extract shared whisper transcribe helper, use in file-browser and pi stt routes

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

src/servers/api/file-browser/router.ts

@@ -7,6 +7,7 @@ import * as errors from '@@/custom-errors';
 import { readTtsConfig } from '@@/api/server-settings/tts';
 import { readSttConfig } from '@@/api/server-settings/stt';
 import { readOcrConfig } from '@@/api/server-settings/ocr';
+import { transcribeAudio } from '@@/api/stt/transcribe';
 import { getUserSettings } from 'officerdb';
 
 async function getUserTtsVoice(userId: number): Promise<string | null> {
@@ -794,45 +795,17 @@ router.post('/transcribe', async (ctx) => {
   const whisperUrl = sttConfig?.url;
   if (!whisperUrl) throw errors.BAD_REQUEST('Whisper not configured — set it up in Settings → Speech to Text');
 
-  const audioFile = Bun.file(absPath);
-
-  // Step 1: Detect language
-  const detectForm = new FormData();
-  detectForm.append('file', audioFile);
-  detectForm.append('temperature', '0.0');
-  detectForm.append('response_format', 'verbose_json');
-  detectForm.append('detect_language', 'true');
-
-  const detectRes = await fetch(`${whisperUrl}/inference`, { method: 'POST', body: detectForm });
-  if (!detectRes.ok) throw errors.BAD_REQUEST('Language detection failed');
-
-  const detectJson = (await detectRes.json()) as { language?: string };
-  const detectedLang = detectJson.language ?? 'en';
-
-  // Step 2: Check user's spoken languages to decide if translation is needed
-  let shouldTranslate = false;
   const settings = await getUserSettings(user.id);
   const spokenLanguages = (settings.languages as { spoken?: string[] })?.spoken ?? [];
-  if (spokenLanguages.length > 0 && !spokenLanguages.includes(detectedLang)) {
+
-    shouldTranslate = true;
+  let text: string;
+  try {
+    const result = await transcribeAudio({ file: Bun.file(absPath), whisperUrl, spokenLanguages });
+    text = result.text;
+  } catch (err) {
+    throw errors.BAD_REQUEST(err instanceof Error ? err.message : 'Transcription failed');
   }
 
-  // Step 3: Full transcription
-  const transcribeForm = new FormData();
-  transcribeForm.append('file', audioFile);
-  transcribeForm.append('temperature', '0.0');
-  transcribeForm.append('temperature_inc', '0.2');
-  transcribeForm.append('response_format', 'text');
-  transcribeForm.append('language', detectedLang);
-  if (shouldTranslate) {
-    transcribeForm.append('translate', 'true');
-  }
-
-  const res = await fetch(`${whisperUrl}/inference`, { method: 'POST', body: transcribeForm });
-  if (!res.ok) throw errors.BAD_REQUEST('Transcription request failed');
-
-  const text = (await res.text()).trim();
-
   await mkdir(dirname(cacheAbs), { recursive: true });
   await Bun.write(cacheAbs, text);
 

src/servers/api/pi/rest.ts

@@ -6,6 +6,8 @@ import { readSttConfig } from '../server-settings/stt';
 import { listPiModels } from './list-models';
 import { getHomeDirForRole } from '../../data-path';
 import { logger } from './logger';
+import { transcribeAudio } from '../stt/transcribe';
+import { getUserSettings } from 'officerdb';
 
 export const piRestRouter = createRouter();
 
@@ -72,30 +74,21 @@ piRestRouter.post('/pi/stt', async (ctx: Context) => {
     return ctx.json({ error: 'Whisper not configured — set it up in Settings → Speech to Text' }, 400);
   }
 
+  const user = ctx.get('user');
   const body = await ctx.req.parseBody();
   const file = body['file'];
   if (!file || !(file instanceof File)) {
     return ctx.json({ error: 'file is required' }, 400);
   }
 
-  const formData = new FormData();
+  const settings = (await getUserSettings(user.id)) as { languages?: { spoken?: string[] } };
-  formData.append('file', file, 'recording.wav');
+  const spokenLanguages = settings.languages?.spoken ?? [];
-  formData.append('temperature', String(body['temperature'] ?? '0.0'));
-  formData.append('temperature_inc', String(body['temperature_inc'] ?? '0.2'));
-  formData.append('response_format', String(body['response_format'] ?? 'json'));
 
   try {
-    const res = await fetch(`${sttConfig.url.replace(/\/+$/, '')}/inference`, {
+    const result = await transcribeAudio({ file, whisperUrl: sttConfig.url, spokenLanguages });
-      method: 'POST',
+    return ctx.json(result);
-      body: formData,
-    });
-    if (!res.ok) {
-      return ctx.json({ error: `Whisper returned ${res.status}` }, 502);
-    }
-    const json = await res.json();
-    return ctx.json(json);
   } catch (err) {
     logger.error('STT proxy failed', { error: String(err) });
-    return ctx.json({ error: 'Failed to reach Whisper server' }, 502);
+    return ctx.json({ error: err instanceof Error ? err.message : 'Failed to reach Whisper server' }, 502);
   }
 });

src/servers/api/stt/transcribe.ts

@@ -0,0 +1,89 @@
+// Whisper transcription with language-aware translation.
+//
+// Strategy: detect the audio's language, then transcribe in that language.
+// Only ask Whisper to translate (which is English-only) when the detected
+// language is NOT one the user speaks — i.e. they wouldn't understand the
+// raw transcript anyway.
+
+type TranscribeArgs = {
+  file: File | Blob;
+  whisperUrl: string;
+  spokenLanguages: string[];
+};
+
+export type TranscribeResult = {
+  text: string;
+  detectedLanguage: string;
+  translated: boolean;
+};
+
+// whisper.cpp's "language" field uses full names ("english"); ISO codes live in
+// `language_probabilities`. Map covers what the user can pick in Profile settings.
+const LANG_NAME_TO_ISO: Record<string, string> = {
+  english: 'en',
+  portuguese: 'pt',
+  spanish: 'es',
+  french: 'fr',
+  german: 'de',
+  italian: 'it',
+  dutch: 'nl',
+  russian: 'ru',
+  chinese: 'zh',
+  japanese: 'ja',
+  korean: 'ko',
+};
+
+export async function transcribeAudio({ file, whisperUrl, spokenLanguages }: TranscribeArgs): Promise<TranscribeResult> {
+  const base = whisperUrl.replace(/\/+$/, '');
+
+  // Step 1: detect language. Bias toward the user's spoken languages — Whisper's
+  // raw auto-detect is unreliable on short clips and often picks English by default.
+  const detectForm = new FormData();
+  detectForm.append('file', file);
+  detectForm.append('temperature', '0.0');
+  detectForm.append('response_format', 'verbose_json');
+  detectForm.append('detect_language', 'true');
+
+  const detectRes = await fetch(`${base}/inference`, { method: 'POST', body: detectForm });
+  if (!detectRes.ok) throw new Error(`Language detection failed (${detectRes.status})`);
+  const detectJson = (await detectRes.json()) as {
+    language?: string;
+    language_probabilities?: Record<string, number>;
+  };
+
+  const probs = detectJson.language_probabilities;
+  let detectedLanguage: string;
+  if (probs && spokenLanguages.length > 0) {
+    // Pick the spoken language with the highest probability
+    const ranked = spokenLanguages
+      .map((code) => [code, probs[code] ?? 0] as const)
+      .sort((a, b) => b[1] - a[1]);
+    detectedLanguage = ranked[0]?.[0] ?? spokenLanguages[0]!;
+  } else if (probs) {
+    // No spoken-language hint: take the highest-probability ISO code
+    const top = Object.entries(probs).sort((a, b) => b[1] - a[1])[0];
+    detectedLanguage = top?.[0] ?? 'en';
+  } else {
+    // No probabilities field (non-whisper.cpp backend) — try to map the name
+    const raw = (detectJson.language ?? 'en').toLowerCase();
+    detectedLanguage = LANG_NAME_TO_ISO[raw] ?? raw;
+  }
+
+  // Step 2: translate only when the user doesn't speak the detected language
+  const translated = spokenLanguages.length > 0 && !spokenLanguages.includes(detectedLanguage);
+
+  // Step 3: full transcription
+  const transcribeForm = new FormData();
+  transcribeForm.append('file', file);
+  transcribeForm.append('temperature', '0.0');
+  transcribeForm.append('temperature_inc', '0.2');
+  transcribeForm.append('response_format', 'text');
+  transcribeForm.append('language', detectedLanguage);
+  if (translated) transcribeForm.append('translate', 'true');
+
+  const res = await fetch(`${base}/inference`, { method: 'POST', body: transcribeForm });
+  if (!res.ok) throw new Error(`Transcription failed (${res.status})`);
+  const text = (await res.text()).trim();
+
+  return { text, detectedLanguage, translated };
+}