Amazon Textract

Amazon Textract ID Analysis API

Operations for analyzing identity documents.

Documentation GitHub OpenAPI

Operations 1

POST /#AnalyzeID Amazon Textract Analyze ID #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Amazon Textract Async Operations ID Analysis API
  description: Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from scanned documents, going beyond simple OCR to identify and extract data from forms and tables.
  version: '2018-06-27'
  contact:
    name: Kin Lane
    email: kin@apievangelist.com
    url: https://aws.amazon.com/textract/
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: https://textract.amazonaws.com
  description: Amazon Textract API endpoint
tags:
- name: ID Analysis
  description: Operations for analyzing identity documents.
paths:
  /#AnalyzeID:
    post:
      operationId: AnalyzeID
      summary: Amazon Textract Analyze ID
      description: Analyzes identity documents for relevant information including name, address, and date of birth from passports and driver's licenses.
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              properties:
                DocumentPages:
                  type: array
                  description: The document pages to analyze.
                  items:
                    type: object
                    properties:
                      Bytes:
                        type: string
                        format: byte
                      S3Object:
                        type: object
                        properties:
                          Bucket:
                            type: string
                          Name:
                            type: string
              required:
              - DocumentPages
      responses:
        '200':
          description: ID analysis results.
          content:
            application/json:
              schema:
                type: object
                properties:
                  IdentityDocuments:
                    type: array
                    items:
                      type: object
                      properties:
                        DocumentIndex:
                          type: integer
                        IdentityDocumentFields:
                          type: array
                          items:
                            type: object
                            properties:
                              Type:
                                type: object
                              ValueDetection:
                                type: object
                  DocumentMetadata:
                    type: object
      tags:
      - ID Analysis
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK