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Advanced Conversation Options - Python

PDF To CSV sample in Python demonstrating ‘Advanced Conversation Options’

ConvertPdfToCSVFromUploadedFile.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.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 CSV file name
DestinationFile = ".\\result.csv"

# Some of advanced options available through profiles:
# (JSON can be single/double-quoted and contain comments.)
# {
#     "profiles": [
#         {
#             "profile1": {
#                 "CSVSeparatorSymbol": ",", // Separator symbol.
#                 "CSVQuotaionSymbol": "\"", // Quotation symbol.
#                 "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
#             }
#         }
#     ]
# }

# Advanced Conversation Options
Profiles = "{ 'profiles': [ { 'profile1': { 'TextFromImagesAndVectorsAndFonts': '|' } } ] }"


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


def convertPdfToCSV(uploadedFileUrl, destinationFile):
    """Converts PDF To CSV 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["url"] = uploadedFileUrl
    parameters["profiles"] = Profiles

    # Prepare URL for 'PDF To CSV' API request
    url = "{}/pdf/convert/to/csv".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.

Get your PDF.co API key here!

Download Source Code (.zip)

return to the previous page explore PDF To CSV endpoint