pub struct GoogleCloudDocumentaiV1beta2Document {Show 15 fields
pub chunked_document: Option<GoogleCloudDocumentaiV1beta2DocumentChunkedDocument>,
pub content: Option<Vec<u8>>,
pub document_layout: Option<GoogleCloudDocumentaiV1beta2DocumentDocumentLayout>,
pub entities: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentEntity>>,
pub entity_relations: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentEntityRelation>>,
pub error: Option<GoogleRpcStatus>,
pub labels: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentLabel>>,
pub mime_type: Option<String>,
pub pages: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentPage>>,
pub revisions: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentRevision>>,
pub shard_info: Option<GoogleCloudDocumentaiV1beta2DocumentShardInfo>,
pub text: Option<String>,
pub text_changes: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentTextChange>>,
pub text_styles: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentStyle>>,
pub uri: Option<String>,
}Expand description
Document represents the canonical document resource in Document AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document AI to iterate and optimize for quality.
§Activities
This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).
- documents process projects (response)
- locations documents process projects (response)
Fields§
§chunked_document: Option<GoogleCloudDocumentaiV1beta2DocumentChunkedDocument>Document chunked based on chunking config.
content: Option<Vec<u8>>Optional. Inline document content, represented as a stream of bytes. Note: As with all bytes fields, protobuffers use a pure binary representation, whereas JSON representations use base64.
document_layout: Option<GoogleCloudDocumentaiV1beta2DocumentDocumentLayout>Parsed layout of the document.
entities: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentEntity>>A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.
entity_relations: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentEntityRelation>>Placeholder. Relationship among Document.entities.
error: Option<GoogleRpcStatus>Any error that occurred while processing this document.
labels: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentLabel>>Labels for this document.
mime_type: Option<String>An IANA published media type (MIME type).
pages: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentPage>>Visual page layout for the Document.
revisions: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentRevision>>Placeholder. Revision history of this document.
shard_info: Option<GoogleCloudDocumentaiV1beta2DocumentShardInfo>Information about the sharding if this document is sharded part of a larger document. If the document is not sharded, this message is not specified.
text: Option<String>Optional. UTF-8 encoded text in reading order from the document.
text_changes: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentTextChange>>Placeholder. A list of text corrections made to Document.text. This is usually used for annotating corrections to OCR mistakes. Text changes for a given revision may not overlap with each other.
text_styles: Option<Vec<GoogleCloudDocumentaiV1beta2DocumentStyle>>Styles for the Document.text.
uri: Option<String>Optional. Currently supports Google Cloud Storage URI of the form gs://bucket_name/object_name. Object versioning is not supported. For more information, refer to Google Cloud Storage Request URIs.
Trait Implementations§
Source§impl Clone for GoogleCloudDocumentaiV1beta2Document
impl Clone for GoogleCloudDocumentaiV1beta2Document
Source§fn clone(&self) -> GoogleCloudDocumentaiV1beta2Document
fn clone(&self) -> GoogleCloudDocumentaiV1beta2Document
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read more