Any suggestions for the best approach to read and extract from pdfs and in a great accuracy and low cost? A solution was about deploying gemma model on a rented gpu on amazon with jevv as router.. any recommendations ?

[kamel996]

I'm researching the best approach for production-grade PDF extraction using visual understanding and vision-language models.

I'm particularly interested in extracting structured data from complex PDFs where traditional text extraction isn't sufficient.

Key challenges:

• Understanding tables, diagrams, charts, and spatial relationships.
• Extracting specific fields into validated JSON.
• Handling scanned documents and inconsistent layouts.
• Maintaining high accuracy across large document collections.
• Reducing hallucinations and validating extracted information.

Which VLMs, document parsing frameworks, or hybrid OCR + VLM architectures have you found most reliable in production?

I'd appreciate recommendations based on real-world implementations and benchmark results, rather than demos alone.