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Google Document AI

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Introduction
Google Cloud service for developers to build high-accuracy processors that extract, classify, split, and summarize data from documents at scale.
Added on
10/23/2026
Pricing
Paid
Google Document AI screenshot
Google Document AI website preview

PRODUCT OVERVIEW

What is Google Document AI?

Google Document AI is a Google Cloud service that lets developers create high-accuracy processors to extract structured and unstructured data from documents, classify and split documents, and automate tedious document tasks. It includes a generative AI-powered custom extractor that can be fine-tuned with as few as 10 documents, a custom splitter for composite documents, a custom classifier, Enterprise Document OCR, a form parser, a layout parser, and a summarizer. Processors can be built through the Google Cloud console UI or API, and workflows can automate document ingestion, processing, and storage. It integrates with BigQuery and Agent Search, and is intended for developers and organizations handling mail rooms, mortgage processing, procurement, and archives. Pricing is pay-as-you-go per processed page, and new customers get $300 in free credit.

How to use Google Document AI

  1. 1

    Set up the Document AI API

    Enable the Document AI API in your Google Cloud project following the official setup documentation.

  2. 2

    Select a parser in the console

    Use the Google Cloud console to choose the parser that fits your project needs, such as Enterprise Document OCR, custom extractor, custom splitter, or custom classifier.

  3. 3

    Train a custom processor

    Fine-tune a generative AI-powered processor with as few as 10 documents, or build one from the ground up with your own documents and custom classes.

  4. 4

    Process a document

    Try processing a document with Document AI to extract text, layout, structures, and entities.

  5. 5

    Evaluate processor performance

    Review precision, recall, F1 score, and other metrics for each parser using the evaluation documentation.

Google Document AI Features

Custom extractor powered by generative AI, fine-tunable with as few as 10 documents

Custom splitter for composite documents with custom classes

Custom classifier with few-shot learning and iterative auto-labeling

Enterprise Document OCR for text and layout extraction

Form parser and layout parser for structured data

Generative AI-powered document summarization

Build processors through the Google Cloud console UI or API

Workflows to automate document ingestion, processing, and storage

BigQuery integration for document analytics

Agent Search integration

Google Document AI Use Cases

  • Automated document data extraction for mail rooms, shipping yards, mortgage processing, and procurement

  • Splitting composite documents such as mortgage packages into logical documents

  • Classifying documents with custom classes

  • Digitizing archival text for ML model training

  • Extracting document metadata into BigQuery for analytics

  • Summarizing large documents

Google Document AI FAQs

It is a Google Cloud service that lets developers create high-accuracy processors to extract structured and unstructured data from documents, classify and split documents, and automate document tasks.

Cost is based on the number of processed pages per month, the relevant quota, and any purchased capacity reservation. Each parser has its own per-1,000-page rate.

New customers get $300 in free credit to try Document AI and other Google Cloud products.

You can achieve higher accuracy by providing as few as 10 documents to fine-tune the large model.

Yes. Custom splitter identifies each logical document and splits composite documents into single-class documents, and can be trained with your own documents and custom classes.

Yes. You can extract metadata from documents directly into a BigQuery objects table and join parsed data with other BigQuery tables.

You can use the Google Cloud console UI or the API to create processors, and enable workflows to automate document ingestion, processing, and storage.

Document AI supports many regions and multi-regions, but functionality varies by region; see the official regions documentation for details.

Google Document AI Official Information

Company
Google Cloud
Website
https://cloud.google.com/document-ai
Documentation
https://cloud.google.com/document-ai/docs/overview

Contact โ†—

Google Document AI Pricing

Paid

Cost is based on the number of processed pages per month, the relevant quota, and any purchased capacity reservation. New customers get $300 in free credit.

Enterprise Document OCR

$1.50USD / per 1,000 pages, 1โ€“5,000,000 pages per month

Pay-as-you-go pricing for digitizing text with the Enterprise Document OCR processor.

  • Detects and extracts text and layout information from documents
  • Configurable features to tailor document processing
  • Billed per 1,000 pages processed

OCR add-ons

$6USD / per 1,000 pages, 1โ€“5,000,000 pages per month

Additional OCR capabilities billed per 1,000 pages.

  • Add-on options for OCR processing
  • Billed per 1,000 pages processed

Custom extractor

$30USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Extract structured data from documents with a generative AI-powered custom extractor.

  • Works out of the box across a wide array of documents
  • Fine-tune with as few as 10 documents
  • Billed per 1,000 pages processed

Form parser

$30USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Extract structures and entities from forms, billed per 1,000 pages.

  • Extracts structures and entities from documents
  • Billed per 1,000 pages processed

Layout parser

$10USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Parse document layout, including initial chunking, billed per 1,000 pages.

  • Includes initial chunking
  • Billed per 1,000 pages processed

Custom splitter

$5USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Split composite documents into single-class documents by identifying each logical document.

  • Usable out of the box or trained with your own documents
  • Supports custom classes
  • Billed per 1,000 pages processed

Custom classifier

$5USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Classify documents with a custom classifier built from your own documents and classes.

  • Few-shot learning and fine-tuning
  • Iterative auto-labeling for corrections
  • Billed per 1,000 pages processed

Summarizer

$25USD / per 1,000 pages, 1โ€“1,000,000 pages per month

Summarize large documents with a generative AI-powered solution, billed per 1,000 pages.

  • Generative AI-powered summarization
  • Billed per 1,000 pages processed

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