Cron Expression Parser
Parse cron expressions into human-readable descriptions. See the next 10 execution times, visual field breakdown, and use common presets. 100% client-side — no data leaves your browser.
Common Cron Presets
Click a preset to load it into the parser.
Cron Syntax Quick Reference
| Field | Values | Special Characters |
|---|---|---|
| Minute | 0-59 | * , - / |
| Hour | 0-23 | * , - / |
| Day of Month | 1-31 | * , - / |
| Month | 1-12 or JAN-DEC | * , - / |
| Day of Week | 0-7 (0 and 7 = Sunday) or SUN-SAT | * , - / |
| Character | Meaning | Example |
|---|---|---|
* | Any value | * * * * * = every minute |
, | Value list separator | 1,15 * * * * = minute 1 and 15 |
- | Range of values | 1-5 * * * * = minutes 1 through 5 |
/ | Step values | */15 * * * * = every 15 minutes |
About Cron Expressions
Cron is a time-based job scheduling system found in Unix-like operating systems. A cron expression is a string of five (or six) fields that define a schedule for recurring tasks. Cron is used extensively in system administration, DevOps, and application development for automating tasks like backups, log rotation, and data processing.
Five-Field Standard Format
The standard cron expression consists of five fields: minute hour day-of-month month day-of-week. Each field can contain a specific value, a wildcard (*), a range (1-5), a list (1,3,5), or a step value (*/15).
Six-Field Format (with Seconds)
Some systems (like Spring, Quartz) support a six-field format that adds a seconds field at the beginning: second minute hour day-of-month month day-of-week. This tool auto-detects whether you are using 5 or 6 fields.
Common Use Cases
Cron jobs are used for scheduled database backups, sending periodic email reports, cleaning up temporary files, refreshing caches, running health checks, syncing data between systems, and generating reports. Understanding cron syntax is essential for any DevOps engineer or system administrator.
100% Client-Side Processing
This cron parser runs entirely in your browser. No cron expressions or scheduling data are transmitted to any server. All parsing, description generation, and next-run calculations happen locally on your device.