I am using python3.7 and Tesseract-OCR version 5 on my Windows 10 box. I have pictures containing the numbers. However, despite that it is super clear to the human eyes, the Tesseract can't extract them correctly. Some give me a couple of correct readings. Some don't return anything at all. The attached one is the extreme case that nothing is returned... text = pytesseract.image_to_string(n) print(text) -> returns nothing I read that I must change the DPI to 300 for Tesseract to read it correctly. Could you show me the best way to do it? I googled but I couldn't find a straight forward way to do it. Thanks! Input image Hi Nathancy, here is the "unsupported image object" error I got when I run the pytesseract command >>> data = pytesseract.image_to_string(thresh, lang='eng', config='--psm 6') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Python37\lib\site-packages\pytesseract\pytesseract.py", line 309, in image_to_string }[output_type]() File "C:\Python37\lib\site-packages\pytesseract\pytesseract.py", line 308, in <lambda> Output.STRING: lambda: run_and_get_output(*args), File "C:\Python37\lib\site-packages\pytesseract\pytesseract.py", line 208, in run_and_get_output temp_name, input_filename = save_image(image) File "C:\Python37\lib\site-packages\pytesseract\pytesseract.py", line 121, in save_image image = prepare(image) File "C:\Python37\lib\site-packages\pytesseract\pytesseract.py", line 113, in prepare raise TypeError('Unsupported image object') TypeError: Unsupported image object Continue reading...
