What is Agentic Document Extraction?
Imagine you have a pile of old letters, receipts, and contracts that you need to organize. Instead of manually reading each document and typing out the information, you could use a smart computer program that reads the documents automatically and extracts the key details for you. This is exactly what Agentic Document Extraction does, but with a bit more intelligence.
What is it?
Agentic Document Extraction is a technology that uses artificial intelligence (AI) to automatically read and understand documents. Think of it like having a helpful assistant who can look at any document and tell you what it says, without you having to read it yourself.
Earlier versions of this technology were called Gen1, and now LandingAI has released a new version called Gen2. The big difference is that this new version is built on top of something called the DPT-3 model family, which is like a more advanced set of tools that makes the system smarter and more accurate.
How does it work?
When the system processes a document, it breaks it down into smaller parts, just like how you might break down a big puzzle into smaller pieces. In the old system, they would split the document into chunks, but the new system works differently. It organizes the document into a tree structure:
- Document: The entire paper or file
- Page: Each individual page within the document
- Block: Smaller sections on a page, like paragraphs or tables
This tree structure helps the AI understand the document better, like how a map helps you navigate a city.
There are two main tools in this new system:
- DPT-3 Pro: This tool is very good at reading entire lines of text, like a person who can quickly scan a page and understand the whole sentence.
- DPT-3 Verity: This tool is more precise, looking at individual words and giving a score of how confident it is in its reading. It's like a proofreader who not only reads the words but also tells you how sure they are about each word.
When the system finishes reading, it counts how many characters (like letters and numbers) it output instead of counting pages, which makes the billing more accurate.
Why does it matter?
This new technology matters because it makes processing documents much faster and more accurate. For businesses, this means:
- Less time spent manually reading and typing information
- More accurate extraction of data from documents
- Lower costs because they only pay for what they actually use (characters, not pages)
For example, a bank could use this system to automatically read loan applications, extract the customer's information, and process the applications much faster than before.
Key takeaways
- Agentic Document Extraction is AI that reads and understands documents automatically
- Gen2 is a newer, improved version that uses better tools (DPT-3 models)
- It organizes documents into a tree structure (document → page → block) for better understanding
- DPT-3 Pro reads whole lines, while DPT-3 Verity reads individual words with confidence scores
- Billing is now based on characters processed, making it more accurate and fair
Overall, this is a step forward in how computers can help us work with documents more efficiently and intelligently.
