diff --git a/src/subsai/models/whisperX_model.py b/src/subsai/models/whisperX_model.py
index 8c03c0c..4b910ae 100644
--- a/src/subsai/models/whisperX_model.py
+++ b/src/subsai/models/whisperX_model.py
@@ -16,7 +16,7 @@
 import whisperx
 from subsai.utils import _load_config, get_available_devices
 import gc
-
+from pysubs2 import SSAFile, SSAEvent
 
 class WhisperXModel(AbstractModel):
     model_name = 'm-bain/whisperX'
@@ -54,6 +54,13 @@ class WhisperXModel(AbstractModel):
             'options': None,
             'default': None
         },
+        'segment_type': {
+            'type': list,
+            'description': "Word-level timestamps, "
+                           "Choose here between sentence-level and word-level",
+            'options': ['sentence', 'word'],
+            'default': 'sentence'
+        },
         # transcribe config
         'batch_size': {
             'type': int,
@@ -103,6 +110,7 @@ def __init__(self, model_config):
         self.compute_type = _load_config('compute_type', model_config, self.config_schema)
         self.download_root = _load_config('download_root', model_config, self.config_schema)
         self.language = _load_config('language', model_config, self.config_schema)
+        self.segment_type = _load_config('segment_type', model_config, self.config_schema)
         # transcribe config
         self.batch_size = _load_config('batch_size', model_config, self.config_schema)
         self.return_char_alignments = _load_config('return_char_alignments', model_config, self.config_schema)
@@ -130,7 +138,22 @@ def transcribe(self, media_file) -> str:
             result = whisperx.assign_word_speakers(diarize_segments, result)
             self._clear_gpu()
             del diarize_model
-        subs = pysubs2.load_from_whisper(result)
+
+        subs = SSAFile()
+        if self.segment_type == 'word':  # word level timestamps
+            for segment in result['segments']:
+                for word in segment['words']:
+                    event = SSAEvent(start=pysubs2.make_time(s=word["start"]), end=pysubs2.make_time(s=word["end"]))
+                    event.plaintext = word["word"].strip()
+                    subs.append(event)
+        elif self.segment_type == 'sentence':
+            for segment in result['segments']:
+                event = SSAEvent(start=pysubs2.make_time(s=segment["start"]), end=pysubs2.make_time(s=segment["end"]))
+                event.plaintext = segment["text"].strip()
+                subs.append(event)
+        else:
+            raise Exception(f'Unknown `segment_type` value, it should be one of the following: '
+                            f' {self.config_schema["segment_type"]["options"]}')
         return subs
 
     def _clear_gpu(self):