Definition and Usage
Extract structured data from unstructured text using AI. This command leverages language models to analyze and convert free-form text into structured, usable data formats.
Parameter Values
Input parameters
Parameter | Description | Possible Values | Required | Options / Notes |
LLM model | Select the language model that best suits your scenario | DeepSeek (64K) | Yes | Different models may have varying capabilities and costs |
Text content | Enter the unstructured text to be parsed | Any text content | Yes | Can use variable inputs from previous steps |
Error handling
Parameter Name | Description |
Throw error & stop | When an error occurs, the action will trigger an error and stop the execution of the entire app. |
Retry command | If an error occurs, the action will retry the command in an attempt to resolve the issue and continue the process. |
Ignore error & continue | When an error occurs, the action will be ignored, and the workflow will continue without interruption. |
Variables produced
The parsed data is stored in a new variable that can be used in subsequent steps of the workflow.
Using Variables in Conditions
You can use variables by clicking the {x} icon in parameter fields. This allows you to insert previously defined variables into the text content parameter or to dynamically set where the parsed data should be stored.
Variables can be particularly useful when processing multiple text inputs in a sequence or when the output needs to be used in conditional logic later in the workflow.
Notes
The quality of structured data extraction depends on the selected language model and the clarity of the input text
Consider the cost implications of using AI models for parsing large volumes of text
The output format may vary depending on the complexity and nature of the input text
For best results, provide clear context or specific instructions within your text content