AI产品精选

LlamaParse 新增多层级边界框:区域、行、单词级定位

One of the hardest parts of document parsing is getting granular attribution and bounding boxes. Thi...

精选理由

LlamaParse 更新了文档解析的边界框,支持按区域、行、单词定位文本,方便审计和研究场景。

AI 摘要

LlamaParse 改进了文档解析中的边界框功能,现在支持区域级、行级和单词级三层边界框。用户可以根据需求选择不同粒度来对文本进行溯源,例如审计发票中的具体数字或定位研究报告中的图表。该功能已在 LlamaParse 云端服务中可用。

原文 · Jerry Liu

One of the hardest parts of document parsing is getting granular attribution and bounding boxes. Thi...

One of the hardest parts of document parsing is getting granular attribution and bounding boxes. This lets you ground each piece of text in the specific place in the document it came from. We’ve done some awesome work these past few months improving our bounding boxes, and we now offer multi-layered bounding boxes: region-level, line-level, and word-level. This lets you get attribution at whatever you need - whether the end-user needs to audit a specific number in the invoice, or they want to understand the chart in the research report. Now available in LlamaParse: cloud.llamaindex.ai 💬 2 🔄 1 ❤️ 12 👀 777 📊 4 ⚡