📃Data Types

The Docflo Data Types below represent different types of fields that you can use both when consuming Docflo API through Integrations, or within your Automations. When working with Docflo Fields, you will alway have:

• type property for each field, that matches one of data types below
• value that holds relevant field data, in relevant format per table below
• confidence - a double / float from 0 to 1 representing extraction confidence. The higher - the better!

In addition to fields above there are additional fields you can use, but they are not guaranteed for all cases, use with caution:

• content of value that was parsed, always coming as string. Appears for most of the field types
• changedOn - A string including ISO date of a timestamp the value was changed (if updated by user)
• changedBy - A string with changing user's full name

Data Types supported

Data Type	Description
string	Text-based data, including any alphanumeric characters and special characters
boolean	Boolean true/false values for yes/no states
number	Numeric values including integers and decimal numbers
currency	Monetary values with currency formatting and symbols, included withing a JSON object with 'amount' and 'currencyCode'
date	A string representation of a date in YYYY-MM-DD format
object	Structured data containing key-value pairs or nested properties
array	Ordered collection of objects
address	Formatted address fields with standardized structure
prompt	String (result) value of prompt execution. Can include MD format and other stuff, depending on what you asked for within the prompt.
country	Country field, containing a JSON structure with countryCodes or names
list	Static enumerated list with predefined options, each entry containing 'key' and 'value'
dynamic_list	List with options that can change based on conditions or external data sources

Data Type Examples

Below are practical examples of each data type as they appear in Docflo API responses:

string

Simple text values extracted from documents.

{
  "type": "string",
  "content": "110820567",
  "confidence": 0.942,
  "value": "110820567"
}

boolean

True/false values for approval states or yes/no conditions.

{
  "type": "boolean",
  "value": true,
  "changedOn": "2025-12-30T07:41:44.785Z",
  "changedBy": "Ivan Tagiltsev"
}

number

Numeric values including integers and decimals.

{
  "type": "number",
  "content": "2.00",
  "confidence": 0.935,
  "value": 2
}

currency

Monetary values with structured amount and currency information.

{
  "type": "currency",
  "content": "52,133.00",
  "confidence": 0.868,
  "value": {
    "amount": 52133,
    "currencyCode": "ILS"
  }
}

date

Date values in standardized YYYY-MM-DD format.

{
  "type": "date",
  "content": "29.02.24",
  "confidence": 0.939,
  "value": "2024-02-29"
}

object

Structured data with nested properties, commonly used for complex items.

{
  "type": "object",
  "confidence": 0.844,
  "value": {
    "Amount": {
      "type": "currency",
      "value": {
        "amount": 60,
        "currencyCode": "ILS"
      }
    },
    "Description": {
      "type": "string",
      "value": "אבן חרמש עגול"
    },
    "Quantity": {
      "type": "number",
      "value": 2
    }
  }
}

array

Ordered collections of objects, typically used for line items or multiple entries.

{
  "type": "array",
  "value": [
    {
      "type": "object",
      "value": {
        "Amount": {
          "type": "currency",
          "value": {
            "amount": 60,
            "currencyCode": "ILS"
          }
        },
        "Description": {
          "type": "string",
          "value": "אבן חרמש עגול"
        }
      },
      "index": 0,
      "_id": "f8454b63-07c5-47f2-9458-ada30afe4d99"
    },
    {
      "type": "object",
      "value": {
        "Amount": {
          "type": "currency",
          "value": {
            "amount": -600,
            "currencyCode": "ILS"
          }
        },
        "Description": {
          "type": "string",
          "value": "Something"
        }
      },
      "index": 1,
      "_id": "c134bba3-f396-4166-b9ac-41d14aa55628"
    }
  ]
}

address

Structured address information with standardized components.

{
  "type": "address",
  "content": "Some street 123, New Jersey, NY 15165, USA",
  "confidence": 0.878,
  "value": {
    "postalCode": "15165",
    "city": "New Jersey",
    "streetAddress": "Some street",
    "house": "123"
  }
}

prompt

AI-generated content based on document analysis.

{
  "type": "prompt",
  "confidence": 1,
  "value": "The document appears to be a detailed invoice from a company named \"Whatever\", which seems to be involved in agricultural supplies. The document includes multiple transactions with specific dates, item descriptions, quantities, prices, and associated taxes (VAT)."
}

country

Country information with standardized codes and names.

{
  "type": "string",
  "confidence": 0,
  "value": {
    "countryName": "Albania",
    "countryCode": "AL"
  },
  "changedOn": "2025-12-30T07:40:15.193Z",
  "changedBy": "Ivan Tagiltsev"
}

list

Static enumerated options with predefined key-value pairs.

{
  "type": "string",
  "confidence": 0,
  "value": {
    "key": "1010",
    "value": "Some Company- DE"
  },
  "changedOn": "2025-12-30T07:40:15.193Z",
  "changedBy": "Ivan Tagiltsev"
}

dynamic_list

Lists with options that can change based on external data sources.

{
  "type": "string",
  "confidence": 0,
  "value": {
    "key": "1000014",
    "value": "AOG COURIERS"
  },
  "changedOn": "2025-12-30T07:40:15.193Z",
  "changedBy": "Ivan Tagiltsev"
}