vilassn/whisper_android

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

64
/ 100
Established

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.

630 stars. Actively maintained with 2 commits in the last 30 days.

No Package No Dependents
Maintenance 16 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

630

Forks

106

Language

C++

License

MIT

Last pushed

Mar 18, 2026

Commits (30d)

2

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