Universal Data Format Converter

Create an AI-assisted tool that converts data between formats (CSV, JSON, XML, YAML, SQL, Parquet schema). The AI infers schema, handles nested structures, and suggests optimal target formats based on the data shape.

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etldata-conversionschemafile-formats

Objectives

Support input parsing for CSV, JSON, XML, and YAML formats
Use AI to infer schema and data types from the source data
Convert between all supported formats with proper structure mapping
Handle nested and hierarchical data when flattening or nesting
Suggest the optimal target format based on data characteristics

Hints

Use existing parsers (PapaParse, fast-xml-parser, js-yaml) for each format
For nested JSON to flat CSV, implement dot-notation column naming
Let the AI generate SQL CREATE TABLE statements from inferred schema

Resources

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