#Best AI Models for Parsing Shareholder Information from PDFs and Images
1 messages · Page 1 of 1 (latest)
These are public documents
You can find that under the commercial register in Germany, which is completely public
you could just link to the source directly, but I still recommend against reuploading it
Ok
Hey everyone,
I'm fairly new to the AI space and could use some support.
For a project, I want to extract information from shareholder documents (in German) and need a solid model that can analyze these documents and extract or calculate the names of the shareholders and their percentage shares. I receive the documents as PDF or PNG files.
I tried using GPT-4o-mini, but unfortunately, they don't offer fine-tuning.
Does anyone have good tips on how I could solve this problem and which model to use?
perhaps claude 3.7, grok or gemini 2.5 pro
I have tried grok to analyze a thousand lines of code
Ahh okay, but I need to process around 10,000+ documents.
Do you have any good tips for local models or more affordable ones that still perform well? :D