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 = Image.open(requests.get(url, stream=True).raw).convert("RGB") enhancer = ImageEnhance.Contrast(image) enhanced_image = enhancer.enhance(1.3) # Convert the enhanced image to a tensor and ensure values are in the range [0, 1] transform = transforms.Compose([ transforms.ToTensor() ]) image_tensor = transform(enhanced_image).unsqueeze(0).to(device) extracted_text = extract_text(enhanced_image) I am not sure why my pytesseract is returning gibberish, I am unsure why getting these outputs. That results in the following output: text = "m ms\n\nnu MvInIA6=Fmcem'x4Ir;u\nq Dnvuvauou 53523\n\n3 mm nyzenq795nx3I)1r>cmePmoe:.x\n- 531463 my\n\n1; I92I)xl2I)0,IMHz\n\n" I have tried changing the config, changing the filters, removing the filters, etc. I have updated pytesseract via pip, I am not sure what else there is to do. Anything help would be appreciated. Continue reading...