Text detection (OCR) and Language identification using Google Cloud Vision API

Photo by Amanda Dalbjörn on Unsplash

In this post , we are going to see how to use google cloud computer vision api to detect texts in an image (Object character recognition) and identify the language type.

To start , first enable the cloud vision api in the google cloud console or via the gcloud command.

gcloud services enable vision.googleapis.com

cloud vision api

Next, create a service account with “AI platform admin” permissions.

Create a json key for this service account.

Now you can create a jupyter notebook in your local machine or you can create notebook in Google cloud AI platform . ( Please note that creating a python notebook instance in GCP will incur costs).

• Pip install the langcodes package , langcodes implements BCP 47, the IETF Best Current Practices on tags for identifying Languages.
• Import the required libraries
• Visualize the images with text