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Published 30 days ago • verified publisherantonkarpenko.com• Latest: 2.6.0
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OpenAI Whisper ASR (Automatic Speech Recognition) for Flutter

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2.0.0 #

  • Upgraded the vendored whisper.cpp from a 2023-era snapshot to v1.9.1 — roughly 15× faster transcription (an 11-second clip takes ~0.4 s with the base model on Apple Silicon), with Accelerate enabled on iOS/macOS
  • The model-loading code that crashed on some physical iPhones was rewritten upstream (#22); verified working on the iOS simulator
  • Removed the -march=armv8.2-a+fp16 Android compile flags that caused SIGILL crashes on armv8.0 devices (#15)
  • Native code now compiles with -O3 in debug builds on iOS/macOS, so development-time transcription is no longer unusably slow
  • Rewrote the README
  • Note: while the Dart API is unchanged, the native engine swap is significant — hence the major version bump

1.9.2 #

  • Removed the windows and linux platform declarations — neither has a native whisper implementation, and pub.dev advertised support that failed at runtime. Unsupported platforms now throw a clear UnsupportedError (#20)
  • Ship consumer ProGuard rules so Android release builds no longer strip the bundled ffmpeg-kit classes, which broke plugin registration and surfaced as channel-error on unrelated plugins like path_provider (#16)

1.9.1 #

  • Fixed a native crash (SIGABRT) when whisper emits text containing invalid UTF-8 — e.g. a token boundary splitting a multi-byte character, common with non-English audio. Invalid bytes are now replaced with U+FFFD instead of aborting the app (#21)

1.9.0 #

  • Added live (streaming) transcription: WhisperController.transcribeLive takes a stream of 16 kHz mono PCM16 audio and returns a WhisperLiveSession that emits progressively refined partial transcripts while the user speaks; stop() returns the final text
  • Live sessions load the model once and keep it in memory (new native stream_start / stream_feed / stream_stop API on Android, iOS, and macOS); inference runs on a dedicated isolate and never blocks the UI
  • Adaptive energy gate keeps silence — digital or room tone — away from the decoder, preventing [BLANK_AUDIO] markers and hallucinated repetition; tunable per session via gateRmsMin, gateVoiceRatio, and gateNoiseFloorCap
  • Added suppressNonSpeechTokens parameter (whisper_full_params.suppress_non_speech_tokens) to TranscribeRequest, transcribe, and transcribeLive
  • Fixed a native memory leak: FFI response buffers were never freed — one small leak per one-shot transcription, unbounded growth for streaming
  • Example app: redesigned UI with dedicated Live and Record microphone buttons and a JFK sample button; live transcripts update on screen while speaking
  • Fixed macOS example: added the missing microphone entitlement

1.8.0 #

  • Added initialPrompt parameter to TranscribeRequest and WhisperController.transcribe
  • Wired initial_prompt through to whisper_full_params.initial_prompt on Android, iOS, and macOS to bias decoding toward domain-specific vocabulary, names, and punctuation
  • Added noContext parameter (whisper_full_params.no_context, equivalent to Python whisper's condition_on_previous_text=False) on Android, iOS, and macOS to disable cross-segment text conditioning — helps against hallucinated repetition on short utterances
  • Empty / null prompt and noContext: false leave whisper.cpp defaults, so existing callers see no behaviour change
  • Removed unused flutter_riverpod dependency, which was constraining consumers to riverpod 2.x even though the package never imported it
  • Fixed example app crash on macOS when transcribing the bundled jfk.wav (temporary directory did not exist)

1.7.0 #

  • Connected diarize transcribe parameter to the underlying whisper C++ code
  • Added diarize parameter to the transcribe method

1.6.0 #

  • Fixed iOS issues
  • Added auto language support for iOS
  • Fixed example project
  • Increased NDK version in order to support Google 16 KB requirement

1.5.0 #

  • Switched main FFmpeg from heavy ffmpeg_kit_flutter_new: ^1.6.1 to lightweight ffmpeg_kit_flutter_new_min: ^2.1.0
  • Upgraded recorder dependency for example project from v5.2.1 to v6.0.0
  • Updated main code files

1.4.0 #

1.3.0 #

  • Upgraded Android bindings to work with Flutter 3.29
  • Added new FFmpeg kit dependency

1.2.0 #

  • Fixed Android v1 embedding issue by adding override for ffmpeg_kit_flutter_full_gpl
  • Upgraded dependencies

1.1.1 #

  • Cleaned up code

1.1.0 #

  • Added support for MacOS

1.0.0 #

  • Added support for Android and iOS

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verified publisherantonkarpenko.com

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Metadata

OpenAI Whisper ASR (Automatic Speech Recognition) for Flutter

Repository (GitHub)
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Topics

#ggml #artificial-intelligence #machine-learning

License

unknown (license)

Dependencies

ffi, ffmpeg_kit_flutter_new_min, flutter, freezed_annotation, json_annotation, path_provider, plugin_platform_interface, universal_io

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