How to PDF make searchable API in Python using PDF.co Web API

This code in Python shows how to PDF make searchable API with this how to tutorial

The code displayed below will guide you to install an Python app to PDF make searchable API. What is PDF.co Web API? It is the Rest API that provides set of data extraction functions, tools for documents manipulation, splitting and merging of pdf files. Includes built-in OCR, images recognition, can generate and read barcodes from images, scans and pdf. It can help you to PDF make searchable API in your Python application.

Want to quickly learn? This fast application programming interfaces of PDF.co Web API for Python plus the guidelines and the code below will help you quickly learn how to PDF make searchable API. 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! Further improvement of the code will make it more robust.

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MakeSearchablePdfFromUrl.py

      
import os import requests # pip install requests # The authentication key (API Key). # Get your own by registering at https://app.pdf.co/documentation/api API_KEY = "******************************************" # Base URL for PDF.co Web API requests BASE_URL = "https://api.pdf.co/v1" # Direct URL of source PDF file. SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-make-searchable/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 = "" # OCR language. "eng", "fra", "deu", "spa" supported currently. Let us know if you need more. Language = "eng" # Destination PDF file name DestinationFile = ".\\result.pdf" def main(args = None): makeSearchablePDF(SourceFileURL, DestinationFile) def makeSearchablePDF(uploadedFileUrl, destinationFile): """Make Uploaded PDF file Searchable using PDF.co Web API""" # Prepare requests params as JSON # See documentation: https://apidocs.pdf.co parameters = {} parameters["name"] = os.path.basename(destinationFile) parameters["password"] = Password parameters["pages"] = Pages parameters["lang"] = Language parameters["url"] = uploadedFileUrl # Prepare URL for 'Make Searchable PDF' API request url = "{}/pdf/makesearchable".format(BASE_URL) # Execute request and get response as JSON response = requests.post(url, data=parameters, headers={ "x-api-key": API_KEY }) if (response.status_code == 200): json = response.json() if json["error"] == False: # Get URL of result file resultFileUrl = json["url"] # Download result file r = requests.get(resultFileUrl, stream=True) if (r.status_code == 200): with open(destinationFile, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{destinationFile}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") 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, headers={ "x-api-key": API_KEY }) 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={ "x-api-key": API_KEY, "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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