cloudmersive-documentai-api-client 3.0.1

Document AI API

cloudmersive_documentai_api_client

Use next-generation AI to extract data, fields, insights and text from documents. Instantly.

This Python package provides a native API client for Cloudmersive CDR API

• API version: v1
• Package version: 3.0.1
• Build package: io.swagger.codegen.languages.PythonClientCodegen

Requirements.

Python 2.7 and 3.4+

Installation & Usage

pip install

If the python package is hosted on Github, you can install directly from Github

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import cloudmersive_documentai_api_client 

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import cloudmersive_documentai_api_client

Getting Started

Please follow the installation procedure and then run the following:

from __future__ import print_function
import time
import cloudmersive_documentai_api_client
from cloudmersive_documentai_api_client.rest import ApiException
from pprint import pprint

# Configure API key authorization: Apikey
configuration = cloudmersive_documentai_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'

# create an instance of the API class
api_instance = cloudmersive_documentai_api_client.AnalyzeApi(cloudmersive_documentai_api_client.ApiClient(configuration))
body = cloudmersive_documentai_api_client.DocumentPolicyRequest() # DocumentPolicyRequest | Input request, including document and policy rules (optional)

try:
    # Enforce Policies to a Document to allow or block it using Advanced AI
    api_response = api_instance.apply_rules(body=body)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling AnalyzeApi->apply_rules: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to https://localhost

Class	Method	HTTP request	Description
AnalyzeApi	apply_rules	POST /document-ai/document/analyze/enforce-policy	Enforce Policies to a Document to allow or block it using Advanced AI
ExtractApi	extract_all_fields_and_tables	POST /document-ai/document/extract/all	Extract All Fields and Tables of Data from a Document using AI
ExtractApi	extract_barcodes	POST /document-ai/document/extract/barcodes	Extract Barcodes of from a Document using AI
ExtractApi	extract_classification	POST /document-ai/document/extract/classify	Extract Classification or Category from a Document using AI
ExtractApi	extract_classification_advanced	POST /document-ai/document/extract/classify/advanced	Extract Classification or Category from a Document using Advanced AI
ExtractApi	extract_fields	POST /document-ai/document/extract/fields	Extract Field Values from a Document using AI
ExtractApi	extract_fields_advanced	POST /document-ai/document/extract/fields/advanced	Extract Field Values from a Document using Advanced AI
ExtractApi	extract_summary	POST /document-ai/document/extract/summary	Extract Summary from a Document using AI
ExtractApi	extract_tables	POST /document-ai/document/extract/tables	Extract Tables of Data from a Document using AI
ExtractApi	extract_text	POST /document-ai/document/extract/text	Extract Text from a Document using AI
RunBatchJobApi	extract_all_fields_and_tables_from_document_batch_job	POST /document-ai/document/batch-job/extract/all	Extract All Fields and Tables of Data from a Document using AI as a Batch Job
RunBatchJobApi	extract_classification_from_document_batch_job	POST /document-ai/document/batch-job/extract/classify	Extract Classification or Category from a Document using AI as a Batch Job
RunBatchJobApi	extract_fields_from_document_advanced_batch_job	POST /document-ai/document/batch-job/extract/fields/advanced	Extract Field Values from a Document using Advanced AI as a Batch Job
RunBatchJobApi	extract_text_from_document_batch_job	POST /document-ai/document/batch-job/extract/text	Extract Text from a Document using AI as a Batch Job
RunBatchJobApi	get_async_job_status	GET /document-ai/document/batch-job/batch-job/status	Get the status and result of an Extract Document Batch Job

Documentation For Models

• AdvancedExtractClassificationRequest
• AdvancedExtractFieldsRequest
• DocumentAdvancedClassificationResult
• DocumentCategories
• DocumentClassificationResult
• DocumentPolicyRequest
• DocumentPolicyResult
• ExtractBarcodesAiResponse
• ExtractDocumentBatchJobResult
• ExtractDocumentJobStatusResult
• ExtractFieldsAndTablesResponse
• ExtractFieldsResponse
• ExtractTablesResponse
• ExtractTextResponse
• ExtractedBarcodeItem
• ExtractedTextPage
• FieldToExtract
• FieldValue
• PolicyRule
• PolicyRuleViolation
• SummarizeDocumentResponse
• TableResult
• TableResultCell
• TableResultRow

Documentation For Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header

Author