做合规、审计或金融文档处理的团队终于有了可追溯的 AI 提取方案——LlamaParse 的精确坐标让每个数值都有据可查，建议直接集成到你的文档处理管道中。
LlamaIndex 宣布在 LlamaParse 中推出 Granular Bounding Boxes 功能，能够为文档中每个提取值提供词、行、单元格级别的精确坐标。这意味着审计或合规团队可以追踪每个数值的原始来源，而不仅仅是段落或表格块。该功能专为审计工作流、合规审查以及任何需要验证的管道设计，解决了 AI 提取结果难以追溯的问题。用户现在可以查看每个值在文档中的确切位置，从而建立完整的可验证溯源链。
Parsing a document accurately is one thing. Proving where every value came from is another. When ...
Parsing a document accurately is one thing. Proving where every value came from is another. When a compliance team reviews an AI extraction, or an auditor needs to sign off on a figure pulled from a financial filing, "it came from this document" isn't enough. They need to see exactly where. The specific cell in the table, the exact line on the page, the precise word the agent used. Most parsers can get you to a paragraph or a table block. That's where the trail ends. Today we're shipping Granular Bounding Boxes in LlamaParse — word, line, and cell level coordinates for every value in your document. The result is a complete, verifiable trail from every extracted value back to its exact source in the document. Built for audit workflows, compliance review, and any pipeline where verification isn't optional. Read the full announcement → llamaindex.ai/blog/announcin… Your browser does not support the video tag. 🔗 View on Twitter 💬 3 🔄 5 ❤️ 13 👀 2191 📊 6 ⚡