Extracting prices from messy PDFs raises real LLM cost questions
Thousands of PDFs need to be turned into a with product numbers and prices. The files do not follow one format: some have clean tables, while others place prices inside ordinary paragraphs. Extra details such as delivery charges and other pricing conditions also affect the final price.
Those conditions do not apply to every product, so attaching them to all products would create wrong results. The main options are , which fits an AWS-heavy setup, or sending the PDFs to a and asking for with a . The may be easier to operate, but cost becomes a concern at this document volume.
The practical question is which approach works reliably in production, how accurate it is, and how its cost can be controlled.
Key points
- The PDFs contain product numbers, prices, and pricing conditions in inconsistent formats.
- Some prices are in tables, while others are buried in paragraphs.
- Delivery charges and other conditions may apply only to certain products.
- is being considered, but large-scale cost is a concern.
- A could return and a , but accuracy and cost must be tested.