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import os, io | |
from google.cloud import vision | |
from google.cloud.vision import types | |
import pandas as pd | |
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'ServiceAccountToken.json' | |
client = vision.ImageAnnotatorClient() | |
FOLDER_PATH = r'<Folder Path>' | |
IMAGE_FILE = '<image file name>' | |
FILE_PATH = os.path.join(FOLDER_PATH, IMAGE_FILE) | |
with io.open(FILE_PATH, 'rb') as image_file: | |
content = image_file.read() | |
image = vision.types.Image(content=content) | |
response = client.document_text_detection(image=image) | |
docText = response.full_text_annotation.text | |
print(docText) | |
pages = response.full_text_annotation.pages | |
for page in pages: | |
for block in page.blocks: | |
print('block confidence:', block.confidence) | |
for paragraph in block.paragraphs: | |
print('paragraph confidence:', paragraph.confidence) | |
for word in paragraph.words: | |
word_text = ''.join([symbol.text for symbol in word.symbols]) | |
print('Word text: {0} (confidence: {1}'.format(word_text, word.confidence)) | |
for symbol in word.symbols: | |
print('\tSymbol: {0} (confidence: {1}'.format(symbol.text, symbol.confidence)) |
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