diff --git a/scripts/analyze.py b/scripts/analyze.py
index 70eb0a8..ef22e01 100644
--- a/scripts/analyze.py
+++ b/scripts/analyze.py
@@ -575,29 +575,286 @@ Output ONLY the JSON object."""
         return None
 
 
+def transcribe_with_soniox(audio_path, lang=None, filename_hint=None):
+    """Soniox stt-async-v4 audio transcription — primary STT.
+    
+    Prednosti:
+    - Najboljša natančnost za 60+ jezikov vključno s slovenščino
+    - Brezhibno za narodno-zabavno glasbo (Avsenik, Modrijani, itd.)
+    - Word-level timestamps + punctuation + diakritike
+    - $0.10/h ($0.005 za 3-min pesem) - 4x cenejši kot Scribe
+    - 4-13s za 180s audio (5x hitrejši kot Scribe)
+    """
+    import urllib.request
+    import urllib.error
+    
+    api_key = os.environ.get("SONIOX_API_KEY")
+    if not api_key:
+        print(f"   ❌ SONIOX_API_KEY missing", file=sys.stderr)
+        return None
+    
+    BASE = "https://api.soniox.com"
+    print(f"🎤 Soniox stt-async-v4 transcribing {audio_path}...", file=sys.stderr)
+    
+    file_id = None
+    trans_id = None
+    
+    def api_call(method, path, **kwargs):
+        headers = kwargs.pop('headers', {})
+        headers['Authorization'] = f'Bearer {api_key}'
+        data = kwargs.get('data')
+        if isinstance(data, dict):
+            data = json.dumps(data).encode()
+            headers['Content-Type'] = 'application/json'
+        req = urllib.request.Request(f"{BASE}{path}", data=data, headers=headers, method=method)
+        with urllib.request.urlopen(req, timeout=120) as resp:
+            content = resp.read().decode()
+            return json.loads(content) if content else {}
+    
+    try:
+        # 1. Upload file (multipart)
+        boundary = "----WebKitFormBoundary7MA4YWxkTrZu0gW"
+        with open(audio_path, 'rb') as f:
+            audio_bytes = f.read()
+        body = b''.join([
+            f"--{boundary}\r\n".encode(),
+            b'Content-Disposition: form-data; name="file"; filename="audio.mp3"\r\n',
+            b'Content-Type: audio/mpeg\r\n\r\n',
+            audio_bytes,
+            f"\r\n--{boundary}--\r\n".encode()
+        ])
+        req = urllib.request.Request(
+            f"{BASE}/v1/files",
+            data=body,
+            headers={
+                'Authorization': f'Bearer {api_key}',
+                'Content-Type': f'multipart/form-data; boundary={boundary}',
+            },
+            method='POST'
+        )
+        with urllib.request.urlopen(req, timeout=120) as resp:
+            file_data = json.loads(resp.read().decode())
+        file_id = file_data['id']
+        size_mb = len(audio_bytes) / 1024 / 1024
+        print(f"   ✓ Uploaded {size_mb:.1f}MB → file_id={file_id}", file=sys.stderr)
+        
+        # 2. Create transcription
+        config = {
+            "model": "stt-async-v4",
+            "file_id": file_id,
+            "enable_language_identification": True,
+        }
+        # Language hints — prepoznaj jezik iz filename ali parametra
+        if lang:
+            config["language_hints"] = [lang]
+        else:
+            # Auto-detect iz filename
+            fn_lower = (filename_hint or "").lower()
+            if any(k in fn_lower for k in ["ansambel", "avsenik", "fehtar", "modrijan", "polka", "valček", "slovensk"]):
+                config["language_hints"] = ["sl"]
+            else:
+                # Multilingual default - top svetovni
+                config["language_hints"] = ["en", "sl", "de", "hr", "es", "fr", "it"]
+        
+        trans_data = api_call("POST", "/v1/transcriptions", data=config)
+        trans_id = trans_data['id']
+        print(f"   ✓ Transcription started: {trans_id}", file=sys.stderr)
+        
+        # 3. Poll status
+        t0 = time.time()
+        while True:
+            status_data = api_call("GET", f"/v1/transcriptions/{trans_id}")
+            status = status_data.get('status', 'unknown')
+            elapsed = time.time() - t0
+            if status == "completed":
+                print(f"   ✓ Completed in {elapsed:.0f}s", file=sys.stderr)
+                break
+            if status == "error":
+                print(f"   ❌ Soniox error: {status_data.get('error_message', '?')}", file=sys.stderr)
+                return None
+            if elapsed > 180:
+                print(f"   ⚠️ Timeout (180s)", file=sys.stderr)
+                return None
+            time.sleep(2)
+        
+        # 4. Get transcript
+        transcript_data = api_call("GET", f"/v1/transcriptions/{trans_id}/transcript")
+        
+        # Convert Soniox format → naš standard format (segments + words)
+        tokens = transcript_data.get('tokens', [])
+        if not tokens:
+            print(f"   ❌ Empty transcript", file=sys.stderr)
+            return None
+        
+        # Group tokens into words (Soniox vrača subwords; "Del" + " neb" + "a" = "Del neba")
+        # Soniox token ima text in start_ms/end_ms. Beseda začne kjer ima text začetni space ali je prvi.
+        words = []
+        current_word = None
+        for tok in tokens:
+            text = tok.get('text', '')
+            start_s = tok.get('start_ms', 0) / 1000
+            end_s = tok.get('end_ms', 0) / 1000
+            # Token, ki začne z space ali je <end>/special, je nova beseda
+            if text.startswith(' ') or text in ('<end>', '<fin>'):
+                if current_word and current_word['text'].strip():
+                    words.append(current_word)
+                if text in ('<end>', '<fin>'):
+                    current_word = None
+                    continue
+                current_word = {'text': text, 'start': start_s, 'end': end_s, 'language': tok.get('language', lang or 'sl')}
+            else:
+                if current_word is None:
+                    current_word = {'text': text, 'start': start_s, 'end': end_s, 'language': tok.get('language', lang or 'sl')}
+                else:
+                    # Append k current_word
+                    current_word['text'] += text
+                    current_word['end'] = end_s
+        if current_word and current_word['text'].strip():
+            words.append(current_word)
+        
+        # Group words into segments (po pavzah > 0.6s)
+        segments = []
+        if words:
+            current_seg = {'start': words[0]['start'], 'end': words[0]['end'],
+                          'text': words[0]['text'].strip(),
+                          'words': [{'start': words[0]['start'], 'end': words[0]['end'], 'text': words[0]['text'].strip()}]}
+            
+            for w in words[1:]:
+                gap = w['start'] - current_seg['end']
+                if gap > 0.6 and len(current_seg['words']) >= 3:
+                    segments.append(current_seg)
+                    current_seg = {'start': w['start'], 'end': w['end'],
+                                  'text': w['text'].strip(),
+                                  'words': [{'start': w['start'], 'end': w['end'], 'text': w['text'].strip()}]}
+                else:
+                    current_seg['end'] = w['end']
+                    current_seg['text'] = (current_seg['text'] + ' ' + w['text'].strip()).strip()
+                    current_seg['words'].append({'start': w['start'], 'end': w['end'], 'text': w['text'].strip()})
+            segments.append(current_seg)
+        
+        # Detected language
+        detected_lang = lang or 'sl'
+        if tokens:
+            # Get most common language from tokens
+            lang_counts = {}
+            for tok in tokens:
+                tl = tok.get('language')
+                if tl:
+                    lang_counts[tl] = lang_counts.get(tl, 0) + 1
+            if lang_counts:
+                detected_lang = max(lang_counts, key=lang_counts.get)
+        
+        # Compute coverage stats (compatible z ostalimi providerji)
+        total_dur = max((s['end'] for s in segments), default=0)
+        coverage = sum(s['end'] - s['start'] for s in segments)
+        coverage_pct = (coverage / total_dur * 100) if total_dur else 0
+        
+        total_words = sum(len(s.get('words', [])) for s in segments)
+        full_text = transcript_data.get('text', '')
+        print(f"   ✅ Soniox: {total_words} words → {len(segments)} segments, "
+              f"lang={detected_lang}, coverage={coverage_pct:.0f}%", file=sys.stderr)
+        print(f"   📝 First 200 chars: {full_text[:200]!r}", file=sys.stderr)
+        
+        return {
+            "language": detected_lang,
+            "language_probability": 0.95,
+            "segments": segments,
+            "_provider": "soniox",
+            "_hallucination_count": 0,  # Soniox redko halucinarala
+            "_coverage_pct": coverage_pct,
+        }
+    
+    except urllib.error.HTTPError as e:
+        err_body = e.read().decode()[:500] if hasattr(e, 'read') else ''
+        print(f"   ❌ Soniox HTTP {e.code}: {err_body}", file=sys.stderr)
+        return None
+    except Exception as e:
+        print(f"   ❌ Soniox exception: {e}", file=sys.stderr)
+        import traceback
+        traceback.print_exc(file=sys.stderr)
+        return None
+    finally:
+        # Cleanup — pošlji DELETE ampak ne preverjaj response (Soniox returns empty body)
+        for path in ([f"/v1/transcriptions/{trans_id}"] if trans_id else []) + ([f"/v1/files/{file_id}"] if file_id else []):
+            try:
+                req = urllib.request.Request(f"{BASE}{path}",
+                    headers={'Authorization': f'Bearer {api_key}'}, method='DELETE')
+                urllib.request.urlopen(req, timeout=10)
+            except Exception:
+                pass
+
+
 def transcribe_full(audio_path, lang=None, model_size="small", provider="auto", filename_hint=None):
-    """Whisper/Scribe transcript dispatcher z hybrid fallback.
+    """STT dispatcher — Soniox primary z fallback chain.
     
     provider:
-      - "elevenlabs" → samo Scribe (z auto-retry)
-      - "gemini"     → samo Gemini 3 Pro
+      - "soniox"     → Soniox stt-async-v4 (najboljši, $0.10/h, 5-15s)
+      - "elevenlabs" → ElevenLabs Scribe ($0.40/h, 8-15s)
+      - "gemini"     → Gemini 3 Pro ($3-5/h, 100-200s, najbolj točen za music)
       - "local"      → faster-whisper na CPU
-      - "hybrid"     → Scribe primary, Gemini fallback ob halucinaciji
-      - "auto"       → hybrid (Scribe + Gemini fallback) če oba API key dostopna
-    
-    filename_hint: ime datoteke (uporablja za auto-detect jezika če lang=None)
+      - "auto"       → Soniox primary, Scribe fallback, Gemini fallback ob halucinaciji
     """
+    has_soniox = bool(os.environ.get("SONIOX_API_KEY"))
     has_scribe = bool(os.environ.get("ELEVENLABS_API_KEY"))
     has_gemini = bool(os.environ.get("GEMINI_API_KEY"))
     
-    # Resolve "auto" → "hybrid" če oba API ključa, sicer "elevenlabs"
-    if provider == "auto":
-        provider = "hybrid" if (has_scribe and has_gemini) else ("elevenlabs" if has_scribe else "local")
+    # Resolve "auto" → "soniox" če key, sicer fallback chain
+    if provider in ("auto", "hybrid"):
+        if has_soniox:
+            provider = "soniox_chain"  # Soniox primary + fallbacks
+        elif has_scribe and has_gemini:
+            provider = "hybrid"  # legacy hybrid
+        elif has_scribe:
+            provider = "elevenlabs"
+        else:
+            provider = "local"
     
-    # ─── HYBRID: Scribe primary, Gemini fallback ───
+    # ─── SONIOX CHAIN: Soniox primary, Scribe/Gemini fallback ───
+    if provider == "soniox_chain":
+        print(f"🎯 Provider chain: Soniox → Scribe → Gemini", file=sys.stderr)
+        result = transcribe_with_soniox(audio_path, lang=lang, filename_hint=filename_hint)
+        
+        if result and result.get("segments"):
+            cov = result.get("_coverage_pct", 100)
+            hall = result.get("_hallucination_count", 0)
+            if cov >= 50 and hall == 0:
+                return result
+            print(f"   ⚠️ Soniox sumljiv (coverage {cov:.0f}%, hall {hall}) — try fallback", file=sys.stderr)
+        else:
+            print(f"   ❌ Soniox failed → fallback", file=sys.stderr)
+        
+        # Fallback 1: Scribe
+        if has_scribe:
+            print(f"   🔄 Fallback to Scribe...", file=sys.stderr)
+            result2 = transcribe_with_elevenlabs(audio_path, lang=lang, filename_hint=filename_hint)
+            if result2 and result2.get("segments"):
+                cov = result2.get("_coverage_pct", 100)
+                hall = result2.get("_hallucination_count", 0)
+                if cov >= 50 and hall == 0:
+                    return result2
+                # ohrani za primerjavo
+                result = result2 if not result else result
+        
+        # Fallback 2: Gemini (samo če sve doslej slabe)
+        if has_gemini:
+            print(f"   🔄 Fallback to Gemini 3 Pro (last resort)...", file=sys.stderr)
+            result3 = transcribe_with_gemini(audio_path, lang=lang, filename_hint=filename_hint)
+            if result3 and result3.get("segments"):
+                return result3
+        
+        # Vrni karkoli imamo
+        return result or {"language": "unknown", "language_probability": 0.0, "segments": []}
+    
+    # ─── SONIOX ONLY ───
+    if provider == "soniox":
+        if not has_soniox:
+            return {"language": "unknown", "language_probability": 0.0, "segments": []}
+        result = transcribe_with_soniox(audio_path, lang=lang, filename_hint=filename_hint)
+        return result or {"language": "unknown", "language_probability": 0.0, "segments": []}
+    
+    # ─── HYBRID (legacy): Scribe primary, Gemini fallback ───
     if provider == "hybrid":
         if not has_scribe:
-            print(f"   ⚠️ Hybrid mode but ELEVENLABS_API_KEY missing — switching to gemini", file=sys.stderr)
             provider = "gemini"
         else:
             # Try Scribe first
@@ -1588,9 +1845,12 @@ def main():
     ap.add_argument("--filename-hint", default=None,
                     help="Originalno ime datoteke (Claude lahko prepozna pesem)")
     ap.add_argument("--whisper-provider", default="auto",
-                    choices=["auto", "elevenlabs", "local"],
-                    help="STT provider: elevenlabs=ElevenLabs Scribe (najboljša kvaliteta, $0.40/h), "
-                         "local=faster-whisper CPU (brezplačno, halucinacije), auto=Scribe če key, sicer local")
+                    choices=["auto", "soniox", "elevenlabs", "local", "hybrid", "gemini"],
+                    help="STT provider: "
+                         "soniox=Soniox stt-async-v4 ($0.10/h, 5-15s, najboljši za NZ, PRIPOROČENO), "
+                         "elevenlabs=Scribe ($0.40/h, halucinacije pri NZ), "
+                         "gemini=Gemini 3 Pro ($3-5/h, počasen), "
+                         "auto=Soniox primary + fallback chain (PRIVZETO)")
     ap.add_argument("--json", action="store_true", help="Output JSON")
     ap.add_argument("--output", help="Path za JSON output")
     args = ap.parse_args()