方法
get_tesseract_version,返回tesseract的版本.

image_to_string,返回识别的字符串

image_to_boxes,返回字符和位置

image_to_data,返回边框，置信度和其他的信息，可以参考Tesseract TSV

image_to_osd,返回orientation and script detection
参数

image Object, PIL Image/NumPy array of the image to be processed by Tesseract

lang String, Tesseract language code string

config String, Any additional configurations as a string, ex: config=’–psm 6’

nice Integer, modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.

output_type Class attribute, specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.

安装:pytesseract

sudo pip3 install -U git+https://github.com/madmaze/pytesseract

ubuntu报错:

pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it's not in your path

sudo apt install tesseract-ocr
sudo apt install libtesseract-dev

报错:

pytesseract.pytesseract.TesseractError: (1, 'Error opening data file /usr/share/tesseract-ocr/4.00/tessdata/chi_sim.traineddata Please make sure the TESSDATA_PREFIX environment variable is set to your "tessdata" directory. Failed loading language \'chi_sim\' Tesseract couldn\'t load any languages! Could not initialize tesseract.')

 

将文件 :

下载:chi_sim.traineddata 文件考进 /usr/share/tesseract-ocr/4.00/tessdata/ 文件夹中.

chi_sim.traineddata这个文件上传不上去 ,自己找吧

pytesseract.pytesseract.TesseractError: (1, 'Error opening data file /usr/local/Cellar/tesseract/3.05.01/share/tessdata/chi_sim.traineddata 
Please make sure the TESSDATA_PREFIX environment variable is set to the parent directory of your "tessdata" directory. 
Failed loading language \'chi_sim\' Tesseract couldn\'t load any languages! Could not initialize tesseract.')

首先是安装：



brew install tesseract

解决办法： 

1、要设置环境变量 TESSDATA_PREFIX，它的值为tessdata目录 

2、因为要用tesseract来识别中文所以需要chi_sim语言包支持

一、tessdata目录

1.1 可能在/usr/share/tesseract

1.2 可能在/usr/local/Cellar/里

由于我是brew 安装所以我的目录是第二种

export TESSDATA_PREFIX=/usr/local/Cellar/tesseract/3.05.01/share/tessdata
export PATH=$PATH:$TESSDATA_PREFIX

二、chi_sim下载

现在tesseract 被托管到github上 
https://github.com/tesseract-ocr/tessdata 

然后看到里面可以下载相应的语言包 
注意，上面的链接滑到底有提示

These language data files only work with Tesseract 4. They are based on the sources in tesseract-ocr/langdata on GitHub.

Get language data files for Tesseract 3.04 or 3.05 from the 3.04 tree.

More information and a complete list of all languages is available in the Tesseract wiki.

由于版本问题所以需要到对应的连接进行下载。 

支持的语言查看

tesseract --list-langs

显示： 

List of available languages (3): 

chi_sim 

eng 

osd 

终于ok了,不过识别率一般般吧，不是很理想 

以上就是我解决问题的过程，如果对你有所帮助，希望你点个赞O(∩_∩)O

参考链接： 
http://xiaosheng.me/2015/12/18/article10/ 
https://tonydeng.github.io/2016/07/28/on-the-use-of-tesseract-picture-text-recognition/

pip install pillow
pip install pytesser3
pip install pytesseract
pip install autopy3-0.51.1-cp36-cp36m-win_amd64.whl

import pytesseract
from PIL import Image

pytesseract.pytesseract.tesseract_cmd = 'D:\\tesseract\\Tesseract-OCR\\tesseract.exe'
text = pytesseract.image_to_string(Image.open('1.jpg'))

print(text)