Document AI
Document AI, parse, and process documents at scale
Document AI lets developers create high-accuracy processors to extract unstructured or structured data from documents, classify, and split documents, automating tedious tasks.
Features
Custom extractor
Custom extractor provides an easy way to extract structured data from documents. Custom extractor is powered by generative AI, which means it can be used out of the box to get accurate results across a wide array of documents. Furthermore, you can achieve higher accuracy by providing as few as 10 documents to fine-tune the large model—all with a simple click of a button or an API call.
Custom splitter
Custom splitter is designed to split composite documents (documents made up of multiple classes) into a number of single class documents by identifying each logical document. For example, a mortgage package contains multiple classes within it such as application, income verification, and photo ID. Custom splitter processors can be used out of the box, or trained from the ground up using your own documents and custom classes.
Custom classifier
Use custom classifier to classify documents. Build it from the ground up with your own documents and custom classes. Its generative AI aspect allows few-shot learning and fine-tuning. These improve accuracy with fewer samples and corrections with iterative auto-labeling.
OCR parser
You can use Enterprise Document OCR as part of Document AI to detect and extract text and layout information from various documents. With configurable features, you can tailor the system to meet specific document-processing requirements.
Automated document data extraction
Use custom extractor to gather structured data
Use custom extractor to gather structured data
Use Document AI Workbench to automate data entry by extracting structured data from your documents. Typical applications include the mail room, shipping yards, mortgage processing divisions, procurement, and more. Use this data to make more efficient and effective business decisions.
Tutorials, Kurzanleitungen und Labs
Use custom extractor to gather structured data
Use custom extractor to gather structured data
Use Document AI Workbench to automate data entry by extracting structured data from your documents. Typical applications include the mail room, shipping yards, mortgage processing divisions, procurement, and more. Use this data to make more efficient and effective business decisions.
Find insights in documents with BigQuery
Tutorials, Kurzanleitungen und Labs
Digitize text for ML model training
Extract value from archives with Enterprise Document OCR
Extract value from archives with Enterprise Document OCR
Enterprise Document OCR enables users to create value from archival content that is otherwise unusable for AI and ML training. OCR extracts text from scanned documents, plots, reports, and presentations prior to saving on a cloud storage or a data warehouse. Use these high-quality OCR outputs to boost your digital transformation initiatives such as training ML models specific to your business.
Tutorials, Kurzanleitungen und Labs
Extract value from archives with Enterprise Document OCR
Extract value from archives with Enterprise Document OCR
Enterprise Document OCR enables users to create value from archival content that is otherwise unusable for AI and ML training. OCR extracts text from scanned documents, plots, reports, and presentations prior to saving on a cloud storage or a data warehouse. Use these high-quality OCR outputs to boost your digital transformation initiatives such as training ML models specific to your business.
Preise
| How Document AI pricing works | Cost is based on number of processed pages per month, the relevant quota, and any purchased capacity reservation. | |
|---|---|---|
| Category | Parser | Price |
Digitize text | Enterprise Document OCR processor | $1.50 per 1,000 pages 1 - 5,000,000 pages per month |
OCR add ons | $6 per 1,000 pages 1 - 5,000,000 pages per month | |
Extract structures and entities from documents | Custom extractor | $30 per 1,000 pages 1 - 1,000,000 pages per month |
Form parser | $30 per 1,000 pages 1 - 1,000,000 pages per month | |
Layout Parser (Includes initial chunking) | $10 per 1,000 pages 1 - 1,000,000 pages per month | |
Classify documents | Custom splitter | $5 per 1,000 pages 1 - 1,000,000 pages per month |
Custom classifier | $5 per 1,000 pages 1 - 1,000,000 pages per month | |
Summarizer | $25 per 1,000 pages 1 - 1,000,000 pages per month | |
Learn more about Document AI pricing. View all pricing details.
How Document AI pricing works
Cost is based on number of processed pages per month, the relevant quota, and any purchased capacity reservation.
Digitize text
Enterprise Document OCR processor
$1.50 per 1,000 pages
1 - 5,000,000 pages per month
OCR add ons
$6 per 1,000 pages
1 - 5,000,000 pages per month
Extract structures and entities from documents
Custom extractor
$30 per 1,000 pages
1 - 1,000,000 pages per month
Form parser
$30 per 1,000 pages
1 - 1,000,000 pages per month
Layout Parser (Includes initial chunking)
$10 per 1,000 pages
1 - 1,000,000 pages per month
Classify documents
Custom splitter
$5 per 1,000 pages
1 - 1,000,000 pages per month
Custom classifier
$5 per 1,000 pages
1 - 1,000,000 pages per month
Summarizer
$25 per 1,000 pages
1 - 1,000,000 pages per month
Learn more about Document AI pricing. View all pricing details.
Partner und Integration
Document AI partners
Get help implementing Document AI from these trusted partners. View full partner directory.
FAQs
How do we differentiate?
Generative AI - we provide simple access to powerful foundation models that help our customers create parsers to extract documents with a simple journey and in minutes. This solves two pain points: users do not need to label or prepare datasets for their custom models, and users do not need to worry about specifics like converting document types, choosing models, few shot samples, or chunking.
In what regions is Document AI available?
While Document AI products support many regions and multi-regions, it is offered with varying functionally by region. You can also view the list of processors in more detail.
How do I monitor performance?
Precision, recall, F1 score, and more for each parser can be monitored directly from the Google Cloud Console, with a specific user interface to visualize loads and performance. You can learn more in the evaluate page.
Can I increase pages processed or reserve processing capacity?
Yes, you can increase the quota for a project, increasing the number of pages processed per minute.
You can also make capacity reservation requests for periods of high volume traffic.
