Custom OCR

OCR Custom Text Extraction API

This custom text extraction API is a Datasaur feature which allows creating a custom OCR project using your own text extraction API.

Request from Datasaur

POST https://custom-text-extractor.com/text-extraction/example

Request headers
Accept	application/json, text/plain

Form Data Parameters
upload	Your document file (e.g.: receipt.jpg)

Expected API Response

Datasaur can process the response differently based on the Content-Type header returned from the API response.

Text response (Content-Type: text/plain)

SHIHLIN TAIWAN
STREET SNACKS
Grand Galaxy Park
DATE 26/02/20 15:53
CASHIER: Reny
No. Customer: 1

JSON response (Content-Type: application/json)

Datasaur uses Importable format to process the API response.

{
  "cells": [
    {
      "content": "SHIHLIN TAIWAN",
      "index": 0,
      "line": 0,
      "metadata": [],
      "tokens": [
        "SHIHLIN",
        "TAIWAN"
      ]
    },
    {
      "content": "STREET SNACKS",
      "index": 0,
      "line": 1,
      "metadata": [],
      "tokens": [
        "STREET",
        "SNACKS"
      ]
    }
  ],
  "labelSets": [],
  "labels": [
    {
      "startCellLine": 0,
      "startCellIndex": 0,
      "startTokenIndex": 0,
      "startCharIndex": 0,
      "endCellLine": 0,
      "endCellIndex": 0,
      "endTokenIndex": 0,
      "endCharIndex": 6,
      "layer": 0,
      "counter": 0,
      "pageIndex": 0,
      "type": "BOUNDING_BOX",
      "nodeCount": 4,
      "x0": 130,
      "y0": 154,
      "x1": 255,
      "y1": 154,
      "x2": 255,
      "y2": 186,
      "x3": 130,
      "y3": 186
    },
    {
      "startCellLine": 0,
      "startCellIndex": 0,
      "startTokenIndex": 1,
      "startCharIndex": 0,
      "endCellLine": 0,
      "endCellIndex": 0,
      "endTokenIndex": 1,
      "endCharIndex": 5,
      "layer": 0,
      "counter": 0,
      "pageIndex": 0,
      "type": "BOUNDING_BOX",
      "nodeCount": 4,
      "x0": 261,
      "y0": 154,
      "x1": 375,
      "y1": 154,
      "x2": 375,
      "y2": 186,
      "x3": 261,
      "y3": 186
    }
  ],
  "name": "receipt.jpg",
  "pages": [
    {
      "pageIndex": 0,
      "pageHeight": 619,
      "pageWidth": 551
    }
  ],
  "type": "BOUNDING_BOX"
}

Apply custom API

• Upload the PDF or images through Project Creation Wizard

• In Step 2,

  • Select +Add new API... as the OCR method

    
  • Put your API name, API URL, and the secret

    
  • After clicking Save, the custom API will be saved to the list, and you can choose it as the OCR method

• Create a label set, assign labelers as appropriate, then launch the project

• The interface will appear side-by-side with the PDF on the left and the transcription on the right

  

ASR Custom Text Extraction API

This custom text extraction API is a Datasaur feature which allows creating a custom Audio project using your own text extraction API.

Request from Datasaur

POST https://custom-text-extractor.com/text-extraction/example

Request headers
Accept	application/json, text/plain

Form Data Parameters
upload	Your document file (e.g.: audio2.flac)

Expected API Response

Datasaur can process the response differently based on the Content-Type header returned from the API response.

Text response (Content-Type: text/plain)

A quick brown fox jumps over a lazy dog
Speaker 2: A quick brown fox jumps over a lazy dog
Speaker 1: A quick brown fox jumps over a lazy dog
Speaker 2: A quick brown fox jumps over a lazy dog
Speaker 1: A quick brown fox jumps over a lazy dog

JSON response (Content-Type: application/json)

Datasaur uses Importable format to process the API response.

{
  "cells": [
    {
      "content": "SHIHLIN TAIWAN",
      "index": 0,
      "line": 0,
      "metadata": [],
      "tokens": ["SHIHLIN", "TAIWAN"]
    },
    {
      "content": "STREET SNACKS",
      "index": 0,
      "line": 1,
      "metadata": [],
      "tokens": ["STREET", "SNACKS"]
    }
  ],
  "labelSets": [],
  "labels": [
    {
      "id": 1,
      "startCellLine": 0,
      "startCellIndex": 0,
      "startTokenIndex": 0,
      "startCharIndex": 0,
      "endCellLine": 0,
      "endCellIndex": 0,
      "endTokenIndex": 1,
      "endCharIndex": 5,
      "layer": 0,
      "counter": 0,
      "startTimestampMillis": 1375,
      "endTimestampMillis": 4250,
      "type": "TIMESTAMP"
    },
    {
      "id": 2,
      "startCellLine": 1,
      "startCellIndex": 0,
      "startTokenIndex": 0,
      "startCharIndex": 0,
      "endCellLine": 1,
      "endCellIndex": 0,
      "endTokenIndex": 1,
      "endCharIndex": 5,
      "layer": 0,
      "counter": 0,
      "startTimestampMillis": 4437,
      "endTimestampMillis": 8218,
      "type": "TIMESTAMP"
    }
  ],
  "name": "ASR API Response Sample",
  "type": "TIMESTAMP"
}

Apply custom API

• Upload the audio files through Project Creation Wizard

• In Step 2,

  • Select +Add new API... as the ASR method

    
  • Put your API name, API URL, and the secret

    
  • After clicking Save, the custom API will be saved to the list, and you can choose it as the ASR method

• Create a label set, assign labelers as appropriate, then launch the project

• The interface will appear like the screenshot below, with the audio on the top and the transcription on the bottom

  

Custom API capabilities are only supported in team workspaces. If you would like access, please email us at [e-mail].