ComfyUI Node: Extracts something from text

Extracts something from text:

The LF_Extractor node is designed to extract specific segments of text from a larger body of text based on defined delimiters. This node is particularly useful for isolating and converting text segments into various data types such as JSON, integers, floats, and booleans. By specifying starting and ending delimiters, you can precisely target the text you need, making it easier to manipulate and analyze. This node is ideal for tasks that require parsing and transforming text data into structured formats, enhancing the efficiency and accuracy of your text processing workflows.

Extracts something from text Input Parameters:

text

This parameter represents the input text from which segments will be extracted. It is the main body of text that you want to parse and analyze. The content of this text will be processed based on the specified delimiters to isolate the desired segments.

starting_delimiter

This parameter defines the character(s) that mark the beginning of the text segment you want to extract. It helps the node identify where to start the extraction process. The choice of delimiter can significantly impact the accuracy of the extraction, so it should be chosen carefully based on the structure of your input text.

ending_delimiter

This parameter specifies the character(s) that indicate the end of the text segment to be extracted. It works in conjunction with the starting delimiter to precisely define the boundaries of the text segment. Proper selection of the ending delimiter ensures that the extracted text is accurate and complete.

node_id

This is a unique identifier for the node instance. It is used internally to track and manage the node's operations and interactions with other components. This parameter is typically auto-generated and does not require manual input.

Extracts something from text Output Parameters:

result_as_json

This output provides the extracted text segment converted into a JSON format. This is useful for further processing or integration with systems that require JSON input.

extracted_text

This output returns the raw text segment that was extracted based on the specified delimiters. It is the unprocessed text that can be used for various purposes, such as display or further manipulation.

result_as_int

This output converts the extracted text segment into an integer, if possible. This is useful for numerical computations or when the extracted text represents a numeric value.

result_as_float

This output converts the extracted text segment into a float, if possible. It is beneficial for tasks that require floating-point arithmetic or when the extracted text represents a decimal number.

result_as_boolean

This output converts the extracted text segment into a boolean value, if possible. This is useful for logical operations or when the extracted text represents a true/false condition.

Extracts something from text Usage Tips:

• Ensure that the starting and ending delimiters are unique and do not appear elsewhere in the text to avoid incorrect extraction.
• Use the result_as_json output when you need to integrate the extracted text with systems that require JSON input.
• Verify the extracted text before converting it to other data types to ensure it is in the expected format.

Extracts something from text Common Errors and Solutions:

"Delimiter not found"

• Explanation: This error occurs when the specified starting or ending delimiter is not found in the input text.
• Solution: Check the input text and ensure that the delimiters are correctly specified and present in the text.

"Invalid conversion to integer"

• Explanation: This error occurs when the extracted text cannot be converted to an integer.
• Solution: Verify that the extracted text is a valid integer and does not contain any non-numeric characters.

"Invalid conversion to float"

• Explanation: This error occurs when the extracted text cannot be converted to a float.
• Solution: Ensure that the extracted text is a valid floating-point number and follows the correct format.

"Invalid conversion to boolean"

• Explanation: This error occurs when the extracted text cannot be converted to a boolean value.
• Solution: Check that the extracted text represents a valid boolean value, such as "true" or "false".