Open cxycxm opened 2 weeks ago
To solve the problem of garbled characters caused by pictures in the read document, you can use Optical Character Recognition (OCR) to extract text from images. LlamaIndex supports OCR using the pytesseract
library. Here is an example of how you can handle this:
Install the required libraries:
pip install pytesseract Pillow
Use the process_image
method to extract text from images:
from io import BytesIO
import pytesseract
from PIL import Image
import requests
def process_image(link):
text = ""
try:
response = requests.get(link)
if response.status_code == 200 and response.content:
try:
image = Image.open(BytesIO(response.content))
text = pytesseract.image_to_string(image)
except OSError:
print(f"Error processing image at {link}: Unable to open or read the image content.")
else:
print(f"Error fetching image at {link}: HTTP status code {response.status_code}.")
except requests.exceptions.RequestException as e:
print(f"Request error while fetching image at {link}: {e}")
return text
This method fetches the image from the provided link, processes it using pytesseract
to extract text, and returns the extracted text [1].
Additionally, ensure that your document reader decodes in UTF-8 and handles encoding issues properly to avoid garbled characters [2][3].
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How to solve the problem of garbled characters caused by pictures in the read doc