Create Processor
document_ai.create_processor
ActionGoogle Cloudconnection required
Calls documentai v1 POST /v1/projects/{projectsId}/locations/{locationsId}/processors.
Creates a processor from the ProcessorType provided.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google Document AI
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id, location, processor_id
- Resolved by
- config.connection_id, else node.connection_id
Configuration
2 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
location Location or region; taken from the connection when unset. | string | No | — | — | — |
body The GoogleCloudDocumentaiV1Processor resource, as the API defines it. | object | Yes | — | — | — |
Output
One shape.
result
Extra keys beyond the ones listed can appear.
| Field | Type | Example |
|---|---|---|
activeSchemaVersion | string | — |
createTime | string | — |
defaultProcessorVersion | string | — |
displayName | string | — |
kmsKeyName | string | — |
name | string | — |
processEndpoint | string | — |
processorVersionAliases | array | — |
satisfiesPzi | boolean | — |
satisfiesPzs | boolean | — |
state | string | — |
type | string | — |
{
"activeSchemaVersion": "",
"createTime": "",
"defaultProcessorVersion": "",
"displayName": "",
"kmsKeyName": "",
"name": "",
"processEndpoint": "",
"processorVersionAliases": [],
"satisfiesPzi": false,
"satisfiesPzs": false,
"state": "",
"type": ""
}Related Google Document AI nodes
Solutions with Google Document AI
See Create Processor run in a workflow.
In a technical demo we add the Google Document AI connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.