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On-device speech-to-text for Flutter, powered by whisper.cpp. Offline transcription with timestamps, language detection and model downloads, on iOS and Android.

0.1.1 #

  • WhisperModel: full ggerganov/whisper.cpp catalog (33 models) with exact published sizes — adds medium, large-v1/v2/v3, large-v3-turbo and all q5/q8 + .en quantized variants.
  • WhisperModelDownloader.delete removes a downloaded model (and any stale .part file).
  • Fixed englishOnly detection for quantized .en variants (e.g. ggml-base.en-q5_1.bin).

0.1.0 #

  • Initial release: offline transcription on iOS and Android via whisper.cpp v1.9.1.
  • WhisperTranscriber — isolate-based transcription with timestamps, language detection, translate-to-English, progress and cancellation.
  • WhisperModelDownloader + WhisperModel catalog (official ggml models from Hugging Face).
  • WAV decoding helpers (PCM 8/16/24/32-bit and float32, resampling, downmix).
  • iOS: prebuilt Metal/Accelerate xcframework (iOS 16.4+). Android: built from source with the NDK (minSdk 24).
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API reference

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verified publisherkulekci.net

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On-device speech-to-text for Flutter, powered by whisper.cpp. Offline transcription with timestamps, language detection and model downloads, on iOS and Android.

Homepage
Repository (GitHub)

Topics

#speech-to-text #transcription #whisper #offline #ffi

License

MIT (license)

Dependencies

ffi, flutter

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Packages that depend on whisper_edge

Packages that implement whisper_edge