Learn how to build a REST API with Python.

Become a Flask Developer

In this module, you will learn how to build a REST API using a lighter web framework for Python, i.e., FastAPI. You will learn the basics of FastAPI and learn how to implement parallel processing in Python APIs. 

Finally, you will deploy your API on Microsoft Azure and build a Continuous Integration/Continuous Development (CI/CD) Pipeline using Github.

Building REST API with Python

## Install the Tesseract OCR engine
To install the Tesseract OCR engine for different operating systems, you can choose the relevant option from the choices given below:
:
* **Ubuntu** -- For Ubuntu users, you can use the following command:
   ```
   sudo apt-get install tesseract-ocr
   ```
* **Windows** -- For Windows users, you can visit [here](https://github.com/UB-Mannheim/tesseract/wiki) and select 32-bit/64-bit as per your system.
* **Mac** -- For macOS users, you can use `Homebrew` to install *Tesseract*. The command is shown below:
   ```
   $ brew install tesseract
   ```

After installing, you can validate the installation by running the following command in your command prompt:
```
tesseract -v
```
It will print the version of the Tesseract OCR engine installed on your system.

## Install pytesseract wrapper
Once you have installed your Tesseract OCR engine, you can run the following `pip` statement to install `pytesseract`:
```
pip install pytesseract
```

You are all set to can go ahead and perform some OCR operations on your local machine.

# Install the Tesseract OCR engine
To install the Tesseract OCR engine for different operating systems, you can choose the relevant option from the choices given below:
:
* **Ubuntu** -- For Ubuntu users, you can use the following command:
   ```
   sudo apt-get install tesseract-ocr
   ```
* **Windows** -- For Windows users, you can visit [here](https://github.com/UB-Mannheim/tesseract/wiki) and select 32-bit/64-bit as per your system.
* **Mac** -- For macOS users, you can use `Homebrew` to install *Tesseract*. The command is shown below:
   ```
   $ brew install tesseract
   ```

After installing, you can validate the installation by running the following command in your command prompt:
```
tesseract -v
```
It will print the version of the Tesseract OCR engine installed on your system.

# Install pytesseract wrapper
Once you have installed your Tesseract OCR engine, you can run the following `pip` statement to install `pytesseract`:
```
pip install pytesseract
```

You are all set to can go ahead and perform some OCR operations on your local machine.

Learn to install Tesseract and Pytesseract on your local machine.

Before We Begin

Building Blocks of an API in Python

Learn the Basics of FastAPI

Optical Character Recognition API Using Tesseract - Project 1

Cloud and Microsoft Azure Services

Text Analytics API Using Azure Cognitive Services - Project 2

Deploy the REST API on Microsoft Azure

Conclusion

Appendix

How can I Install Tesseract and Pytesseract

Install the Tesseract OCR engine