Parsely

Parsely is a versatile tool designed to enhance text parsing and masking capabilities within your Flutter applications. With this package, you can effortlessly extract various entities such as links, email addresses, @mentions, hashtags, and phone numbers from text inputs. Additionally, it offers the functionality to mask these entities with customizable masks while ensuring they remain clickable for seamless user interaction.

Key Features

1. Entity Parsing: Easily parse links, email addresses, @mentions, hashtags, and phone numbers embedded within text strings.
2. Customizable Masks: Define custom masks to obscure sensitive information such as email addresses or phone numbers while preserving their format.
3. Clickable Entities: Automatically convert parsed entities into clickable elements, enabling users to interact with them effortlessly.
4. Flexible Integration: Seamlessly integrate the parser and masker functionality into your Flutter applications with minimal configuration.
5. Performance Optimized: Engineered for optimal performance to ensure smooth operation even with large volumes of text inputs.
6. Cross-platform Compatibility: Compatible with all flutter supported platforms.

Use Cases

1. Social Media Apps: Enhance user engagement by making @mentions and hashtags clickable within comments or posts.
2. Messaging Platforms: Improve user experience by automatically parsing and masking phone numbers and email addresses within chat conversations.
3. E-commerce Apps: Protect user privacy by masking email addresses and phone numbers while enabling clickable links for product URLs.
4. Content Sharing Apps: Facilitate seamless sharing of content by parsing and masking links within text descriptions or captions.

Install

Install by adding this package to your pubspec.yaml:

dependencies:
  binkap_parsely: <latest>

flutter pub add binkap_parsely

Usage

To use this package, add binkap_parsely as a dependency in your pubspec.yaml file.

to /example folder.

import 'package:binkap_parsely/binkap_parsely.dart';

Parsely(
      text:
          'Visit me https://binkap.com, or you could send me an email at rea.desert.tiger@gmail.com, Supposedly you prefer calls reach me at +2348068989116 or simply use #binkap on twitter',
      textAlign: TextAlign.center,
      options: ParselyOptions( //Optional
        parseMentionTag: false, // Default true
        humanize: true, // Default true
        parsePhone: true, // Default true
        parseHashTag: true, // Default true
        parseEmail: true, // Default true
        parseLink: true, // Default true
      ),
      mask: ParselyMask( // Optional
        matches: [
          '+2348068989116',
        ],
        masks: [
          'My Contact',
        ],
      ),
      style: const TextStyle( // Styling for unmatched text
        color: Colors.white,
        fontSize: 20,
        fontWeight: FontWeight.bold,
        fontFamily: 'DancingScript',
      ),
      parsedStyle: const TextStyle( // Styling for Matched text
        color: Color.fromARGB(255, 33, 243, 86),
        fontSize: 20,
        fontWeight: FontWeight.bold,
        fontFamily: 'DancingScript',
      ),
      onTap: (element) { // Function to be invoked when matched text is clicked
        switch (element.type) {
          case ParselyType.link:
            print('Do something with the link: ${element.parsed}');
            break;
          case ParselyType.email:
            print('Do Something with the email: ${element.parsed}');
            break;
          case ParselyType.phone:
            print('Do Something with the phone number: ${element.parsed}');
            break;
          case ParselyType.hashTag:
            print('Do Something with the hashTag: ${element.parsed}');
            break;
          case ParselyType.mentionTag:
            print('Do Something with the @mention: ${element.parsed}');
            break;
          default:
            print('Something');
        }
      },
    );

Dictionary

ParselyElement

Parameter	Type	Description
type	ParselyType	the parsed text either url, email, phone number, hashtag or @mention
parsed	String	value the parsed text holds