Find Dates & Times in Text
Extract and analyze dates, times, and temporal information from any text content
About Date & Time Extraction
Our advanced temporal data extraction tool identifies and parses dates, times, and time-related information from any text content. Perfect for processing schedules, logs, documents, and extracting temporal patterns from unstructured text.
Key Features
- Multiple Formats: Supports various date and time formats worldwide
- Smart Recognition: Identifies relative dates like "tomorrow" or "next week"
- Timezone Handling: Recognizes and processes timezone information
- Context Analysis: Provides surrounding context for each temporal reference
- Format Standardization: Converts all dates to standardized formats
- Export Options: Export results as text, CSV, or JSON
Supported Date Formats
- ISO 8601:
2024-03-15T14:30:00Z - US Format:
03/15/2024,March 15, 2024 - European:
15/03/2024,15 March 2024 - Informal:
Mar 15,15th March - Relative:
yesterday,next Monday - Time only:
2:30 PM,14:30
Supported Time Formats
- 12-hour:
2:30 PM,02:30:45 AM - 24-hour:
14:30,14:30:45 - With timezone:
2:30 PM EST,14:30 UTC - Informal:
half past two,quarter to five - Ranges:
9 AM - 5 PM,14:00-16:30
Common Use Cases
- Extract schedules and appointments from emails and documents
- Parse log files and timestamp data for analysis
- Process meeting notes and calendar information
- Analyze temporal patterns in text data
- Convert between different date and time formats
- Build timelines from narrative text
Temporal Recognition Features
- Absolute Dates: Specific dates with day, month, and year
- Relative Dates: "tomorrow", "last week", "in 3 days"
- Recurring Events: "every Monday", "monthly"
- Date Ranges: "March 1-15", "from Monday to Friday"
- Partial Dates: "March 2024", "next summer"
- Time Periods: "morning", "afternoon", "evening"
Analysis Features
- Chronological Sorting: Orders dates and times chronologically
- Format Detection: Identifies the format used for each date/time
- Validation: Checks for valid dates and realistic times
- Standardization: Converts all dates to consistent format
- Timezone Conversion: Handles different timezone representations
- Pattern Analysis: Identifies common date/time patterns in text
Export Formats
- Plain Text: Simple list of extracted dates and times
- CSV: Structured data with original text, parsed date, format, and context
- JSON: Detailed format with full temporal analysis and metadata
Timezone Support
- Standard abbreviations: EST, PST, GMT, UTC, CET
- Offset notation: +0000, -0500, +09:00
- Named timezones: America/New_York, Europe/London
- Military time: Zulu, Alpha, Bravo time zones
Best Practices
- Include context around dates for better accuracy
- Specify timezone when dealing with international content
- Use consistent date formats within the same document
- Review extracted dates for context-dependent meanings
- Consider cultural date format preferences in your content
Tips for Best Results
- • Include year information when possible for absolute dates
- • Use standard timezone abbreviations for clarity
- • Provide context for relative dates ("next Monday" needs a reference point)
- • Check extracted dates against expected ranges for validation