Sherlock

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Sherlock is a natural-language event parser for Javascript that allows developers to extract event details from plain English. It simplifies event creation by interpreting times, dates, and titles from user input.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Sherlock?

Sherlock is an open-source JavaScript library designed to parse natural language event descriptions into structured data. It excels at interpreting plain English phrases like "The party is tomorrow from 3pm to 5pm" and returning an object with properties such as `eventTitle`, `startDate`, `endDate`, and `isAllDay`. This tool supports a wide variety of input formats common in US English, handling times, days, date ranges, and event titles. For enhanced customization, Sherlock can be paired with Watson, which provides preprocessor and postprocessor layers to manipulate input strings or modify returned data, making it adaptable for specific application logic or data validation needs. Installation is straightforward via npm.

Best used for

Ideal for developers who need to enable natural language event creation, parse user-entered event descriptions, and extract structured date/time information. Especially valuable for building applications where users input event details in plain English, simplifying the user experience.

Common actions

parse natural language

extract event data

process date/time

integrate NLP

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Capabilities

Key features

Natural language event parsing
Extract start/end dates
Identify event titles
Detect all-day events
Customizable pre/post-processing

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of natural language input can Sherlock parse?

Sherlock is designed to parse event descriptions written in plain English, specifically supporting a wide variety of input formats common in US English. It can extract times, days, date ranges, and event titles from sentences like "The party is tomorrow from 3pm to 5pm" or "Homework 5 due next monday at 3pm."

How does Sherlock compare to date manipulation libraries like Datejs?

Sherlock is built for handling user input in natural language, extracting event details from free-form text. Datejs, on the other hand, is a date manipulation library primarily for programmatic date and time operations, not for interpreting human-entered phrases. Sherlock is better suited for user-facing input fields.

Can I customize how Sherlock processes input or output?

Yes, Sherlock can be customized using Watson, which provides preprocessor and postprocessor layers. The preprocessor allows you to manipulate the input string before Sherlock parses it, while the postprocessor lets you modify the data returned by Sherlock or add additional properties, enabling app-specific logic and data validation.

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Also listed in

This tool also appears in

Productivity & Business › Calendar & Scheduling AI Agents & Automation › Chatbots & Conversational AI AI Agents & Automation › Scheduling & Task Agents Productivity & Business › Workflow Automation

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