ocr code and key file , step i followed and worked as below.

chatgpt step.s

tell me step by step following activites: To perform Optical Character Recognition (OCR) on a PDF file using Google Cloud Vision, you can follow these steps: Activate OCR Services on Google Cloud Platform (GCP): Enable the Vision API: Go to the GCP Console, select your project, and enable the Vision API from the API Library. Create a Service Account: Navigate to IAM & Admin > Service Accounts, create a new service account, and download the JSON key file for authentication.

To perform Optical Character Recognition (OCR) on a PDF file using Google Cloud Vision, follow these steps:

Step 1: Activate OCR Services on Google Cloud Platform (GCP)

1. Enable the Vision API:

1. Go to the Google Cloud Console.
2. Select your project or create a new one.
3. Navigate to API & Services > Library.
4. Search for "Vision API" and click on it.
5. Click Enable to activate the API.

2. Create a Service Account:

1. Go to IAM & Admin > Service Accounts.
2. Click Create Service Account.
3. Enter a name and description for the service account, then click Create.
4. Assign the role Project > Editor (or a more restrictive role if preferred), then click Continue.
5. Click Done.
6. Find the created service account in the list, click the three dots in the Actions column, and select Manage keys.
7. Click Add key > Create new key.
8. Select JSON and click Create to download the key file.

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{

  "type": "service_account",

  "project_id": "premium-bastion-430411-j1",

  "private_key_id": "37bfbbd7e015f1ececd337eeed962cf0340c77c6",

  "private_key": "-----BEGIN PRIVATE KEY-----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\n13oUuZbkOIJ8oYs9X0mAno5M\n-----END PRIVATE KEY-----\n",

  "client_email": "ocr-serviceaccount@premium-bastion-430411-j1.iam.gserviceaccount.com",

  "client_id": "111306160424609019264",

  "auth_uri": "https://accounts.google.com/o/oauth2/auth",

  "token_uri": "https://oauth2.googleapis.com/token",

  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",

  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/ocr-serviceaccount%40premium-bastion-430411-j1.iam.gserviceaccount.com",

  "universe_domain": "googleapis.com"

}

--------------------------

!pip show google-cloud-vision pdf2image

!apt-cache policy poppler-utils

# this is for doc to text ; ocr.

import io

import os

from google.cloud import vision

from google.cloud.vision_v1 import types

from pdf2image import convert_from_path

from google.oauth2 import service_account

# Paths to the files

credentials_path = '/content/credentials_doc.json'

pdf_file_path = '/content/Theerpu.pdf'

output_text_file_path = '/content/output_doc_text.txt'

# Verify the file existence

if os.path.exists(credentials_path):

    print("Credentials file found.")

else:

    print("Credentials file not found. Please check the path.")

if os.path.exists(pdf_file_path):

    print("PDF file found.")

else:

    print("PDF file not found. Please check the path.")

# Authenticate using service account

credentials = service_account.Credentials.from_service_account_file(credentials_path)

client = vision.ImageAnnotatorClient(credentials=credentials)

# Convert PDF to images

images = convert_from_path(pdf_file_path, dpi=300)

# Function to perform OCR on an image

def perform_ocr(image):

    content = io.BytesIO()

    image.save(content, format='PNG')

    content = content.getvalue()

    image = types.Image(content=content)

    response = client.document_text_detection(image=image)

    return response.full_text_annotation.text

# Process each image and save the text

with open(output_text_file_path, 'w', encoding='utf-8') as output_file:

    for i, image in enumerate(images):

        text = perform_ocr(image)

        output_file.write(f"Page {i + 1}\n")

        output_file.write(text)

        output_file.write("\n\n")

print(f'OCR text written to file "{output_text_file_path}"')