whisper_android and whisper.cpp.android

These are competitors offering alternative implementations of Whisper for Android—one leveraging TensorFlow Lite for inference while the other uses whisper.cpp with OpenCL acceleration—targeting the same use case of offline speech recognition on mobile devices.

whisper_android

Established

whisper.cpp.android

Experimental

Maintenance 16/25

Adoption 10/25

Maturity 16/25

Community 22/25

Maintenance 0/25

Adoption 5/25

Maturity 9/25

Community 6/25

Stars: 630

Forks: 106

Downloads: —

Commits (30d): 2

Language: C++

License: MIT

Stars: 12

Forks: 1

Downloads: —

Commits (30d): 0

Language: Kotlin

License: Apache-2.0

No Package No Dependents

Stale 6m No Package No Dependents

About whisper_android

vilassn/whisper_android

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

Provides dual implementation paths via TensorFlow Lite Java and Native APIs, allowing developers to choose between ease of integration and optimized performance. Includes a Python conversion pipeline to transform OpenAI Whisper models into TFLite format, plus support for live streaming transcription through buffer-based audio input alongside file-based batch processing. The architecture handles multilingual models with configurable vocabulary filters and manages audio preprocessing at 16kHz mono format for inference compatibility.

About whisper.cpp.android

godmode2k/whisper.cpp.android

whisper.cpp.android with CLBlast(OpenCL), Translation (Google ML-Kit) and TTS

Related comparisons

whisper_android and whisper.cpp whisper_android and whisper.unity whisper_android and whisper-to-input whisper_android and RuntimeSpeechRecognizer whisper_android and whisper-cpp-server whisper_android and MisterWhisper

Scores updated daily from GitHub, PyPI, and npm data. How scores work