42 lines
1.2 KiB
TypeScript
42 lines
1.2 KiB
TypeScript
import type { TranscriptionSegment } from './openai';
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function formatVttTime(seconds: number): string {
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if (!Number.isFinite(seconds) || seconds < 0) {
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seconds = 0;
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}
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const totalMs = Math.round(seconds * 1000);
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const hours = Math.floor(totalMs / 3_600_000);
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const minutes = Math.floor((totalMs % 3_600_000) / 60_000);
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const secs = Math.floor((totalMs % 60_000) / 1000);
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const ms = totalMs % 1000;
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const pad = (n: number, width: number) => n.toString().padStart(width, '0');
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return `${pad(hours, 2)}:${pad(minutes, 2)}:${pad(secs, 2)}.${pad(ms, 3)}`;
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}
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/**
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* Build a minimal WEBVTT caption file from Whisper segment timestamps.
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*/
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export function segmentsToWebVtt(segments: TranscriptionSegment[]): string {
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const lines = ['WEBVTT', ''];
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let cueIndex = 1;
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for (const segment of segments) {
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const text = segment.text.trim();
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if (!text) continue;
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const start = formatVttTime(segment.start);
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const end = formatVttTime(Math.max(segment.end, segment.start + 0.001));
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lines.push(String(cueIndex));
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lines.push(`${start} --> ${end}`);
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lines.push(text);
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lines.push('');
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cueIndex++;
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}
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return lines.join('\n');
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}
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