Image to text converter using pytesseract
Please run this command to install
Python 2:
pip install opencv-python
Python 3:
pip3 install opencv-python
Python 2:
pip install pytesseract
Python 3:
pip3 install pytesseract
Then run these commands to show the text：
Python 2.x
python run.py
Python 3.x
python3 run.py
#Set your Custom Language ben: Bangla eng: English
lang='eng+ben'
You have to set trinee data for your specific language from here : https://github.com/tesseract-ocr/tessdata in this path /usr/local/share/tessdata/
#set Configure
you have to set your configuration.
config='--psm 6'
Please see the configuration details
Page segmentation modes:
0 Orientation and script detection (OSD) only.
1 Automatic page segmentation with OSD.
2 Automatic page segmentation, but no OSD, or OCR.
3 Fully automatic page segmentation, but no OSD. (Default)
4 Assume a single column of text of variable sizes.
5 Assume a single uniform block of vertically aligned text.
6 Assume a single uniform block of text.
7 Treat the image as a single text line.
8 Treat the image as a single word.
9 Treat the image as a single word in a circle.
10 Treat the image as a single character.
11 Sparse text. Find as much text as possible in no particular order.
12 Sparse text with OSD.
13 Raw line. Treat the image as a single text line, bypassing hacks that are Tesseract-specific.
Here is a sample usage of image_to_string with multiple parameters.
data = pytesseract.image_to_string(thresh, lang='eng', boxes=False, \
config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')
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