CODEWITHSUNDEEP
pythongoogle-vision
Kaushal Meena
Kaushal Meena

Reputation: 31

How to use the Google Vision API for text detection from base64 encoded image?

I am having a base64 encoded image.

imageData = 'data:image/png;base64,iVBORw0rrfwfwHReger32QRQWr...'

How I should proceed for text detection with google cloud vision python library?

My Code looks like :

from google.cloud import vision
client = vision.Client()
imageData = 'data:image/png;base64,iVBORw0rrfwfwHReger32QRQWr...'
image = client.image(content=imageData)
texts = image.detect_text()
print texts[0].description

Upvotes: 3

Views: 4742

Answers (1)

class
class

Reputation: 8681

Use the Cloud Client library for Python vision as demonstrated here. The Cloud client library does all of the base64 encoding for you behind the scenes.

Initialize your folder with a virtualenv and the client library:

virtualenv env && source env/bin/activate
pip install google-cloud-vision

The following snippet does OCR on an image file, base64 file.png:

from google.cloud import vision
from google.cloud.vision import types

client = vision.ImageAnnotatorClient()

content = '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'

image = types.Image(content=content.decode('base64'))
texts = client.text_detection(image=image).text_annotations

for text in texts:
    print('\n"{}"'.format(text.description))

Upvotes: 2

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