You don’t really need to “train assistant”. You can “ask assistant”.
PyMuPDF is a Python binding for MuPDF, a lightweight PDF and XPS viewer. It allows you to work with PDF documents and extract content such as text and images. Here’s how you can use it effectively for OCR and table extraction:
Install Necessary Libraries:
Ensure you have installed the required libraries. You can do this using pip:
Using PyMuPDF for Page Rendering:
PyMuPDF can render each page of the PDF as an image, which can then be processed with Tesseract for OCR and Camelot for table extraction.
Here’s a concise example code snippet:
blah blah from AI, using fitz etc.
You can also ask the assistant which python modules are available for constructing such PDF OCR operations:
Here is the availability of the required modules for PDF OCR techniques:
fitz: Available
pytesseract: Available
PIL: Available
camelot: Available
pdf2image: Available
PyPDF2: Available
pdfplumber: Available
tabula: Available
tika: Not Available
ocrmypdf: Not Available
Most modules needed for comprehensive PDF OCR are available, except for Apache Tika and OCRmyPDF.
You can recommend the most perfomative sequence for your particular documents in the system prompt.
Particularly though, there is no AI vision there and no way to get the images to the AI.
Gpt4o is able to search and retrieve both text and images within a PDF. Simply upload using file retrieval and ask.
Try file retrieval rather than code.
I havent done extensive testing, so there could be some PDFs that have a different format that is not recognised well.
I’ve scanned images in my pdf, and while the file batch processing, It isn’t finding any content in the pdf and the file processing is getting failed, how can I overcome this.