_get_storage_client(module:typing.Optional[str]=None,)->google.cloud.storage.client.Client

create_batches(gcs_bucket_name:str,gcs_prefix:str,batch_size:int=1000)->typing.List[google.cloud.documentai_v1.types.document_io.BatchDocumentsInputConfig]

create_gcs_uri(gcs_bucket_name:str,gcs_prefix:str)->str

get_blob(gcs_uri:str,module:typing.Optional[str]="get-bytes")->google.cloud.storage.blob.Blob

get_blobs(gcs_uri:typing.Optional[str]=None,gcs_bucket_name:typing.Optional[str]=None,gcs_prefix:typing.Optional[str]="/",module:typing.Optional[str]="get-bytes",)->typing.List[google.cloud.storage.blob.Blob]

get_bytes(gcs_bucket_name:str,gcs_prefix:str)->typing.List[bytes]

list_gcs_document_tree(gcs_bucket_name:str,gcs_prefix:str)->typing.Dict[str,typing.List[str]]

print_gcs_document_tree(gcs_bucket_name:str,gcs_prefix:str,files_to_display:int=4)->None

split_gcs_uri(gcs_uri:str)->typing.Tuple[str,str]

upload_file(gcs_output_directory:str,file_name:str,file_content:str,content_type:str="application/json",module:typing.Optional[str]="upload-file",)->None

_apply_text_offset(documentai_object:typing.Union[typing.Dict[str,typing.Dict],typing.List],text_offset:int,)->None

_bigquery_column_name(input_string:str)->str

_dict_to_bigquery(dic:typing.Dict[str,typing.Union[str,typing.List[str]]],dataset_name:str,table_name:str,project_id:typing.Optional[str],)->google.cloud.bigquery.job.load.LoadJob

_entities_from_shards(shards:typing.List[google.cloud.documentai_v1.types.document.Document],)->typing.List[google.cloud.documentai_toolbox.wrappers.entity.Entity]

_get_batch_process_metadata(operation_name:str,location:typing.Optional[str]=None,timeout:typing.Optional[float]=None,)->google.cloud.documentai_v1.types.document_processor_service.BatchProcessMetadata

_get_shards(gcs_bucket_name:str,gcs_prefix:str)->typing.List[google.cloud.documentai_v1.types.document.Document]

_insert_into_dictionary_with_list(dic:typing.Dict[str,typing.Union[str,typing.List[str]]],key:str,value:str)->typing.Dict[str,typing.Union[str,typing.List[str]]]

_pages_from_shards(shards:typing.List[google.cloud.documentai_v1.types.document.Document],)->typing.List[google.cloud.documentai_toolbox.wrappers.page.Page]

_get_hocr_bounding_box(element_with_layout:typing.Union[google.cloud.documentai_v1.types.document.Document.Page.Paragraph,google.cloud.documentai_v1.types.document.Document.Page,google.cloud.documentai_v1.types.document.Document.Page.Token,google.cloud.documentai_v1.types.document.Document.Page.Block,google.cloud.documentai_v1.types.document.Document.Page.Symbol,],page_dimension:google.cloud.documentai_v1.types.document.Document.Page.Dimension,)->typing.Optional[str]

_text_from_layout(layout:google.cloud.documentai_v1.types.document.Document.Page.Layout,text:str)->str

_trim_text(text:str)->str

convert_document_to_annotate_file_json_response()->str

convert_document_to_annotate_file_response()->(google.cloud.vision_v1.types.image_annotator.AnnotateFileResponse)

entities_to_bigquery(dataset_name:str,table_name:str,project_id:typing.Optional[str]=None)->google.cloud.bigquery.job.load.LoadJob

entities_to_dict()->typing.Dict[str,typing.Union[str,typing.List[str]]]

export_hocr_str(title:str)->str

export_images(output_path:str,output_file_prefix:str,output_file_extension:str)->typing.List[str]

form_fields_to_bigquery(dataset_name:str,table_name:str,project_id:typing.Optional[str]=None)->google.cloud.bigquery.job.load.LoadJob

form_fields_to_dict()->typing.Dict[str,typing.Union[str,typing.List[str]]]

from_batch_process_metadata(metadata:google.cloud.documentai_v1.types.document_processor_service.BatchProcessMetadata,)->typing.List[google.cloud.documentai_toolbox.wrappers.document.Document]

from_batch_process_operation(location:str,operation_name:str,timeout:typing.Optional[float]=None)->typing.List[google.cloud.documentai_toolbox.wrappers.document.Document]

from_document_path(document_path:str,)->google.cloud.documentai_toolbox.wrappers.document.Document

from_documentai_document(documentai_document:google.cloud.documentai_v1.types.document.Document,)->google.cloud.documentai_toolbox.wrappers.document.Document

from_gcs(gcs_bucket_name:str,gcs_prefix:str,gcs_input_uri:typing.Optional[str]=None)->google.cloud.documentai_toolbox.wrappers.document.Document

from_gcs_uri(gcs_uri:str,gcs_input_uri:typing.Optional[str]=None)->google.cloud.documentai_toolbox.wrappers.document.Document

get_entity_by_type(target_type:str,)->typing.List[google.cloud.documentai_toolbox.wrappers.entity.Entity]

get_form_field_by_name(target_field:str,)->typing.List[google.cloud.documentai_toolbox.wrappers.page.FormField]

search_pages(target_string:typing.Optional[str]=None,pattern:typing.Optional[str]=None)->typing.List[google.cloud.documentai_toolbox.wrappers.page.Page]

split_pdf(pdf_path:str,output_path:str)->typing.List[str]

to_merged_documentai_document()->(google.cloud.documentai_v1.types.document.Document)

crop_image(documentai_page:google.cloud.documentai_v1.types.document.Document.Page,)->typing.Optional[PIL.Image.Image]

_get_elements(element_type:typing.Type,attribute_name:str)->typing.List

_extract_table_rows(table_rows:typing.Iterable[google.cloud.documentai_v1.types.document.Document.Page.Table.TableRow],)->typing.List[typing.List[str]]

to_dataframe()->pandas.core.frame.DataFrame

_get_children_of_element(potential_children:typing.List[google.cloud.documentai_toolbox.wrappers.page._BasePageElement],)->typing.List[google.cloud.documentai_toolbox.wrappers.page._BasePageElement]