Want to convert each table data in a SQL file to a separate JSON file at one time?
Try Data File Converter, a SQL converting tool for Windows, MacOS, and Linux, Convert tables in a SQL file to JSON files, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert files locally and privately, avoid uploading large SQL file(s) to online services.
Download Withdata DataFileConverter 
Convert each table data in a SQL file to a separate JSON file
Select source SQL file -> Set target JSON file -> Convert SQL table to JSON
Click “Start a New Convert” at task dialog.
then show the wizard.
Select From “File” “SQL” To “Files” “JSON”.
1. Open a source SQL file, select tables to convert to JSON files.
2. Config target JSON files.
3. Summary.
List selected tables.
4. Convert each SQL table to a separate JSON file.
After converting, you can view output JSON files.
Convert each SQL table to a separate JSON file in command line
Save “SQL table to JSON” session, then you can:
- Convert each SQL table to a separate JSON file in Windows command line.
- Convert each SQL table to a separate JSON file in Linux command line.
- Convert each SQL table to a separate JSON file in macOS command line.
Set scheduled tasks for converting each SQL table to a separate JSON file
You can schedule and automate this SQL table to JSON converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “SQL table to JSON” conversion.
- Set scheduled task for “SQL table to JSON” conversion.
FAQ
More about Withdata DataFileConverter – Tables in SQL file to JSON converter
Download Withdata DataFileConverter
See Video: Convert each table data in a SQL file to a separate JSON file at one time
SQL → JSON reference
Type mapping
| Value kind | in SQL | in JSON |
|---|---|---|
| Int | INT | 1234 (number) |
| Bigint | BIGINT | 9007199254740993 |
| Decimal | DECIMAL(p,s) | 1234.56 (number) |
| Float | DOUBLE PRECISION | 1.234e10 (number) |
| Text | VARCHAR(n) | "text" (string) |
| Long text | TEXT / CLOB | "multi-line\ntext" (escaped newline inside a string) |
| Date | DATE | "2026-09-18" (string) |
| Datetime | TIMESTAMP | "2026-09-18T14:30:00Z" (string) |
| Binary | BLOB / BYTEA | "base64:..." (string) |
| Boolean | BOOLEAN / SMALLINT | true / false (boolean) |
| JSON | JSON / TEXT | nested object or array, kept as structure |
Dialect differences
Both SQL and JSON are file formats, so what differs below is how each one chooses to represent a value.
| Property | in SQL | in JSON |
|---|---|---|
| identifiers | Two competing conventions: single-quoted literals and diale... | Double quotes; backslash escapes |
| dates | Depends on the dialect: DATE literals, TO_DATE(), or plain ... | No date type: dates arrive as strings and the reader must p... |
| binary | Dialect-specific: X-quoted literal, 0x hex, or decode() | Not supported natively - base64 inside a string |
| separator | Statement terminators (;) | Braces and commas |
| encoding | No declaration | UTF-8 by definition |
| typing | Types belong to the target database, and they differ betwee... | string, number, boolean, null, object, array - no date type |
| shape | Statements; a dump usually means CREATE TABLE plus INSERT rows | Nested objects and arrays |
| ceiling | No formal limit, but a single INSERT statement has to fit i... | Whole document is usually parsed into memory |
Data File Converter without the manual work
For batch jobs, large files and scheduling use the Data File Converter converter — an offline desktop app for Windows, Linux and macOS. Free trial.
