Towards Data Science
From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs
•1 min read•
#python#deployment#llm#compute
Level:Intermediate
For:ML Engineers, Data Scientists
✦TL;DR
A document extraction system was developed using a hybrid pipeline combining PyMuPDF and GPT-4 Vision, which significantly reduced the processing time for 4,700+ PDFs from 4 weeks to 45 minutes, replacing £8,000 in manual engineering effort. This system showcases the potential of leveraging existing libraries and models to create efficient and cost-effective solutions for document extraction tasks.
⚡ Key Takeaways
- The hybrid pipeline utilized PyMuPDF for PDF processing and GPT-4 Vision for text extraction and analysis.
- The system was able to process 4,700+ PDFs in 45 minutes, achieving a substantial reduction in processing time compared to manual efforts.
- The latest models were not the sole solution, and a combination of existing libraries and models was necessary to achieve the desired outcome.
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