Implement OCR API Using FastAPI - 3
Explore how to implement concurrent processing in your OCR API using FastAPI and Python's asyncio library. Understand the gather pattern to run tasks simultaneously and optimize response times when extracting text from multiple images. This lesson helps you transform sequential processing into efficient asynchronous execution, preparing your API for production deployment.
In this lesson, we will optimize our OCR API to handle multiple images simultaneously. Instead of processing images one by one (sequentially), we will use Python's asyncio library to process them concurrently, significantly reducing the total response time.
The Concept: Sequential vs. Concurrent
When processing multiple files, the standard approach is to use a for loop. However, a standard loop waits for each image to be fully processed before moving to the next. In an asynchronous environment like FastAPI, we can start all processing tasks at once and wait for the entire group to finish.
1. The Core Logic: The "Gather" Pattern
To implement this, we follow a three-step pattern ...