Choose Input Method
Upload or drop a .csv / .tsv / .txt file, or paste raw delimited spreadsheet text directly into the interactive editor.
Transform spreadsheets, TSV data, and CSV dumps into clean, modern JSON in milliseconds. Supports auto-delimiter detection, type inference, dot-key unflattening, and NDJSON with 100% in-browser privacy.
Convert CSV, TSV, or TXT documents to clean JSON with 100% in-browser privacy.
Intelligently recognizes commas, tabs (TSV), semicolons, and pipes without manual setup.
Automatically detects booleans, integers, floats, and nulls, or preserves raw strings.
Unflatten dot-notation headers into deep JSON objects, or output BigQuery-ready JSON Lines.
All data transformation runs inside your browser sandbox. Your database dumps never leave your device.
customer.name, customer.email, shipping.city). Our engine will automatically reconstruct clean, multi-level nested JSON objects! Parse and restructure tabular data into modern JSON payloads in seconds with zero software installations.
Upload or drop a .csv / .tsv / .txt file, or paste raw delimited spreadsheet text directly into the interactive editor.
Auto-detect or select delimiters (comma, tab, semicolon, pipe), enable automatic number & boolean inference, and toggle nested key unflattening.
Inspect your structured data in the interactive code viewer or table preview, copy JSON to clipboard, or download the clean .json / .ndjson file.
Spreadsheet programs like Excel and Google Sheets are the world's most common database. But modern web apps, APIs, mobile backends, and cloud databases run on JSON.
Standard regex splitters break when cells contain commas or quotes. Our parser fully implements the RFC 4180 specification.
Convert flat tabular exports into production-ready object trees with native JavaScript primitives and nested keys.
user.address.city)Choose the exact JSON structure required by your target system, from standard arrays to streaming JSON Lines.
Streamline workflows between non-technical business teams and engineering systems.
Turn client product spreadsheets and catalogs into JSON fixtures for Node.js, Python, or PostgreSQL seeders.
Export large CSV dumps into streaming NDJSON format for instant batch loading into Google BigQuery, Snowflake, or Elasticsearch.
Convert Shopify, WooCommerce, or Salesforce customer CSV exports into structured JSON payloads for custom webhooks.
Transform localization translations or configuration tables into JSON files used by frontend apps and build scripts.
Everything you need to know about parsing delimited files, data types, and JSON formatting.
The converter analyzes candidate delimiters (comma, semicolon, tab, and pipe) across your non-empty lines outside of quotation marks. It calculates frequency and row consistency to determine the correct format automatically.
Yes! Our engine is strictly compliant with the RFC 4180 specification. It accurately parses fields enclosed in quotes, escaped quotes (""), commas inside quotes, and multiline entries across row boundaries.
If your CSV headers use dot notation (like customer.name, shipping.city, or items.0.sku), our engine automatically reconstructs true nested JSON objects and arrays instead of leaving flat dotted property names.
You can export your data as a standard Array of Objects [ { ... } ], an Object Keyed by First Column { "ID": { ... } }, a compact 2D Matrix { headers, rows }, or NDJSON (Newline Delimited JSON) for big data databases.
Never. 100% of the parsing, conversion, and JSON generation runs locally inside your browser memory using client-side JavaScript. Your confidential records, employee salaries, and customer databases never touch any remote cloud infrastructure.
NDJSON outputs each record as a self-contained, single-line JSON string separated by newlines. It is the preferred format for streaming large datasets into cloud data warehouses like Google BigQuery, Amazon Athena, Elasticsearch, and MongoDB.
Transform JSON arrays and API responses into Excel-ready CSV files with automatic key flattening and UTF-8 BOM.