Enhance audio processing capabilities: add FFmpeg for audio transcoding, update database schema, and improve UI for audio file uploads

Dockerfile

@@ -2,7 +2,10 @@ FROM python:3.12-slim
 
 WORKDIR /srv/faerro-kb
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+RUN apt-get update \
+	&& apt-get install -y --no-install-recommends ffmpeg \
+	&& rm -rf /var/lib/apt/lists/* \
+	&& pip install --no-cache-dir -r requirements.txt
 COPY app ./app
 COPY frontend ./frontend
 

README.md

@@ -27,21 +27,23 @@ In Safari on iPhone, open the HTTPS address and use **Share > Add to Home Screen
 ## Capture and offline behavior
 
 - Recording data and its timestamp are committed to IndexedDB before upload is attempted.
+- Microphone recordings use the audio format supported by the browser (commonly M4A/AAC on iPhone Safari or Opus/WebM elsewhere). You can also add an audio file from the device; both sources remain queued locally until the server confirms storage.
+- The server keeps each uploaded original and creates a mono PCM WAV copy at 16-bit / 22.05 kHz for transcription. FFmpeg performs this conversion locally in the container. After a non-empty transcript is stored, both audio files are deleted; failed or empty transcriptions keep the audio for recovery.
 - Uploads retry when the app opens, returns to the foreground, or the browser reports a connection. A recording is removed from the phone's queue only after the server confirms it was stored.
 - Service worker caching keeps the app shell available offline. Searching the server-side archive requires a connection.
 - iOS may suspend a PWA and can evict website data under storage pressure. Background uploads are not guaranteed; reopen the PWA while online to resume. Keep the phone powered and avoid clearing Safari website data for stronger practical retention.
 
 ## Local speech-to-text
 
-The API can use a local `whisper.cpp` server when `WHISPER_SERVER_URL` is configured. Audio is sent only to that local endpoint; with the variable unset, uploads remain stored as `awaiting_transcription` and can still be searched after a transcript is edited or populated.
+The API can use a local `whisper.cpp` server when `WHISPER_SERVER_URL` is configured. Audio is sent only to that local endpoint; with the variable unset, uploads remain stored as `awaiting_transcription` until a non-empty transcript is entered and saved. Saving that transcript deletes both server-side audio files.
 
 For NVIDIA GPU transcription, run a CUDA-enabled `whisper.cpp` server with a model on the same machine, then set `WHISPER_SERVER_URL` to its local inference endpoint, for example `http://whisper:8080/inference`. Use a model that fits the RTX 3070's VRAM; start with `small` or a quantized `medium` model and measure with your audio/language. Do not expose the transcription server outside the private Docker network. See the [whisper.cpp NVIDIA instructions](https://github.com/ggml-org/whisper.cpp#nvidia-gpu-support) for CUDA builds.
 
-This version keeps raw audio and transcript separate. A future local correction model can propose punctuation and name fixes without replacing the original transcription. Proper-name matching and offline geolocation data are not enabled yet.
+The transcript remains in SQLite after the audio files are deleted. A future local correction model can propose punctuation and name fixes without replacing the stored transcription. Proper-name matching and offline geolocation data are not enabled yet.
 
 ## Data and backups
 
-Docker persists SQLite metadata in `./data/voice-kb.sqlite3` and original audio in `./data/audio/`. Back up the whole `./data` directory while the service is stopped or use a SQLite-aware backup procedure. Model files should also be stored locally and backed up separately if needed.
+Docker persists SQLite metadata in `./data/voice-kb.sqlite3` and audio awaiting transcription in `./data/audio/`. After a non-empty transcript is saved, its audio files are removed. Back up the whole `./data` directory while the service is stopped or use a SQLite-aware backup procedure. Model files should also be stored locally and backed up separately if needed.
 
 ## Development
 

app/main.py

@@ -1,6 +1,9 @@
+import asyncio
 import os
 import re
 import sqlite3
+import subprocess
+import tempfile
 import uuid
 from datetime import datetime, timezone
 from pathlib import Path
@@ -44,10 +47,26 @@ def initialize_db() -> None:
             """CREATE VIRTUAL TABLE IF NOT EXISTS note_search
                USING fts5(note_id UNINDEXED, transcript)"""
         )
+        columns = {row[1] for row in connection.execute("PRAGMA table_info(notes)")}
+        if "original_audio_path" not in columns:
+            connection.execute("ALTER TABLE notes ADD COLUMN original_audio_path TEXT")
 
 
 initialize_db()
 
+def transcode_audio(source_path: Path, output_path: Path) -> None:
+    subprocess.run(
+        [
+            "ffmpeg", "-nostdin", "-hide_banner", "-loglevel", "error", "-y",
+            "-i", str(source_path), "-vn", "-ac", "1", "-ar", "22050",
+            "-c:a", "pcm_s16le", str(output_path),
+        ],
+        check=True,
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.PIPE,
+        timeout=300,
+    )
+
 
 def update_transcript(note_id: str, transcript: str, status: str) -> None:
     with connect_db() as connection:
@@ -63,6 +82,23 @@ def update_transcript(note_id: str, transcript: str, status: str) -> None:
             )
 
 
+def remove_transcribed_audio(note_id: str) -> None:
+    with connect_db() as connection:
+        note = connection.execute(
+            "SELECT audio_path, original_audio_path FROM notes WHERE id = ?", (note_id,)
+        ).fetchone()
+    if not note:
+        return
+    for audio_path in (note["audio_path"], note["original_audio_path"]):
+        if audio_path:
+            Path(audio_path).unlink(missing_ok=True)
+    with connect_db() as connection:
+        connection.execute(
+            "UPDATE notes SET audio_path = '', original_audio_path = NULL WHERE id = ?",
+            (note_id,),
+        )
+
+
 async def transcribe_note(note_id: str, audio_path: Path) -> None:
     if not WHISPER_SERVER_URL:
         return
@@ -76,9 +112,12 @@ async def transcribe_note(note_id: str, audio_path: Path) -> None:
                 )
             response.raise_for_status()
             transcript = response.json().get("text", "").strip()
-        update_transcript(note_id, transcript, "transcribed" if transcript else "empty_transcript")
     except Exception:
         update_transcript(note_id, "", "transcription_failed")
+        return
+    update_transcript(note_id, transcript, "transcribed" if transcript else "empty_transcript")
+    if transcript:
+        remove_transcribed_audio(note_id)
 
 
 @app.get("/api/health")
@@ -102,15 +141,39 @@ async def create_note(
     if existing:
         return {"id": note_id, "status": existing["status"]}
     suffix = Path(audio.filename or "recording.webm").suffix.lower()
-    if not suffix or len(suffix) > 10:
+    if not re.fullmatch(r"\.[a-z0-9]{1,9}", suffix):
         suffix = ".audio"
-    audio_path = AUDIO_DIR / f"{note_id}{suffix}"
+    original_audio_path = AUDIO_DIR / f"{note_id}-original{suffix}"
+    audio_path = AUDIO_DIR / f"{note_id}.wav"
+    temporary_output = None
     try:
-        with audio_path.open("wb") as destination:
+        with original_audio_path.open("wb") as destination:
             while chunk := await audio.read(1024 * 1024):
                 destination.write(chunk)
+        with tempfile.NamedTemporaryFile(suffix=".wav", dir=AUDIO_DIR, delete=False) as temporary_file:
+            temporary_output = Path(temporary_file.name)
+        await asyncio.to_thread(transcode_audio, original_audio_path, temporary_output)
+        temporary_output.replace(audio_path)
+    except FileNotFoundError as error:
+        original_audio_path.unlink(missing_ok=True)
+        if temporary_output:
+            temporary_output.unlink(missing_ok=True)
+        raise HTTPException(status_code=500, detail="Audio conversion is unavailable") from error
+    except subprocess.CalledProcessError as error:
+        original_audio_path.unlink(missing_ok=True)
+        if temporary_output:
+            temporary_output.unlink(missing_ok=True)
+        raise HTTPException(status_code=400, detail="Unsupported or invalid audio file") from error
+    except subprocess.TimeoutExpired as error:
+        original_audio_path.unlink(missing_ok=True)
+        if temporary_output:
+            temporary_output.unlink(missing_ok=True)
+        raise HTTPException(status_code=422, detail="Audio conversion timed out") from error
     except Exception as error:
+        original_audio_path.unlink(missing_ok=True)
         audio_path.unlink(missing_ok=True)
+        if temporary_output:
+            temporary_output.unlink(missing_ok=True)
         raise HTTPException(status_code=500, detail="Could not store audio") from error
     finally:
         await audio.close()
@@ -126,8 +189,10 @@ async def create_note(
     status = "awaiting_transcription" if not WHISPER_SERVER_URL else "transcribing"
     with connect_db() as connection:
         connection.execute(
-            "INSERT OR IGNORE INTO notes (id, created_at, filename, audio_path, status) VALUES (?, ?, ?, ?, ?)",
-            (note_id, created_at, audio.filename or "recording.audio", str(audio_path), status),
+            """INSERT OR IGNORE INTO notes
+               (id, created_at, filename, audio_path, original_audio_path, status)
+               VALUES (?, ?, ?, ?, ?, ?)""",
+            (note_id, created_at, audio.filename or "recording.audio", str(audio_path), str(original_audio_path), status),
         )
     if WHISPER_SERVER_URL:
         background_tasks.add_task(transcribe_note, note_id, audio_path)
@@ -173,13 +238,16 @@ def list_notes(q: str = "", status: str = "") -> list[dict[str, str]]:
 def delete_note(note_id: str) -> dict[str, str]:
     with connect_db() as connection:
         note = connection.execute(
-            "SELECT audio_path FROM notes WHERE id = ?", (note_id,)
+            "SELECT audio_path, original_audio_path FROM notes WHERE id = ?", (note_id,)
         ).fetchone()
         if not note:
             raise HTTPException(status_code=404, detail="Note not found")
         connection.execute("DELETE FROM note_search WHERE note_id = ?", (note_id,))
         connection.execute("DELETE FROM notes WHERE id = ?", (note_id,))
+    if note["audio_path"]:
         Path(note["audio_path"]).unlink(missing_ok=True)
+    if note["original_audio_path"]:
+        Path(note["original_audio_path"]).unlink(missing_ok=True)
     return {"id": note_id, "status": "deleted"}
 
 
@@ -191,6 +259,8 @@ def save_transcript(note_id: str, payload: dict[str, str]) -> dict[str, str]:
     if not exists:
         raise HTTPException(status_code=404, detail="Note not found")
     update_transcript(note_id, transcript, "transcribed" if transcript else "awaiting_transcription")
+    if transcript:
+        remove_transcribed_audio(note_id)
     return {"id": note_id, "status": "transcribed" if transcript else "awaiting_transcription"}
 
 

docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   faerro-kb:
-    image: gitea.faerro.it/andrea/faerro-kb:0.0.1
+    image: gitea.faerro.it/andrea/faerro-kb:latest
     ports:
       - "${HTTP_PORT:-80}:80"
     environment:

frontend/app.js

@@ -2,7 +2,7 @@ const DB_NAME = 'faerro-kb-local';
 const STORE_NAME = 'recordings';
 const MAX_RECORDING_MS = 30 * 60 * 1000;
 const elements = Object.fromEntries([
-  'record-button', 'record-title', 'record-help', 'record-time', 'record-meter-fill', 'audio-level', 'audio-level-fill', 'capture-message',
+  'record-button', 'record-title', 'record-help', 'record-time', 'record-meter-fill', 'audio-level', 'audio-level-fill', 'capture-message', 'audio-file-input',
   'queue-list', 'queue-empty', 'queue-count', 'sync-button', 'archive-list', 'archive-empty',
   'network-state', 'storage-status',
 ].map((id) => [id, document.getElementById(id)]));
@@ -53,7 +53,9 @@ function updateNetwork() {
   const online = navigator.onLine;
   elements['network-state'].classList.toggle('online', online);
   elements['network-state'].innerHTML = `<i></i>${online ? 'Connected' : 'Offline'}`;
+  if (elements['storage-status']) {
     elements['storage-status'].textContent = online ? 'Pending audio stays here until server confirmation.' : 'Offline: new audio is saved on this device.';
+  }
 }
 
 function formatDuration(milliseconds) {
@@ -170,7 +172,7 @@ async function saveRecording() {
     setMessage('No audio was captured. Please try again.', true);
     return;
   }
-  const extension = blob.type.includes('webm') ? 'webm' : blob.type.includes('ogg') ? 'ogg' : 'm4a';
+  const extension = blob.type.includes('webm') ? 'webm' : blob.type.includes('ogg') ? 'ogg' : blob.type.includes('mp4') ? 'm4a' : 'audio';
   const createdAt = new Date(recordingStartedAt).toISOString();
   const recording = {
     id: crypto.randomUUID(),
@@ -190,6 +192,27 @@ async function saveRecording() {
   }
 }
 
+async function queueAudioFile(file) {
+  const createdAtMs = Date.now();
+  const createdAt = new Date(createdAtMs).toISOString();
+  const recording = {
+    id: crypto.randomUUID(),
+    blob: file,
+    createdAt,
+    filename: file.name,
+    durationMs: 0,
+    createdAtMs,
+  };
+  try {
+    await putQueued(recording);
+    setMessage(navigator.onLine ? 'Audio saved on device. Uploading now…' : 'Audio saved on device. It will upload when you reconnect.');
+    await renderQueue();
+    await syncQueue();
+  } catch {
+    setMessage('Could not save this file in browser storage. Check available device storage and try again.', true);
+  }
+}
+
 async function syncQueue() {
   if (syncing || !navigator.onLine) return;
   syncing = true;
@@ -247,7 +270,7 @@ async function renderQueue() {
     status.textContent = navigator.onLine ? 'WAITING TO SYNC' : 'SAVED OFFLINE';
     const meta = document.createElement('div');
     meta.className = 'item-meta';
-    meta.textContent = `${prettyDate(recording.createdAt)} · ${formatDuration(recording.durationMs)}`;
+    meta.textContent = `${prettyDate(recording.createdAt)}${recording.durationMs ? ` · ${formatDuration(recording.durationMs)}` : ''}`;
     const remove = createDeleteButton(`Delete queued note ${recording.filename}`);
     remove.disabled = syncing;
     remove.addEventListener('click', async () => {
@@ -355,6 +378,12 @@ async function loadAwaitingNotes() {
 }
 
 elements['record-button'].addEventListener('click', () => mediaRecorder?.state === 'recording' ? stopRecording() : startRecording());
+elements['audio-file-input'].addEventListener('change', async (event) => {
+  const [file] = event.target.files;
+  if (file) await queueAudioFile(file);
+  event.target.value = '';
+});
+elements['sync-button'].addEventListener('click', syncQueue);
 elements['sync-button'].addEventListener('click', syncQueue);
 window.addEventListener('online', () => { updateNetwork(); syncQueue(); loadAwaitingNotes(); });
 window.addEventListener('offline', updateNetwork);

frontend/favicon.svg

@@ -1,4 +1,4 @@
 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
   <circle cx="32" cy="32" r="32" fill="#355a43" />
-  <text x="32" y="45" fill="#fffefa" font-family="Georgia, serif" font-size="28" text-anchor="middle">KB</text>
+  <text x="32" y="43" fill="#fff" font-family="Iowan Old Style, Palatino Linotype, Book Antiqua, Georgia, serif" font-size="34" font-weight="500" text-anchor="middle">KB</text>
 </svg>

frontend/index.html

@@ -13,7 +13,7 @@
   </head>
   <body>
     <header class="topbar">
-      <a class="brand" href="/" aria-label="Faerro KB"><span class="brand-mark">V</span><span>Faerro <b>KB</b></span></a>
+      <a class="brand" href="/" aria-label="Faerro KB"><span class="brand-mark">KB</span><span>Faerro <b>KB</b></span></a>
       <span id="network-state" class="network-state"><i></i> Checking</span>
     </header>
 
@@ -32,6 +32,11 @@
           </div>
           <time id="record-time">00:00</time>
         </div>
+        <div class="audio-upload-row">
+          <label class="audio-upload-button" for="audio-file-input">↑ Upload audio</label>
+          <input id="audio-file-input" type="file" accept="audio/*,.mp3,.m4a,.aac,.ogg,.opus,.flac,.wav" />
+          <span>Files stay on this device until the server confirms storage.</span>
+        </div>
         <div class="record-meter"><span id="record-meter-fill"></span></div>
         <div id="capture-message" class="capture-message" role="status"></div>
       </section>

frontend/styles.css

@@ -18,7 +18,7 @@ body { margin: 0; background: var(--paper); color: var(--ink); font-family: var(
 .topbar { height: 68px; padding: 0 max(24px, calc((100vw - 1040px) / 2)); border-bottom: 1px solid var(--line); display: flex; align-items: center; justify-content: space-between; }
 .brand { display: flex; align-items: center; gap: 10px; text-decoration: none; color: var(--ink); font-size: 15px; font-weight: 600; }
 .brand b { color: var(--moss); }
-.brand-mark { width: 28px; height: 28px; border-radius: 50%; background: var(--moss-dark); color: #fff; display: grid; place-items: center; font: 500 15px var(--serif); }
+.brand-mark { width: 28px; height: 28px; flex: 0 0 auto; border-radius: 50%; background: var(--moss-dark); color: #fff; display: grid; place-items: center; font: 500 15px var(--serif); }
 .network-state { font: 11px var(--mono); color: var(--muted); display: flex; align-items: center; gap: 8px; }
 .network-state i { width: 7px; height: 7px; border-radius: 50%; background: var(--coral); }
 .network-state.online i { background: #57986b; }
@@ -44,6 +44,11 @@ h1 em { color: var(--moss); font-weight: 500; }
 .record-meter { height: 2px; max-width: 590px; margin-inline: auto; background: #e4e3dc; }
 .record-meter span { display: block; height: 100%; width: 0; background: var(--coral); transition: width .25s linear; }
 .capture-message { height: 20px; max-width: 590px; margin-inline: auto; padding-top: 6px; color: var(--muted); font-size: 11px; text-align: center; }
+.audio-upload-row { max-width: 590px; margin: 14px auto 0; display: flex; align-items: center; justify-content: center; gap: 12px; }
+.audio-upload-button { display: inline-flex; min-height: 36px; align-items: center; gap: 7px; border: 1px solid var(--line); padding: 0 12px; color: var(--moss-dark); background: #fffefa; font-size: 12px; cursor: pointer; }
+.audio-upload-button:hover { border-color: var(--moss); }
+#audio-file-input { position: absolute; width: 1px; height: 1px; overflow: hidden; clip: rect(0, 0, 0, 0); white-space: nowrap; clip-path: inset(50%); }
+.audio-upload-row > span { color: var(--muted); font-size: 10px; }
 .queue-section, .archive-section { padding: 30px 0 34px; border-bottom: 1px solid var(--line); }
 .section-heading { position: relative; display: flex; align-items: center; justify-content: center; gap: 18px; text-align: center; }
 .section-heading .section-kicker { justify-content: center; }
@@ -80,6 +85,7 @@ footer { max-width: 1040px; margin: auto; padding: 18px 24px calc(18px + env(saf
   .record-button { width: 46px; height: 46px; }
   .record-copy strong { font-size: 12px; }
   .record-copy span { font-size: 10px; }
+  .audio-upload-row { align-items: flex-start; flex-direction: column; }
   h2 { font-size: 23px; }
   .archive-date { width: 60px; font-size: 9px; }
   footer { padding-left: 18px; padding-right: 18px; font-size: 8px; }