Xime

Introduction: 我的自用安卓五笔/拼音输入法，基于 Rime 构建,支持下滑显示字根

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Xime - Wubi / Pinyin Input Method for Android

Windows Version | Linux Version | Predictive Text Model | Handwriting Model

An Android input method built on the Rime engine, designed for efficient Chinese text input with Wubi (五笔) and Pinyin support.

This input method supports both Wubi (五笔) and Pinyin input. The author primarily uses Wubi with Pinyin as a fallback, so resources lean toward Wubi.

Full Keyboard (Light)	Full Keyboard (Dark)	Radical Swipe	Quick Actions
Floating Keyboard	T9 Pinyin	Numpad	Symbols
Handwriting	Handwriting (Candidates)	Voice Input	Emoji Keyboard
Theme Settings (Light)	Theme Settings (Dark)	Plugin Manager	Schema Marketplace

Multiple Input Schemas - Built-in Wubi 86/98, Pinyin, and mixed schemas; supports custom schemas (Shuangpin, Stroke, etc.) via the schema marketplace or wireless import
Rime Engine - Powered by the mature and reliable Rime input method engine for accurate Chinese input
Rich Keyboard Layouts - QWERTY full keyboard, T9 Pinyin, Stroke 9-key, Handwriting, Numpad (with calculator)
Floating Keyboard - Floating card style with drag support, semi-transparent rounded design
Voice-to-Text - Supports Alibaba Bailian FunAsr (online) and sherpa-onnx (local offline) engines
AI Enhancement - Transformer-based predictive text and punctuation prediction for faster input
Clean UI - Material Design 3, light/dark themes with multiple color schemes
Keyboard Adjustment - Adjustable keyboard height and position
Toolbar Customization - Customizable toolbar button layout and functions
Haptic Feedback - Adjustable sound and vibration intensity
Swipe Gestures - Cursor movement, deletion, symbol input via swipe gestures
Clipboard Manager - Clipboard history with quick send and pinning
Candidate Coding Hints - Display Wubi codes for candidates to aid learning
Radical Display - Swipe down on keys to show Wubi radicals for memory aid
Physical Keyboard Support - Floating candidate bar when using hardware/bluetooth keyboards
WebDAV Sync - Backup and restore schemas and settings via WebDAV
Emoji Plugins - Extensible emoji plugins (kaomoji, sticker packs, etc.)

Requirements

Android 9.0 (API 28) or later

Installation

Download

Choose the APK matching your device architecture:

arm64-v8a: Modern phones (recommended for most users)
armeabi-v7a: Older 32-bit phones
x86_64: Emulators
universal: All architectures (larger file size)

From Releases

Download the latest APK from Releases
Install the application
Enable Xime in system input method settings
Set Xime as the current input method

Build from Source

Clone the project and build the APK
Install the application
Enable Xime in system input method settings
Set Xime as the current input method

Documentation

For detailed documentation, visit https://ime.ximei.me.

Building

# Clone with submodules
git clone --recursive https://github.com/ximeiorg/Xime.git

# Or initialize submodules in an existing clone
git submodule update --init --recursive

# Build Release APK
./gradlew assembleRelease

Local Speech Recognition Build

The project supports local offline speech recognition (based on sherpa-onnx). The JNI library is downloaded and compiled automatically on first build.

If the automatic build fails, run:

# Build sherpa-onnx JNI library manually
./build-sherpa-onnx.sh

The built libsherpa-onnx-jni.so will be placed in app/src/main/jniLibs/.

The local ASR model can be downloaded from within the app's settings page.

AI Model Download

Predictive Text Model

Repository: https://github.com/ximeiorg/predictive-text
Model: https://www.modelscope.cn/models/bikeand/predictive-text-small
File: model_int8_dynamic.onnx (~17MB)
Vocabulary: vocab.json
Location: filesDir/ (app private directory root)
Function: Transformer-based Chinese word prediction for intelligent candidate suggestions

Punctuation Prediction Model

Repository: https://github.com/ximeiorg/srf-punctuation
Demo: https://srf-punctuation.ximei.me/
Model: https://www.modelscope.cn/models/bikeand/srf-punctuation
File: punctuation_int8.onnx (~2.2MB)
Vocabulary: vocab.json
Location: filesDir/punctuation_models/
Function: Transformer-based Chinese punctuation prediction, auto-punctuation after speech recognition