I’m new to using Pytesseract, and I’m having trouble recognizing an image:

I currently am writing a program in python that takes an image that has a lot of text, extracts this to a .txt file, then compares the found words with a list of words in another file and creates some coordinates(according to the pixels) of the words found in the image, if an image is found a red square is drawn in the image. So far I have dealt with the coordinates part properly, the squares are drawn around the words and the coordinates given match very accurately.
My problem is the word detection: several words that are indeed in the image are NOT found by the ocr, I think the problem is because they are not written in the same line but rather they are inside several white spaces so the sentences are “cut” : example Journal Voucher -> Journal and several words later we find the Voucher word.
I did a test on the OneNote text detection function and I see that the results are very good, so I am convinced it is possible to get better results detecting the text.
I would appreciate any help improving the text detection( another library?, a different approach?) I have run out of idea on how to improve the text detection but it is imperative that I improve it otherwise the coordinates are not getting detected either.
this is the part of my code that handles the image:

As an example, I have this image and will like to convert this to an modifiable excel table. In have tried using the ‘pytesseract’ library, but it doesn’t accurately extract the text from the image into a correct string format that can be converted into a csv. I have manually created the string to get the csv, but this wouldn’t be feasible for a larger table. What can i do?

This is the image

pytesseract.pytesseract.tesseract_cmd = “C:\Program Files (x86)\Tesseract-OCR\tesseract.exe” def extract_text(image): gray = image.convert(‘L’) enhancer = ImageEnhance.Contrast(gray) enhanced_image = enhancer.enhance(2) enhanced_image = enhanced_image.filter(ImageFilter.GaussianBlur(radius=.3)) enhanced_image.save(“processed_image.png”) text = pytesseract.image_to_string(enhanced_image, config=’–psm 12′) print(f'{text=}’) return text @interactions.slash_command(“predict”, description=”Predict the location of an uploaded image”) @interactions.slash_option(“image”, “Upload an image”, opt_type=interactions.OptionType.ATTACHMENT, required=True) async def predict(ctx: interactions.SlashContext, image: interactions.Attachment): await ctx.defer() url = image.url image = […]

I am trying to draw the bbox around each character in my image using pytesseract.