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.

Method: locations.fetchProcessorTypes

Full name: projects.locations.fetchProcessorTypes

Fetches processor types. Note that we don't use ListProcessorTypes here, because it isn't paginated.

HTTP request

GET https://{endpoint}/v1beta3/{parent}:fetchProcessorTypes

Where {endpoint} is one of the supported service endpoints.

Path parameters

Parameters

Parameters
`parent`	`string` Required. The location of processor types to list. Format: `projects/{project}/locations/{location}`. It takes the form `projects/{project}/locations/{location}`. Authorization requires the following IAM permission on the specified resource `parent`: `documentai.processorTypes.list`

parent

string

Required. The location of processor types to list. Format: projects/{project}/locations/{location}. It takes the form projects/{project}/locations/{location}.

Authorization requires the following IAM permission on the specified resource parent:

documentai.processorTypes.list

Request body

The request body must be empty.

Response body

Response message for the locations.fetchProcessorTypes method.

If successful, the response body contains data with the following structure:

JSON representation
{ "processorTypes": [ { object (`ProcessorType`) } ] }

Fields

Fields
`processorTypes[]`	`object (ProcessorType)` The list of processor types.

processorTypes[]

object (ProcessorType)

The list of processor types.

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the parent resource:

documentai.processorTypes.list

For more information, see the IAM documentation.