top of page
2 - 3 Weeks

Average time from first call to first prototype

50+

AI services supported on all major cloud platforms

Build This Prototype

Google Cloud Document AI with API

We'll explore the powerful combination of Google API and the Form Parser Processor, unravelling the capabilities of document understanding and data extraction.

Category:

Sub-category:

Generative AI

Document AI - Google Cloud

Document AI is a document understanding platform that takes unstructured data from documents and transforms it into structured data, making it easier to understand, analyze, and consume.


Document AI uses machine learning and Google Cloud to help you create scalable, end-to-end, cloud-based document processing applications.


Using Document AI, you can:

  • Pre-process documents with image quality detection and deskewing

  • Extract text and layout information from document files

  • Identify key-value pairs in structured forms

  • Split and classify documents by type

  • Extract and normalize entities

  • Label and review documents

  • Store, search, organize, govern, and analyze documents and metadata



This diagram illustrates all of the key document processing steps that are supported by Document AI and how they can connect to each other.


Demo




Use cases


  1. Processing invoices and receipts: Document AI can be used to automatically extract key information from invoices and receipts, such as the vendor name, invoice date, and total amount due. This information can then be used to populate accounting software or to generate reports.

  2. Processing insurance claims: Document AI can be used to extract key information from insurance claims, such as the policyholder's name, the date of the incident, and the description of the damage. This information can then be used to process claims more quickly and efficiently.

  3. Processing loan applications: Document AI can be used to extract key information from loan applications, such as the applicant's name, income, and debt-to-income ratio. This information can then be used to make lending decisions more quickly and accurately.

  4. Processing customer orders: Document AI can be used to extract key information from customer orders, such as the customer's name, shipping address, and the items ordered. This information can then be used to process orders more quickly and accurately.

  5. Processing legal documents: Document AI can be used to extract key information from legal documents, such as contracts, leases, and court filings. This information can then be used to automate legal processes and to reduce the risk of human error.



These are just a few of the many ways that Google Document AI can be used to automate the processing of unstructured documents. If you are looking for a way to improve the efficiency and accuracy of your business processes, Document AI is a powerful tool to consider.

Related Projects

Generative AI

Google Cloud Document AI with API

Generative AI

Quiz AI Assistant App

Generative AI

PDF AI Assistant | Chat with PDF

Project Gallery

bottom of page