Python app? ByteScout Cloud API Server is designed for it. ByteScout Cloud API Server is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) or into private cloud server. Can store data on in-house local server based storage or in Amazon AWS S3 bucket. Processing data solely on the server using built-in ByteScout powered engine, no cloud services are used to process your data!.

The following code snippet for ByteScout Cloud API Server works best when you need to quickly PDF text search API in your Python application. This Python sample code is all you need for your app. Just copy and paste the code, add references (if needs to) and you are all set! Complete and detailed tutorials and documentation are available along with installed ByteScout Cloud API Server if you’d like to learn more about the topic and the details of the API.

You can download free trial version of ByteScout Cloud API Server from our website with this and other source code samples for Python.

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PdfTextSearchFromUploadedFileAsynchronously.py
      
""" Cloud API asynchronous "PDF To Text" job example. Allows to avoid timeout errors when processing huge or scanned PDF documents. """ import os import requests # pip install requests import time import datetime # Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". # If it's not then please replace this with with your hosting url. # Base URL for PDF.co Web API requests BASE_URL = "https://localhost" # Source PDF file SourceFile = ".\\sample.pdf" # Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. Pages = "" # PDF document password. Leave empty for unprotected documents. Password = "" # Search string. SearchString = "\d{1,}\.\d\d" # Regular expression to find numbers like '100.00' # Note: do not use `+` char in regex, but use `{1,}` instead. # `+` char is valid for URL and will not be escaped, and it will become a space char on the server side. # Enable regular expressions (Regex) RegexSearch = True # (!) Make asynchronous job Async = True def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): searchTextInPDF(uploadedFileUrl) def searchTextInPDF(uploadedFileUrl): """Search Text using PDF.co Web API""" # Prepare URL for 'PDF Text Search' API request url = "{}/pdf/find?async={}&password={}&pages={}&url={}&searchString={}&regexSearch={}".format( BASE_URL, Async, Password, Pages, uploadedFileUrl, SearchString, RegexSearch ) # Execute request and get response as JSON response = requests.get(url, headers={ "content-type": "application/octet-stream" }) if (response.status_code == 200): json = response.json() if json["error"] == False: # Asynchronous job ID jobId = json["jobId"] # URL of the result file resultFileUrl = json["url"] # Check the job status in a loop. # If you don't want to pause the main thread you can rework the code # to use a separate thread for the status checking and completion. while True: status = checkJobStatus(jobId) # Possible statuses: "working", "failed", "aborted", "success". # Display timestamp and status (for demo purposes) print(datetime.datetime.now().strftime("%H:%M.%S") + ": " + status) if status == "success": resp_res = requests.get(resultFileUrl); json_resp_res = resp_res.json() # Display found information for item in json_resp_res: print(f"Found text {item['text']} at coordinates {item['left']}, {item['top']}") elif status == "working": # Pause for a few seconds time.sleep(3) else: print(status) break else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") def checkJobStatus(jobId): """Checks server job status""" url = f"{BASE_URL}/job/check?jobid={jobId}" response = requests.get(url) if (response.status_code == 200): json = response.json() return json["status"] else: print(f"Request error: {response.status_code} {response.reason}") return None def uploadFile(fileName): """Uploads file to the cloud""" # 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. # Prepare URL for 'Get Presigned URL' API request url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format( BASE_URL, os.path.basename(fileName)) # Execute request and get response as JSON response = requests.get(url) if (response.status_code == 200): json = response.json() if json["error"] == False: # URL to use for file upload uploadUrl = json["presignedUrl"] # URL for future reference uploadedFileUrl = json["url"] # 2. UPLOAD FILE TO CLOUD. with open(fileName, 'rb') as file: requests.put(uploadUrl, data=file, headers={ "content-type": "application/octet-stream" }) return uploadedFileUrl else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") return None if __name__ == '__main__': main()

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60 Day Free Trial or Visit ByteScout Cloud API Server Home Page

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