Open thorory opened 3 weeks ago
Hey @thorory, I'm here to help you with any questions or issues you have while waiting for a human maintainer. Let me know how I can assist you!
LlamaIndex supports the extraction and indexing of images, such as screenshots, within documents. You can use the ImageReader
class from the llama_index.readers.file
module to parse text from images using either the DONUT model or pytesseract
. This allows you to handle screenshots and other images within your system operation manuals effectively.
Here's a code snippet to set up an ImageReader
for handling .jpg
, .png
, and .jpeg
files:
from PIL import Image
from llama_index.readers.file import (
DEFAULT_FILE_EXTRACTOR,
ImageReader,
)
@st.cache_resource
def get_file_extractor():
image_reader = ImageReader(keep_image=True, parse_text=True)
file_extractor = DEFAULT_FILE_EXTRACTOR
file_extractor.update(
{
".jpg": image_reader,
".png": image_reader,
".jpeg": image_reader,
}
)
return file_extractor
file_extractor = get_file_extractor()
Additionally, LlamaIndex provides the ImageDocument
and ImageNode
classes to handle images within the indexing process. These classes ensure that images can be indexed and queried effectively [1][2].
For integrating and displaying images within indexed documents, you can use the ImageParser
and utilities for handling image URLs and encoding images to base64. This can be useful for displaying images in a web application or other interfaces [1][3].
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Question Validation
Question
These documents typically contain screenshots from apps or web pages.