Implement OCR API Using FastAPI - 1
Explore how to build an OCR API by setting up a Python virtual environment and creating default FastAPI routes. Understand how to implement the read_image() function to extract text from images using Tesseract, including handling asynchronous operations and errors effectively.
We'll cover the following...
Create a virtual environment for our API
It is a best practice to create a virtual environment whenever you create a new project. You can follow one of the two options below:
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Using the Anaconda Prompt:
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Start the Anaconda Prompt.
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Run the following command:
conda create -n env_name python=3.7You can specify any
env_nameyou like and the desiredPythonversion. -
Activate your virtual environment by running the following command:
conda activate env_name -
Your environment is now activated and you can install whichever packages you need in this virtual environment.
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Using venv package:
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Start the Command Prompt.
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If you ...
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