explaingit

hilen/tswechat

★ 3,752SwiftAudience · developerComplexity · 3/5LicenseSetup · moderate

TLDR

TSWeChat is a demo iOS app written in Swift that recreates the look and messaging features of WeChat, including text with emoji, voice messages, and photo sharing, built as a learning reference, not a real WeChat client.

Mindmap

mindmap
  root((TSWeChat))
    What It Is
      iOS demo app
      WeChat UI clone
      Swift learning project
    Features
      Text with emoji
      Voice recording
      Photo upload
      JSON-driven data
    Tech Stack
      Swift
      CocoaPods
      RxSwift
      Kingfisher
      Alamofire
    Use Cases
      iOS UI reference
      Chat app template
      Swift learning
    Audience
      iOS developers
      Swift learners
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Code map

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Things people build with this

USE CASE 1

Study the code structure of a complete iOS chat app to understand how to build messaging UI in Swift.

USE CASE 2

Use TSWeChat as a starting template when building a custom iOS chat feature, adapting the message cell layouts and audio playback logic.

USE CASE 3

Learn how to integrate CocoaPods libraries like RxSwift, Kingfisher, and Alamofire together in a real Swift project.

USE CASE 4

Run the demo in Xcode to preview a WeChat-style interface without connecting to any backend server.

Tech stack

SwiftCocoaPodsRxSwiftSnapKitKingfisherAlamofire

Getting it running

Difficulty · moderate Time to first run · 30min

Requires CocoaPods installed and Xcode 10 or later, run pod install before opening the workspace file.

Free to use, modify, and distribute for any purpose, including commercial, as long as the MIT license notice is kept.

In plain English

TSWeChat is an iOS app written in Swift 5 that replicates the look and core messaging features of WeChat, the popular Chinese social messaging platform. It is not a working replacement for WeChat in terms of connecting to WeChat's servers, it is a demonstration project showing how a chat application of that style can be built from scratch on iOS. The app supports sending text messages with custom emoji expressions, photos, and voice recordings. Audio files are recorded in WAV format and automatically converted to AMR, a format that transfers more cleanly to Android devices. Photos are cached locally using the Kingfisher library, and after a successful upload the local filename is renamed to a hash of the remote image link to keep things organized. Voice messages are cached and downloaded on demand via the Alamofire networking library. All the conversation data in the demo is loaded from JSON files rather than a live server. The project uses ObjectMapper to convert that JSON into Swift model objects, and the overall code structure is organized by feature area: messages, contacts, login, and shared UI utilities each live in their own folder. RxSwift and SnapKit are among the other third-party libraries used for reactive logic and layout. The project requires CocoaPods to install its dependencies, Xcode 10 or later, and a device or simulator running iOS 10 or above. Running pod install and then opening the workspace file is enough to get a working preview of the interface. The README includes a to-do list covering features the author had not yet built at the time of writing, including a photo album picker, GIF support, video messages, an address book, and a timeline view. The project is released under the MIT license.

Copy-paste prompts

Prompt 1
I want to add a new message type to TSWeChat for displaying video thumbnails in the chat. Walk me through which files to modify and how the message model and cell are structured.
Prompt 2
How does TSWeChat handle voice message recording and conversion from WAV to AMR format? Show me the relevant Swift code pattern.
Prompt 3
I'm new to RxSwift. How is it used in TSWeChat and what part of the app would I look at first to understand the reactive patterns?
Prompt 4
How do I run TSWeChat in Xcode from scratch, what CocoaPods steps do I need and which minimum iOS version does it target?
Prompt 5
TSWeChat loads conversation data from JSON files. How would I swap that out to fetch messages from a real REST API instead?
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