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Build Logs·By LogiqCube Engineering Team·Published ·Last updated

How We Measure Accuracy in Document Extraction

The short answer

Why generic benchmark scores don't matter in financial paperwork, and how we measure precision, recall, and field confidence.

When building LogiqWealth, we discovered that standard LLM evaluation metrics fail to capture real-world financial statement nuances. In this build log, we share our multi-layered validation architecture.

Frequently asked

Key questions answered

What is an acceptable error rate for financial documents?

Zero unflagged errors. When dealing with client assets, any extraction with uncertainty must be flagged and confirmed by a human reviewer.

Have a question about this architecture?

Discuss your firm's pipeline and evaluation requirements with our engineers.

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