Try Gemini 1.5 models
, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models
, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Export documents
Caution
: Document AI Warehouse is deprecated and will no longer be available on Google Cloud
after January 16, 2025. To safeguard your data, migrate any documents currently saved in Document AI Warehouse to an alternative like Cloud Storage.
Verify that your data migration is completed before the discontinuation date to prevent any data loss. See Deprecations
for details.
Preview
This feature is
subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific
Terms
.
Pre-GA features are available "as is" and might have limited support.
For more information, see the launch stage descriptions
.
Note: You can report suspected abuse of the service or any generated output that contains inappropriate material or inaccurate information through this form
.
This document describes how to export documents from Document AI Warehouse to
Cloud Storage and to a dataset of a custom document extractor (CDE)
in Document AI Workbench.
Export documents
Do the following to export documents.
Open documents page
.
Select one or more documents from the table, then click Export .
Fill in Folder path in Cloud Storage as the export destination.
Select Export settings and choose an option:
Select Export documents only to only export documents to
Cloud Storage Select Export to Document AI Processor to also export documents to a
dataset of custom document extractor (CDE)
in Document AI Workbench.
Optional: Select Document AI Workbench Processor and Data split .
Click Export , then you can find the exporting progress details on the Job detail page.
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. For details, see the Google Developers Site Policies
. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-10-29 UTC.
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