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