@pr0gramm/fluester/dist/transcript.js

Node.js bindings for OpenAI's Whisper. Optimized for CPU.

export default function parseTranscript(vtt) {
    // 1. separate lines at timestamp's open bracket
    const lines = vtt.split("[");
    // 2. remove the first line, which is empty
    lines.shift();
    // 3. convert each line into an object
    return lines.map((line) => {
        // 3a. split ts from speech
        const [timestamp, speech] = line.trim().split("]  ");
        // 3b. split timestamp into begin and end
        const [start, end] = timestamp.split(" --> ");
        // 3c. remove \n from speech with regex
        const normalizedSpeech = speech.replace(/\n/g, "").trim();
        return { start, end, speech: normalizedSpeech };
    });
}
export function parseDetectedLanguage(output) {
    // whisper.cpp appears to use two-letter-country-code:
    // https://github.com/ggerganov/whisper.cpp/blob/940cdb13964a563d86c7dc6e160a43ec89b8bb2e/whisper.cpp#L195-L295
    // Example line:
    // whisper_full_with_state: auto-detected language: en (p = 0.958819)
    const res = /auto-detected language: (\w\w)\s*\(p\s*=\s*(\d+\.\d+)\)/.exec(output);
    if (!res) {
        return undefined;
    }
    return {
        language: res[1].toLowerCase(),
        probability: Number(res[2].trim()),
    };
}