Box AI Full Demo: Extract Metadata, Structured Data & Summarize Documents Using AI!
Education
Introduction
In this article, we'll explore the exciting features of Box AI's API, particularly focusing on its capabilities for extracting metadata, structured data, and summarizing documents. We'll walk through the various examples available in the interactive demo section, providing you with insights on how to effectively utilize these tools.
Accessing the Interactive Demo
To get started, visit the Box AI Developer Zone. Once you're there, scroll down to find different kinds of interactive demos that are currently in public beta. The primary demos include:
- Extract Metadata
- Extract Structured Metadata
- Get a Summary
Extracting Metadata
Let’s begin with the Extract Metadata demo. In this section, you can select a sample document from the options available on the left side of the screen. For the purpose of this demonstration, we’ll select a sample contract, sample_contract.docs.
You also have the option to specify the input type, which can be either natural language or JSON. Upon clicking the Extract button, the API retrieves metadata from the document, including vital information like names, dates, and addresses. This feature is incredibly handy for quickly gathering insights from documents.
Extracting Structured Metadata
Next, we have the Extract Structured Metadata demo. This feature operates similarly to the previous one, but with a greater focus on refinement. It allows you to extract specific fields such as supplier names, contract dates, and terms. Using the same sample contract ensures consistency during this demonstration. This structured metadata extraction is particularly useful for legal and business documents where organized data is critical.
Summarizing Documents
The final demo we will cover is the Get a Summary feature. Box AI can summarize your documents in various tones of voice—whether formal, casual, or even persuasive. For this example, let’s choose a sample article, sample_article.doc, to illustrate how it works.
After selecting the desired tone of voice and specifying the length of the summary, Box AI generates a tailored summary that fits your needs. This capability can help you adapt the document content for different audiences, making communication more effective.
Automating the Process
If you find these features compelling and are interested in automating the metadata extraction and summarization process, head over to the Box Community GitHub Repo. There, you'll find resources and guidelines on how to implement this API for your own projects. It's an excellent way to save time and increase productivity.
In conclusion, today we've provided a comprehensive overview of Box AI's API, covering how to extract both regular and structured metadata and generate document summaries in various tones of voice. Be sure to check out the Box AI Developer Zone and GitHub repo for further exploration.
Keywords
- Box AI
- API
- Extract Metadata
- Structured Data Extraction
- Document Summarization
- Interactive Demo
- Productivity
FAQ
Q: What is Box AI?
A: Box AI is a platform that allows users to extract metadata, structured data, and summarize documents using advanced AI capabilities.
Q: What types of documents can I use with Box AI's API?
A: You can use various types of documents, including contracts and articles, to demonstrate the API's capabilities.
Q: How does structured metadata extraction differ from regular metadata extraction?
A: Structured metadata extraction allows for specific fields to be targeted, whereas regular extraction retrieves general metadata like names and dates.
Q: Where can I find the interactive demos for Box AI?
A: The interactive demos can be accessed in the Box AI Developer Zone, where different functionalities are available for public beta testing.
Q: Is there a way to automate the document processing using Box AI's API?
A: Yes, by visiting the Box Community GitHub repo, you can find information on how to implement the API for automation in your own projects.