whis-core 0.6.0

Features

• Audio recording — capture microphone input via cpal
• Multi-provider transcription — OpenAI, Mistral, Groq, Deepgram, ElevenLabs, or local Whisper
• Parallel processing — split long recordings into chunks for parallel transcription
• LLM post-processing — clean up transcriptions using Ollama
• Clipboard — copy results to system clipboard (X11, Wayland, Flatpak)
• Config management — persistent settings in ~/.config/whis/

Usage

use whis_core::{
    AudioRecorder, TranscriptionProvider, RecordingOutput,
    transcribe_audio, copy_to_clipboard, ClipboardMethod,
};

// Configure provider and API key
let provider = TranscriptionProvider::OpenAI;
let api_key = std::env::var("OPENAI_API_KEY")?;

// Record audio
let mut recorder = AudioRecorder::new()?;
recorder.start_recording()?;
// ... wait for user input ...
let output = recorder.finalize_recording()?;

// Extract audio data from RecordingOutput
let audio_data = match output {
    RecordingOutput::Single(data) => data,
    RecordingOutput::Chunked(chunks) => {
        // For chunked audio, use parallel_transcribe instead
        chunks.into_iter().next().unwrap().data
    }
};

// Transcribe
let text = transcribe_audio(&provider, &api_key, None, audio_data)?;

// Copy to clipboard
copy_to_clipboard(&text, ClipboardMethod::Auto)?;

Feature Flags

Modules

License

MIT