constraint-parser

You can extract meeting scheduling constraints from raw email text by parsing natural language inputs to identify times, time windows, unavailable days, and attendee preferences. This process outputs a structured JSON object containing the constraint types and values for downstream scheduling tools.

The best way to parse unavailable times and attendee preferences from emails is to apply a constraint parser to the raw text. It detects natural language mentions of time windows and unavailability, converting them into a structured representation suitable for conflict resolution by scheduling engines.

This constraint parser is designed for emails that explicitly mention times, time windows, unavailable days, or attendee preferences. If the meeting request lacks specific scheduling constraints, the parser will not be able to extract meaningful structured JSON data for a scheduling engine.

To get structured JSON output from emails containing meeting requests, provide the raw email text to the parser. It analyzes the text for scheduling constraints and outputs a structured JSON object listing the specific constraint types and values extracted from the natural language input.

The parser works directly with natural language emails containing meeting scheduling requests. You provide the raw email text, and it automatically extracts the scheduling constraints without requiring the text to be pre-formatted or structured before input.