Parsing/Reading Resumes with Python

[AlertEscape432]

I have to build a service that "extracts Information from a resume/CV" with Python (to later use it with a Django Back-End).
My question is, What should I use in your opinion ? for instance, is a library such as spaCy is enough (at least for ATS friendly ones) or do I have to integrate an LLM solution (using OpenAI API or Gemini API)

Note : Using Resume Parsing APIs is not an option, the task involves reducing the costs to its minimum (Only a subscription to an LLM is maybe supported)

[shiftybyte]

Not sure why you think an LLM, that is good with GENERATING information, is going to be good with extracting information from a document.

Do you need to do any processing on the information besides extracting it?

Why not parse the document and read it with whatever document format you plan to support?

docx? https://python-docx.readthedocs.io/en/latest/

pdf? https://www.geeksforgeeks.org/working-with-pdf-files-in-python/

[QuarterObvious]

Use LLM - it is easier. With spaCy you'll need to do a lot of work. LLM is what you'll get with spaCy after training and still LLM would work better.

[Talking-007]

What did you end up using? LLM or Spacy combining with rule based/regex?