Best LLM models for invoice data extraction (poor scan quality + handwritten fields)

Hello all, I'm fairly new to the whole Llm space and could really use some guidance from people who've done similar work. Im building a pipeline to extract structured data from large-batch of invoices. The quality of those files is very inconsistent, while some files are fairly fine, most are skewed, partly faded, and some parts are just crossed and handwritten, often even the text is positioned incorrectly. So far, i've tried multiple vision-models(a mix of hosted APIs and open-weight models through providers), but results have been mixed - either the accuracy drops hard on smaller open weight models like qwen 8b, larger open-weight models (tried Qwen 235B) are held back by unreliable hosting — out of every 4 calls, roughly 1 comes back successful and 3 return with no output at all, and hosted APIs get expensive fast and unpredictably(gemini charged me like 5$ for a single pdf with 50 pages) Would appreciate any recommendations! submitted by /u/Ok-Statistician-6609 [link] [comments]

Source: r/ollama | 2026-08-17