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Introducing Box Extract: Get actionable data from enterprise content at scale

Blog post from Box

Post Details
Company
Box
Date Published
Author
Scott Picanco
Word Count
979
Company Posts That Month
24
Language
English
Hacker News Points
-
Post removed?
No
Summary

Box Extract is a newly launched AI-powered data extraction tool designed to enhance the processing of unstructured content within enterprises by combining advanced OCR capabilities with state-of-the-art AI models. Unlike traditional OCR and legacy IDP tools that struggle with context and require extensive maintenance, Box Extract offers a scalable solution by understanding language, context, and intent, enabling the automatic extraction of information from various document types and saving it as metadata on Box. The tool utilizes leading AI models such as Google Gemini 3 and OpenAI’s GPT 5.2I, along with techniques like extraction-specific retrieval-augmented generation (RAG) and AI graders to improve data quality iteratively. It provides different extraction agents to balance accuracy and budget needs while supporting enterprise-scale operations through features like Custom Extract Agents and automated workflow integration. Box Extract aims to automate business processes, enhance content discovery, and enable smarter decision-making across industries by delivering high-quality, structured data, significantly improving operational efficiency without increasing headcount.

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