Azureが非常に便利なので深めて行こうと思います。

今回はAzureのOCRをGoogleコラボで動かしてみます。

!pip install azure-cognitiveservices-vision-computervision

import os
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from azure.cognitiveservices.vision.computervision.models import VisualFeatureTypes
from msrest.authentication import CognitiveServicesCredentials
from azure.cognitiveservices.vision.computervision.models import OperationStatusCodes
from google.colab import files
import time

os.environ["AZURE_OPENAI_KEY"] = ""
os.environ["AZURE_OPENAI_ENDPOINT"] = ""

key = os.environ["AZURE_OPENAI_KEY"]
endpoint = os.environ["AZURE_OPENAI_ENDPOINT"]

credentials = CognitiveServicesCredentials(key)
client = ComputerVisionClient(endpoint, credentials)

uploaded = files.upload()
for filename in uploaded.keys():
    print('User uploaded file "{name}" with length {length} bytes'.format(name=filename, length=len(uploaded[filename])))

# アップロードした画像ファイルを使用
image_path = filename  # アップロードしたファイルの名前

# SDK call
with open(image_path, "rb") as image_stream:
    rawHttpResponse = client.read_in_stream(image_stream, language="en", raw=True)

# Get ID from returned headers
operationLocation = rawHttpResponse.headers["Operation-Location"]
numberOfCharsInOperationId = 36
idLocation = len(operationLocation) - numberOfCharsInOperationId
operationId = operationLocation[idLocation:]

# Wait for the operation to complete (this can be adjusted based on your needs)
time.sleep(10)

# SDK call
result = client.get_read_result(operationId)

# Check the status
if result.status == OperationStatusCodes.succeeded:
    for line in result.analyze_result.read_results[0].lines:
        print(line.text)
else:
    print("Operation status:", result.status)

綺麗な英語の画像であればほぼ100%読み込みができます。日本語の場合はlanguage="ja"に変更すればOKです。手書きもそこそこ読み取れました。