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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Extracting text from images with Google Cloud Vision AI

We can use the power of the Google Cloud interface to detect and extract text in images. This process is called Optical Character Recognition, or OCR.

Getting ready

We need to enable the Google Cloud Vision API and create credentials to work with it, as described in the previous recipe, Analyzing Images with Google Cloud Vision AI. We need to use the generated service account key in JSON format. We will call it credentials.json throughout the chapter.

We need to add the official Google Cloud Vision library. We should install the module, adding it to our requirements.txt file as follows:

$ echo " google-cloud-vision==1.0.0" >> requirements.txt
$ pip install -r requirements.txt

We will use the image_text.py script and the photo-text.jpg and dublin-a-text.jpg files that were also used in Chapter 4, Searching and Reading Local Files. You can download them from the GitHub repository at https:/...

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