Data Processing
Transform and process data in your workflow automation with comprehensive JSON manipulation, CSV parsing and generation, text operations, string formatting, and mathematical computations. Parse, validate, transform, and merge data from multiple sources. Filter, sort, aggregate, and reshape datasets. Perform data cleansing, normalization, and enrichment. Build pipelines that handle complex data transformations and prepare data for analytics, machine learning, or storage.
JSON Extract String
Extract a string value from a JSON object using JSONPath
JSON Extract Object
Extract a JSON value from a JSON object using JSONPath
JSON Merge
Merge multiple JSON objects
JSON Template
Create a JSON object using a template with variable injection using ${variableName} syntax
JSON Flatten
Flatten nested JSON structure into a flat object with dot notation
CSV Parse
Parse a CSV string into a Table with schema and data
CSV Stringify
Convert a Table with schema and data into a CSV string
CSV Extract Column
Extract all values from a specific column in a Table
CSV Filter Rows
Filter rows in a Table based on a column value condition
Regex Extract
Extract all matches of a regular expression pattern from a string.
Regex Replace
Replace all matches of a regular expression pattern in a string.
Regex Match
Test if a string matches a regular expression pattern.
String Concat
Concatenate multiple strings together
Calculator
Evaluates mathematical expressions with support for arithmetic, functions, and constants.