Teach you to use Python programming to implement Baidu OCR interface docking and extract text from pictures

Teach you how to use Python programming to implement Baidu OCR interface docking and extract text from pictures

Foreword:

With the continuous development of technology, artificial intelligence The application of intelligence is becoming more and more widespread. Among them, the application of text recognition (OCR) technology is particularly important, which can help us extract text from images and achieve automated processing. Baidu OCR interface is a very popular text recognition technology currently. This article will teach you how to use Python programming to connect to Baidu OCR interface to extract text from pictures.

1. Create a Baidu OCR account

First, you need to create a Baidu OCR account. Visit Baidu Developer Center (https://cloud.baidu.com/), register an account and create a new application.

2. Install Baidu OCR Python SDK

Next, we need to install Baidu OCR Python SDK, which encapsulates the interaction logic with Baidu OCR interface to facilitate our text processing Identify the operation.

Open a terminal or command prompt and execute the following command to install the SDK:

pip install baidu-aip

3. Import the necessary libraries and set the API Key

In your Python In the file, import the necessary libraries and set the API Key. API Key is the key owned by the application you create in your Baidu OCR account, which is used to authenticate your identity. The code example is as follows:

from aip import AipOcr

# 设置APPID/AK/SK
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

# 创建AipOcr对象
client = AipOcr(APP_ID, API_KEY, SECRET_KEY)

Replace your_app_id, your_api_key, your_secret_key in the above code with the application you created in your Baidu OCR account The corresponding API Key.

4. Reading images and calling the interface

Next, we need to read the image to be recognized and call the Baidu OCR interface to extract the text in the image.

def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

# 读取图片
image = get_file_content('your_image_path')

# 调用文字识别接口
result = client.basicGeneral(image)

# 提取文字
words = []
for item in result['words_result']:
    words.append(item['words'])

# 打印文字
for word in words:
    print(word)

Replace your_image_path in the above code with the path of the image you want to identify.

5. Run and test

After completing the above steps, you can run the Python file and test it to see the text extracted from the image.

Summary:

This article introduces the steps to use Python programming to implement Baidu OCR interface docking and extract text from pictures. You can further call other Baidu OCR interfaces according to your own needs to achieve more text recognition functions. I hope this article helps you and provides some assistance for your project development.

Reference link: https://cloud.baidu.com/doc/OCR/index.html

Code sample link: https://github.com/baidu-aip/python- sdk

The above is the detailed content of Teach you to use Python programming to implement Baidu OCR interface docking and extract text from pictures. For more information, please follow other related articles on the PHP Chinese website!