python 获取图片中文字的四种办法

pip install pytesseract 

from PIL import Image
import pytesseract

# 打开图像
image = Image.open('your_image.png')

# 使用Tesseract进行文本提取
text = pytesseract.image_to_string(image, lang='chi_sim')

# 输出提取的中文文本
print(text)

pip install easyocr

import easyocr

# 创建EasyOCR Reader
reader = easyocr.Reader(['ch_sim'])

# 打开图像
image = 'your_image.png'

# 使用EasyOCR进行文本提取
results = reader.readtext(image)

# 输出提取的中文文本
for (bbox, text, prob) in results:
    print(text)

pip install pyocr 

import pyocr
import pyocr.builders
from PIL import Image

# 获取Tesseract OCR工具
tools = pyocr.get_available_tools()
tool = tools[0]

# 打开图像
image = Image.open('your_image.png')

# 使用PyOCR进行文本提取
text = tool.image_to_string(
    image,
    lang='chi_sim',
    builder=pyocr.builders.TextBuilder()
)

# 输出提取的中文文本
print(text)

pip install google-cloud-vision

from google.cloud import vision_v1p3beta1 as vision
from google.oauth2 import service_account

# 设置认证凭据
credentials = service_account.Credentials.from_service_account_file(
    'your-service-account-key.json'
)

# 创建Vision API客户端
client = vision.ImageAnnotatorClient(credentials=credentials)

# 打开图像
with open('your_image.png', 'rb') as image_file:
    content = image_file.read()

# 创建图像对象
image = vision.Image(content=content)

# 使用Vision API进行文本提取
response = client.text_detection(image=image)

# 输出提取的中文文本
for text in response.text_annotations:
    print(text.description)