Abstract
In this digitalized era, most of the data is available as images. Text extraction plays an important role in finding vital and valuable information from images and is useful in processing, retrieving, editing, documenting, etc. In this paper, a cloud-based solution is proposed for efficiently extracting text using API. Large datasets with images can be uploaded to cloud storage using cloud vision API and Google text-to-speech API would extract text with flexibility. This can be is accomplished by Google cloud platform (GCP), using python flask. and can be deployed to Google cloud using python flask.
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Aakash, B., Srilakshmi, A. (2021). MAGE: An Efficient Deployment of Python Flask Web Application to App Engine Flexible Using Google Cloud Platform. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_5
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DOI: https://doi.org/10.1007/978-981-15-7345-3_5
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