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Advanced Conversion Options With Rotated Input - Python

PDF To XML sample in Python demonstrating ‘Advanced Conversion Options With Rotated Input’

ConvertPdfToXMLFromUploadedFile.py
import os
import requests # pip install requests

# The authentication key (API Key).
# Get your own by registering at https://app.pdf.co
API_KEY = "******************************************"

# Base URL for PDF.co Web API requests
BASE_URL = "https://api.pdf.co/v1"

# Source PDF file
SourceFile = ".\\sample-rotated.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 = ""
# Destination XML file name
DestinationFile = ".\\result.xml"


def main(args = None):
    uploadedFileUrl = uploadFile(SourceFile)
    if (uploadedFileUrl != None):
        convertPdfToXml(uploadedFileUrl, DestinationFile)


def convertPdfToXml(uploadedFileUrl, destinationFile):
    """Converts PDF To XML using PDF.co Web API"""

    # Some of advanced options available through profiles:
    # (it can be single/double-quoted and contain comments.)
    # {
    #     "profiles": [
    #         {
    #             "profile1": {
    #                 "SaveImages": "None", // Whether to extract images. Values: "None", "Embed".
    #                 "ImageFormat": "PNG", // Image format for extracted images. Values: "PNG", "JPEG", "GIF", "BMP".
    #                 "SaveVectors": false, // Whether to extract vector objects (vertical and horizontal lines). Values: true / false
    #                 "ExtractInvisibleText": true, // Invisible text extraction. Values: true / false
    #                 "ExtractShadowLikeText": true, // Shadow-like text extraction. Values: true / false
    #                 "LineGroupingMode": "None", // Values: "None", "GroupByRows", "GroupByColumns", "JoinOrphanedRows"
    #                 "ColumnDetectionMode": "ContentGroupsAndBorders", // Values: "ContentGroupsAndBorders", "ContentGroups", "Borders", "BorderedTables"
    #                 "Unwrap": false, // Unwrap grouped text in table cells. Values: true / false
    #                 "ShrinkMultipleSpaces": false, // Shrink multiple spaces in table cells that affect column detection. Values: true / false
    #                 "DetectNewColumnBySpacesRatio": 1, // Spacing ratio that affects column detection.
    #                 "CustomExtractionColumns": [ 0, 50, 150, 200, 250, 300 ], // Explicitly specify columns coordinates for table extraction.
    #                 "CheckPermissions": true, // Ignore document permissions. Values: true / false
    #             }
    #         }
    #     ]
    # }
    
    # Sample profile that sets advanced conversion options
    # Advanced options are properties of XMLExtractor class from ByteScout PDF Extractor SDK used in the back-end:
    # https://cdn.bytescout.com/help/BytescoutPDFExtractorSDK/html/87ce5fa6-3143-167d-abbd-bc7b5e160fe5.htm

    # Valid RotationAngle values:
    # 0 - no rotation
    # 1 - 90 degrees
    # 2 - 180 degrees
    # 3 - 270 degrees
    Profiles = '{ "profiles": [{ "profile1": { "RotationAngle": 1 } } ] }'

    # 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["url"] = uploadedFileUrl
    parameters["profile"] = Profiles

    # Prepare URL for 'PDF To XML' API request
    url = "{}/pdf/convert/to/xml".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()

PDF.co Web API: the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.

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Download Source Code (.zip)

return to the previous page explore PDF To XML endpoint