Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
- speech-recognition
- asr
- voice-recognition
- speech-to-text
Repository Index
47,133 repositories indexed
1–16 of 16 · Most stars
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.
- privacy-first
- gguf
- llama-cpp
- local-ai
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
A free Wenku8 and local-book reader for Android, iOS and HarmonyOS, with offline reading, text-to-speech, reading reports, widgets and S3 sync.
:speech_balloon: A UI framework for building messenger interfaces on iOS
- swift
- messenger
- chat
BYOK voice recording companion with ASR transcription, speaker diarization, AI summaries, and local ASR endpoint support.
:iphone: The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
- ibm-watson-services
- ibm-watson-speech
- swift-4
- hacktoberfest
Android Input Method Editor (IME) based on Whisper
- android
- on-device-ai
- speech-recognition
- transcription
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
- voice
- voice-recognition
- voice-assistant
- voicetext
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
- voice
- overlay
- input
- speech-to-text
The repository host gives no description.
⚡️ Capacitor plugin for synthesizing speech from text.
Capacitor plugin for speech recognition.
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios
Capacitor plugin to synthesize speech from text with full control over language, voice, pitch, rate, and volume.