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User seeks local AI for complex document processing, citing Gemma 4 limitations

A user on Reddit is seeking recommendations for local AI solutions to process complex industrial documents, specifically metal mill test reports. They aim to replace a commercial product with a system that can split multi-page PDFs into individual reports, extract key metadata like lot numbers and alloy types, and store this information in a searchable database. The user has experimented with Gemma 4 26B A4B but found it struggles with determining page boundaries and handling varying document formats, though it performs well with structured prompts on individual reports. They are considering building agentic tooling and are looking for models proficient in tool-calling and agentic workflows, while also expressing concerns about using Chinese-developed models due to potential compliance issues. AI

IMPACT User seeks guidance on AI tooling for document processing, highlighting challenges with existing models and compliance concerns.

RANK_REASON User is seeking advice and sharing their experience with existing tools, not announcing a new development.

Read on r/LocalLLaMA →

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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/MrMeatagi ·

    Model/tooling recommendations for complex document processing.

    <!-- SC_OFF --><div class="md"><p>I have huge stacks of mill test reports for metal shipments. Each test report is 1-5 pages, in what are sometimes 100+ page stacks. The reports come from various vendors in wildly varying formats and quality. I'm currently scanning them in and ru…