diff --git a/python/voice_to_notes/services/diarize.py b/python/voice_to_notes/services/diarize.py
index 0f8691a..49a88b9 100644
--- a/python/voice_to_notes/services/diarize.py
+++ b/python/voice_to_notes/services/diarize.py
@@ -41,20 +41,34 @@ def _patch_pyannote_audio() -> None:
         import torch
         from pyannote.audio.core.io import Audio
 
-        def _soundfile_call(self: Audio, file: dict) -> tuple:
-            """Load audio via soundfile (bypasses torchaudio/torchcodec entirely)."""
-            audio_path = str(file["audio"])
-            data, sample_rate = sf.read(audio_path, dtype="float32")
-            # soundfile returns (samples,) for mono, (samples, channels) for stereo
-            # pyannote expects (channels, samples) torch tensor
+        def _sf_load(audio_path: str) -> tuple:
+            """Load audio via soundfile, return (channels, samples) tensor + sample_rate."""
+            data, sample_rate = sf.read(str(audio_path), dtype="float32")
             waveform = torch.from_numpy(np.array(data))
             if waveform.ndim == 1:
-                waveform = waveform.unsqueeze(0)  # (samples,) -> (1, samples)
+                waveform = waveform.unsqueeze(0)
             else:
-                waveform = waveform.T  # (samples, channels) -> (channels, samples)
+                waveform = waveform.T
             return waveform, sample_rate
 
+        def _soundfile_call(self, file: dict) -> tuple:
+            """Replacement for Audio.__call__."""
+            return _sf_load(file["audio"])
+
+        def _soundfile_crop(self, file: dict, segment, **kwargs) -> tuple:
+            """Replacement for Audio.crop — load full file then slice."""
+            waveform, sample_rate = _sf_load(file["audio"])
+            # Convert segment (seconds) to sample indices
+            start_sample = int(segment.start * sample_rate)
+            end_sample = int(segment.end * sample_rate)
+            # Clamp to bounds
+            start_sample = max(0, start_sample)
+            end_sample = min(waveform.shape[-1], end_sample)
+            cropped = waveform[:, start_sample:end_sample]
+            return cropped, sample_rate
+
         Audio.__call__ = _soundfile_call  # type: ignore[assignment]
+        Audio.crop = _soundfile_crop  # type: ignore[assignment]
         print("[sidecar] Patched pyannote Audio to use soundfile", file=sys.stderr, flush=True)
     except Exception as e:
         print(f"[sidecar] Warning: Could not patch pyannote Audio: {e}", file=sys.stderr, flush=True)