Google Cloud Document AI
by Google
Google Cloud's processors for parsing and extracting documents
Reviewed by the the30top research team · Last reviewed 2026-10-27
Overview
Document AI is Google Cloud's service for parsing documents and extracting structured data with trainable processors. New Google Cloud customers get $300 in free credit, and parsing is priced by document size, with the pricing page citing $1 for a document of 91 to 100 pages. It is a cloud building block with training code samples and a console, so teams still build their own approval and hand-off layers.
Our verdict
A solid cloud-native extraction service with open pricing, best for teams already using Google Cloud. Expect to build everything around it.
Best for
Teams on Google Cloud that want trainable extraction processors behind an API.
Avoid if
You want a ready-made review and routing workflow for non-technical staff.
Pros
- Public pricing and $300 new customer credit
- Trainable processors with evaluation tooling
- Regional endpoints for us and eu
Cons
- Requires Google Cloud setup and engineering
- No built-in finance or back office workflow
- Pricing varies by processor and document size
Key capabilities
Frequently asked questions
How much does Google Document AI cost?
Pricing is by processor and document size. The pricing page shows, for example, $0.20 for an 11 to 20 page document and $1 for 91 to 100 pages.
Is there a free trial?
New customers get $300 in free Google Cloud credit usable on Document AI.
Can I train my own processor?
Yes. Google's docs include a guide and code for training and evaluating processor versions.