ByteScout Cloud API Server – PDF Make Searchable API – Python – Make Searchable PDF From URL

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ByteScout Cloud API Server – PDF Make Searchable API – Python – Make Searchable PDF From URL

printable version:
ByteScout-Cloud-API-Server-Python-Make-Searchable-PDF-From-URL.pdf

How to PDF make searchable API in Python and ByteScout Cloud API Server

Continuous learning is a crucial part of computer science and this tutorial shows how to PDF make searchable API in Python

These sample source codes on this page below are displaying how to PDF make searchable API in Python. Want to PDF make searchable 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!.

Want to quickly learn? This fast application programming interfaces of ByteScout Cloud API Server for Python plus the guidelines and the code below will help you quickly learn how to PDF make searchable API. Follow the instructions from scratch to work and copy the Python code. Use of ByteScout Cloud API Server in Python is also described in the documentation included along with the product.

ByteScout Cloud API Server free trial version is available on our website. Python and other programming languages are supported.

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MakeSearchablePdfFromUrl.py

      import os
import requests # pip install requests

# 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"

# 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 URL for 'Make Searchable PDF' API request
    url = "{}/pdf/makesearchable?name={}&password={}&pages={}&lang={}&url={}".format(
        BASE_URL,
        os.path.basename(destinationFile),
        Password,
        Pages,
        Language,
        uploadedFileUrl
    )

    # 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:
            #  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)
    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()