SQL INSERT & SELECT to JSON Array Converter
Convert SQL INSERT statements, SELECT result dumps, and table rows into clean JSON arrays with type inference and zero server communication.
01. Lexical Parsing & ANSI SQL Insert Support
Relational database exports, SQL dump files, and database administration consoles frequently produce INSERT INTO statements and tabular SELECT outputs that need to be transformed into JSON for REST APIs, MongoDB ingestion, or automated test fixtures.
Our SQL-to-JSON parsing engine executes a client-side lexical scanner that parses multi-row INSERT INTO queries generated by PostgreSQL, MySQL/MariaDB, and SQLite table exports. It tokenizes table identifiers, explicit column lists, and VALUES tuples while handling quoted strings, escaped quotes ('O''Reilly'), numeric literals, booleans, and null values.
In addition to INSERT dumps, the parser supports tabular ASCII result grids generated by psql, mysql-cli, and sqlite3 CLI consoles, transforming row-and-column terminal dumps directly into structured JSON arrays of objects.
- Dialect-Resilient Tokenizer: Robustly parses standard ANSI SQL INSERT statements, multi-row tuple values, and SQLite/MySQL table dumps.
- Lossless Type Inference: Automatically maps unquoted integers, decimals, booleans (TRUE/FALSE/1/0), and NULL literals to native JSON types.
- Quoted Column Identification: Accurately strips backticks (`id`), square brackets ([id]), and double quotes ("id") from column identifiers.
- Zero Server Overhead: Processes database dumps entirely in browser memory without sending queries over the network.
02. Step-by-Step SQL-to-JSON Conversion Workflow
1. Paste your SQL INSERT INTO statements or ASCII query output grid into the input editor.
2. Choose your preferred output format: JSON (array of objects), CSV spreadsheet, or TSV for Excel.
3. Preview the live data table grid below the editor to inspect parsed columns and data types.
4. Copy the converted output to your clipboard or download it as a .json or .csv file directly.
03. Edge Cases: Handling NULLs, Escaped Characters & BigInts
In SQL databases, NULL represents the intentional absence of data. The converter preserves this semantic by mapping SQL NULL to JSON null, rather than omitting keys or converting them to empty strings.
For large database primary keys (such as 64-bit BIGINT or Snowflake IDs), JavaScript's native Number precision limit (2^53 - 1) can cause rounding. When BigInt protection is enabled, large numeric identifiers are safely preserved as strings to prevent silent data corruption.
04. Enterprise Data Privacy & Air-Gapped Security
Database dumps frequently contain proprietary customer data, transactional records, and internal schema names. Because DevOmniTools executes 100% within your local browser sandbox, zero SQL queries or customer records are ever uploaded to remote servers or logged in telemetry.
This client-side processing model is designed to support organizational data boundary requirements under frameworks such as GDPR, HIPAA, and SOC 2, keeping query text confined to local device memory.
- 100% Client-Side Memory: Zero database queries transmitted across the network.
- No Query Logging: Confidential table structures and user records remain completely private.
- Offline Operational: Fully functional in air-gapped security networks without active internet.
05. Database Migration & Query Engineering Pipeline
Export SQL query results to flat tabular spreadsheets with our SQL to CSV Converter, format and beautify complex SQL statements using the SQL Formatter, or validate resulting JSON datasets with the JSON Formatter & Validator.
Frequently Asked Questions (FAQ)
Is my data transmitted to external servers?
No. The entire engine executes 100% locally inside your browser memory.
Does this tool work offline as a PWA?
Yes. Once loaded, all core algorithms run offline without network connectivity.
What is the maximum SQL dump size this converter can parse in the browser?
The SQL lexer parses INSERT INTO dumps up to 10 MB (approx. 50,000 rows) in 300–700 ms, transforming tabular data into nested JSON arrays with preserved numeric and boolean types.
Are outputs formatted according to official industry standards?
Yes. All conversions follow official web and data standards. This ensures your outputs work smoothly across Linux, macOS, and Windows systems.
Is Convert SQL to JSON & CSV Online (INSERT Statements to JSON) free to use with any rate limits or paywalls?
Core tools are free to use without an account. Device memory and tool-specific safety limits apply. Optional AI and online contact services have usage limits.