Input Text

The Input Text node types text into form fields, text areas, and other editable elements.

Parameters

Parameter	Type	Required	Description
`text`	string	Yes	The text to type into the field
`execution`	string	Yes	Execution type: `STATIC` (UI: “Static”), `LLM_VISION` (UI: “AI (Screenshot)”), or `COORDINATES` (UI: “Coordinates”)
`selector`	string	No	XPath selector (for `STATIC`) or JSON coordinates (for `COORDINATES`)
`prompt`	string	No	Natural language description of the input field (for `LLM_VISION`)
`wait_time`	number	No	Maximum time (ms) to wait for the element. Default: 15000
`do_not_clear`	boolean	No	If true, append text without clearing existing content. Default: false
`submit_after_input`	boolean	No	If true, press Enter after typing. Default: false
`selector_error_message`	string	No	Custom error message if element is not found
`human_mode`	boolean	No	If true, use more human-like typing behavior

Examples

Basic Text Input

Type into a text field:

{
  "id": "abc123",
  "name": "Enter username",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "STATIC",
    "selector": "//input[@id='username']",
    "text": "john.doe@example.com"
  }
}

Using Input Variables

Type dynamic values from workflow inputs:

{
  "id": "abc123",
  "name": "Enter search query",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "STATIC",
    "selector": "//input[@name='search']",
    "text": "{{context.inputs.search_term}}"
  }
}

Submit After Input

Type and press Enter to submit:

{
  "id": "abc123",
  "name": "Search and submit",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "STATIC",
    "selector": "//input[@type='search']",
    "text": "{{context.inputs.query}}",
    "submit_after_input": true
  }
}

Append Text Without Clearing

Add text to existing content:

{
  "id": "abc123",
  "name": "Append notes",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "STATIC",
    "selector": "//textarea[@id='notes']",
    "text": " - Additional note added by automation",
    "do_not_clear": true
  }
}

Using LLM_VISION

Type into a field identified by AI:

{
  "id": "abc123",
  "name": "Enter email",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "LLM_VISION",
    "prompt": "The email input field in the registration form",
    "text": "{{context.inputs.email}}"
  }
}

Data Transformation

Transform data before typing using JSONata:

{
  "id": "abc123",
  "name": "Type formatted date",
  "action": "INPUT_TEXT",
  "parameters": {
    "execution": "STATIC",
    "selector": "//input[@id='date']",
    "text": "{{$fromMillis($toMillis(context.inputs.date, \"[Y0001]-[M01]-[D01]\"), \"[M01]/[D01]/[Y0001]\")}}"
  }
}

This converts a date from YYYY-MM-DD format to MM/DD/YYYY format.

Notes

By default, the input field is cleared before typing new text
Use do_not_clear: true when you need to append to existing content
The submit_after_input option is useful for search fields that trigger on Enter
You can use JSONata expressions for data transformation
For prepending text or custom handling of existing input content, first extract the current value using an ExtractDatamodel node, then combine it with your new text in the Input Text node (e.g., "{{context.inputs.prefix}}{{context.existing_value}}").

Getting Started

Concepts

API Reference

SDK

Integrations

Parameters

Examples

Basic Text Input

Using Input Variables

Submit After Input

Append Text Without Clearing

Using LLM_VISION

Data Transformation

Notes

​Parameters

​Examples

​Basic Text Input

​Using Input Variables

​Submit After Input

​Append Text Without Clearing

​Using LLM_VISION

​Data Transformation

​Notes

Parameters

Examples

Basic Text Input

Using Input Variables

Submit After Input

Append Text Without Clearing

Using LLM_VISION

Data Transformation

Notes