多模态 / NAVIN RESEARCH
Extract Structured Data From Documents With Multimodal Models
Combine file parsing, page images, schemas, citations, and validation for dependable document extraction.
Combine file parsing, page images, schemas, citations, and validation for dependable document extraction.
简要回答: Use native text extraction when available, page images when layout matters, and a strict output schema for target fields. Preserve page references and mark uncertainty. Validate totals, dates, identifiers, and cross-field rules before downstream use.
实施步骤
- Classify document type and detect unreadable or missing pages.
- Extract text and layout with stable page identifiers.
- Ask for only required fields plus page evidence.
- Run domain validations and send exceptions to review.
验证清单
- Create a labeled set spanning templates and scan quality.
- Measure exact field accuracy and missing-field behavior.
- Test prompt injection embedded inside documents.
常见错误
- Sending hundreds of pages without retrieval.
- Guessing absent values.
- Discarding page-level evidence.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
