Document analyzer for Translation projects using Python, matecat API and Google Cloud Storage to automate and analyze the document files uploaded by the user on the web application and get analyzed data on the documents using REST API, built with Flask and deployed on Google App Engine
On the landing page of the web application, the user can upload the documents for document analysis, file upload and drag and drop function handled by Dropzone, then the uploaded documents are stored in Google Cloud Storage, at the same time, the documents uploaded and the language pairs set by the user (the languages pair the document will be translated from/to) will be sent as POST request to matecat API
The results page will display the analyzed data returned from matecat API