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Add Text by finding target coordinates - Python

PDF Add Text, Signatures and Images to PDF sample in Python demonstrating ‘Add Text by finding target coordinates’

AddTextByFindingTargetCoordinates.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"

# Direct URL of source PDF file.
# You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/    
SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-edit/sample.pdf"

# Search string.
SearchString = 'Notes'

# 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 PDF file name
DestinationFile = ".//result.pdf"

# Text annotation params
Type = "annotation"
Text = "Some notes will go here... Some notes will go here.... Some notes will go here....."
FontName = "Times New Roman"
FontSize = 12
Color = "FF0000"


def main(args = None):
    # First of all try to find Text within input PDF file
    res = findTextWithinPDF(SourceFileUrl, SearchString)

    if res:
        addImageToPDF(DestinationFile, res['top'], res['left'])
    else:
        print("No result found!")


def findTextWithinPDF(sourceFile, searchText):
    # Prepare URL for PDF text search API call
    # See documentation: https://apidocs.pdf.co

    retVal = dict()

    # Prepare requests params as JSON
    # See documentation: https://apidocs.pdf.co
    parameters = {}
    parameters["url"] = sourceFile
    parameters["searchString"] = searchText


    url = "{}/pdf/find".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:
            # print(json)
            if json["body"]:
                retVal['top'] = json["body"][0]['top']
                retVal['left'] = json["body"][0]['left']
        else:
            # Show service reported error
            print(json["message"])
    else:
        print(f"Request error: {response.status_code} {response.reason}")

    return retVal



def addImageToPDF(destinationFile, top, left):
    import json
    """Add text using PDF.co Web API"""

    # Prepare requests params as JSON
    # See documentation: https://apidocs.pdf.co
    payload = json.dumps({
        "name": os.path.basename(destinationFile),
        "password": Password,
        "url": SourceFileUrl,
        "annotations": [{
            "text": Text,
            "x": left,
            "y": top + 25,
            "fontname": FontName,
            "size": FontSize,
            "color": Color,
            "pages": Pages
        }]
    })

    # Prepare URL for 'PDF Edit' API request
    url = "{}/pdf/edit/add".format(BASE_URL)

    # Execute request and get response as JSON
    response = requests.post(url, data=payload, 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)
            with open(destinationFile, 'wb') as file:
                for chunk in r:
                    file.write(chunk)
            print(f"Result file saved as \"{destinationFile}\" file.")
        else:
            # Show service reported error
            print(json["message"])
    else:
        print(f"Request error: {response.status_code} {response.reason}")

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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