Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.
Stay organized with collections
Save and categorize content based on your preferences.
Normalization
For many specific supported fields, Document AI also returns an
entity.normalizedValue
in addition to the raw extracted field obtained through the textAnchor of each
entity. It normalize the literal text. Normalization often breaks the text value
up into sub-fields.
This contain the data in a standardized format to reduce post processing, and
enable conversion to whatever format is selected. The mentionText, representing
what is literally on the document, is never changed by normalization.
Normalized fields belong to one of the following categories.
Normalized values in the console
In the Google Cloud console, the normalized fields are annotated with G. For example:
Supported processors
Here are the processors and fields that support entity enrichment and normalization: