JSON Converter

JSON as the Universal Wire Format

JSON is the data-interchange format that nearly every modern HTTP API speaks: REST endpoints, GraphQL responses, webhook payloads, message-queue bodies, NoSQL document stores, configuration files, browser localStorage, and the universal output of “export to JSON” on every dashboard and analytics tool. When the JSON shape is an array of comparable records, what consumers usually want is the row view — a CSV to open in Excel, an Excel file to share with a non-developer, a database INSERT to seed a table, or an XML / YAML to feed an older system that doesn't speak JSON.

What “Array of Objects” Means Here

The parser expects the top level to be an array, with each element a flat object whose keys are the field names. Records do not have to have the same key set — the union of keys across all records becomes the header list and missing keys become empty cells. Numbers and booleans are coerced to strings unless Force Text is set on the column. Nested objects and arrays inside a record are not flattened automatically; they are emitted as JSON strings in the cell so no structural information is lost. If your JSON has nested arrays you want flattened recursively, the dedicated JSON ↔ CSV Converter has explicit options for that.

When You Need a Real Pipeline

This tool handles one-off conversions. For recurring data flows — pulling daily API exports, syncing a JSON inbox folder, transforming webhook payloads on every event, or routing JSON between systems with schema validation — the work belongs in a scheduled job or event-driven worker. I build API integrations and ETL pipelines that handle authentication, retry, schema validation against JSON Schema, error notification, and clean delivery to a database, warehouse, or downstream system. Need help? Integration services · ETL and data pipelines. Have a question? Ask James.