Why Choose DBToFile for MySQL to JSON?
- ✅ Cross-Platform Support: Windows, Linux & macOS
- ✅ Two Modes: GUI + CLI for automation
- ✅ Blazing Fast: Millions of rows in minutes
- ✅ 100% Local & Secure
- ✅ JSON, JSON Array, JSONL Support
- ✅ Dynamic Filenames with Date/Time
- ✅ Full Customization & Batch Export
What You Can Export to JSON
1. Export Single MySQL Table to JSON
Convert any MySQL table to clean JSON with preview, column mapping, and encoding rules. 📷
2. Export MySQL Query Results to JSON
Run custom SQL queries and export filtered results directly to JSON. 📷
3. Batch Export MySQL Tables to JSON Files
Export multiple tables to individual JSON files in one operation. 📷
4. Merge Similar MySQL Tables to One JSON
Combine structurally similar tables into a single JSON file. 📷
5. MySQL to JSON Array
Export data as a formatted JSON array for API and application integration. 📷
6. MySQL to JSONL (NDJSON/LDJSON)
Newline-delimited JSON output ideal for big data and stream processing. 📷
7. Dynamic Filenames with Current Date
Auto-generate filenames with timestamp: sales_#yyyy#_#mm#_#dd#.json 📷
Step-by-Step MySQL to JSON (GUI Mode)
Step 1: Connect to Your MySQL DatabaseSelect MySQL as the database type, enter your MySQL host, port, username, password, and target database (support for SSH/SSL), and connect. 📷
Step 2: Choose Your Export TypeTable 📷, Query 📷, Batch All Tables 📷, or Merge Similar Tables 📷
Step 3: Customize JSON OutputSet format (JSON / JSON Array / JSONL), filename (static/dynamic), encoding, columns, and date formats. 📷
Step 4: Export & ViewClick Start Convert, view real-time progress, and open the JSON file instantly. 📷
CLI Mode for Automation & Scheduled Tasks & AI Agents
Save GUI settings as a session, then run via script for fully automated exports. 📷
Automate exports with command-line mode for cron jobs or Windows Task Scheduler:
Or call command-line by AI agents.
Key Features & Customization
- JSON Array with custom root name
- ISO 8601 & custom date/time formatting
- Rename, exclude, and reorder columns
- Error logging and export statistics
- Bulk processing with low resource usage
- Preserve null values, Unicode, and special characters
MySQL to JSON — Quick Facts
- About this database:
MySQL uses backtick-quoted identifiers and the LIMIT clause. Compatible with Amazon Aurora MySQL and Amazon RDS for MySQL (same protocol). - Default port:
3306 - Identifier quoting:
`backtick` - Row limit syntax:
LIMIT n - Date / time types:
DATETIME, TIMESTAMP, DATE, TIME - Large text type:
TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT - Binary type:
BLOB / TINYBLOB / LONGBLOB - Command-line equivalent:
mysqldump, or mysql -e "SELECT ..." > out.csv
Common Pitfalls When Exporting MySQL to JSON
- A relational result is flat but JSON is nested - decide whether to emit an array of objects or wrap rows under a key.
- JSON has no date type, so dates land as strings and the consumer has to parse them.
- Very large integers lose precision in some JSON readers because they are parsed as doubles.
- NULL and a missing key are different in JSON - pick one convention or downstream code will break.
- NULL and an empty string are different values - keep them distinct or they collapse on re-import.
- BLOB and LONGBLOB columns have no text form, so encode them as base64 or exclude them.
FAQ
How long does it take to export MySQL to JSON?100,000 rows in seconds; millions of rows in minutes.
What MySQL versions does DBToFile support?DBToFile support MySQL 5.5, 5.6, 5.7, 8.0, 8.4, 9.0+.
Can I export on Linux or macOS?Yes, native builds for all major operating systems.
Is my data secure?All conversions run locally — no data is uploaded to any server.
How to use dynamic filenames?Use tags: #yyyy#, #mm#, #dd#, #hh#, #mi#, #ss#.
Does it support JSONL?Yes, select JSON Lines as the target format.
Download DBToFile Today
Start exporting MySQL to JSON in 2 minutes — free trial available, no credit card required.
Version: 2026 | Fully updated for latest OS | Windows/Linux/macOS