EasyOCR - Batch processing images with Python

I am attempting to write a bit of python that uses EasyOCR to write the numbers it sees in the images into a text file. My goal is to batch process all images in a directory, rather than a single images at a time, as I have several thousand images to process.

The python code:

import cv2
import os
import io

reader = easyocr.Reader(['en'])

for image_name in os.listdir("ocr-source"):
        image = cv2.imread(f'ocr-source/{image_name}')
        result = reader.readtext(image, allowlist='0123456789', detail=0)
        
print(image_name, " ", result, file=open('output.txt', 'w'))

My test ocr-source directory contains about 10 images.

The resulting output.txt file only contains the results from a single image.

How to I get it to properly iterate through the entire directory?

Easyocr seem to have recently supported batch inference:
https://github.com/JaidedAI/EasyOCR/pull/458

Simple fix: Instead of writing over the file each loop, I needed to append.

import cv2
import os
import io

reader = easyocr.Reader(['en'])

for image_name in os.listdir("ocr-source"):
        image = cv2.imread(f'ocr-source/{image_name}')
        result = reader.readtext(image, allowlist='0123456789', detail=0)
        
print(image_name, " ", result, file=open('output.txt', 'a'))

Note the 'a' in the print call