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Dateparser is a Python library for parsing human-readable date and time expressions into timezone-aware datetime objects. It understands natural language phrases such as “tomorrow at 5pm”, “next Friday”, or “two weeks ago”, along with formatted dates in dozens of locales. Dateparser intelligently interprets incomplete information, applies configurable parsing preferences, and returns precise Python datetime values that you can use for scheduling, reminders, logging, and analytics.
This compiler bundles Dateparser, allowing you to experiment with natural language date parsing directly in your browser. Upload files and folders to work with local date data, parse relative expressions, control preferred date order, work with multiple languages, auto-detect time zones, and search entire paragraphs for embedded dates. The playground exposes the full API including the dateparser.parse helper, advanced settings, and the search_dates utility for extracting multiple matches. This online compiler is completely free and requires no installation.
The included examples demonstrate everyday workflows such as parsing reminders, handling localized input, working with timezone-aware outputs, configuring relative base dates, scanning text for multiple timestamps, and customizing parser settings. These patterns map directly to real-world use cases like chatbots, automation scripts, productivity tools, logging pipelines, and any system that accepts free-form date input.
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