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Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

How to build a framework independent component library with StencilJS

This is a proposal for a lightning talk at Reactive Conf. Please 🌟 this gist to push the proposal! If you're on your phone, please request the 🖥 desktop site to star this gist 😇 #ReactiveConf

	# -- coding: utf-8 --

	import asyncio
	import uvloop
	from aiohttp.web import Application, MsgType, WebSocketResponse


	def add_socket(app, socket, user_id):
	if user_id in app['connections']:
	pass