diff --git a/CHANGELOG.md b/CHANGELOG.md
index c530b0986..5abdf4ef5 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
+- Added new `SkipTagsAggregator` that extends `BaseTextAggregator` to aggregate
+  text and skips end of sentence matching if aggregated text is between
+  start/end tags.
+
 - Added new `PatternPairAggregator` that extends `BaseTextAggregator` to
   identify content between matching pattern pairs in streamed text. This allows
   for detection and processing of structured content like XML-style tags that
diff --git a/src/pipecat/utils/text/skip_tags_aggregator.py b/src/pipecat/utils/text/skip_tags_aggregator.py
new file mode 100644
index 000000000..00129028e
--- /dev/null
+++ b/src/pipecat/utils/text/skip_tags_aggregator.py
@@ -0,0 +1,94 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+from typing import Optional, Sequence
+
+from pipecat.utils.string import StartEndTags, match_endofsentence, parse_start_end_tags
+from pipecat.utils.text.base_text_aggregator import BaseTextAggregator
+
+
+class SkipTagsAggregator(BaseTextAggregator):
+    """Aggregator that prevents end of sentence matching between start/end tags.
+
+    This aggregator buffers text until it finds an end of sentence or a start
+    tag. If a start tag is found the aggregator will keep aggregating text
+    unconditionally until the corresponding end tag is found. It's particularly
+    useful for processing content with custom delimiters that should prevent
+    text from being considered for end of sentence matching..
+
+    The aggregator ensures that tags spanning multiple text chunks are correctly
+    identified.
+
+    """
+
+    def __init__(self, tags: Sequence[StartEndTags]):
+        """Initialize the pattern pair aggregator.
+
+        Creates an empty aggregator with no patterns or handlers registered.
+        """
+        self._text = ""
+        self._tags = tags
+        self._current_tag: Optional[StartEndTags] = None
+        self._current_tag_index: int = 0
+
+    @property
+    def text(self) -> str:
+        """Get the currently buffered text.
+
+        Returns:
+            The current text buffer content.
+        """
+        return self._text
+
+    def aggregate(self, text: str) -> Optional[str]:
+        """Aggregate text and process pattern pairs.
+
+        This method adds the new text to the buffer, processes any complete pattern
+        pairs, and returns processed text up to sentence boundaries if possible.
+        If there are incomplete patterns (start without matching end), it will
+        continue buffering text.
+
+        Args:
+            text: New text to add to the buffer.
+
+        Returns:
+            Processed text up to a sentence boundary, or None if more
+            text is needed to form a complete sentence or pattern.
+        """
+        # Add new text to buffer
+        self._text += text
+
+        (self._current_tag, self._current_tag_index) = parse_start_end_tags(
+            self._text, self._tags, self._current_tag, self._current_tag_index
+        )
+
+        # Find sentence boundary if no incomplete patterns
+        if not self._current_tag:
+            eos_marker = match_endofsentence(self._text)
+            if eos_marker:
+                # Extract text up to the sentence boundary
+                result = self._text[:eos_marker]
+                self._text = self._text[eos_marker:]
+                return result
+
+        # No complete sentence found yet
+        return None
+
+    def handle_interruption(self):
+        """Handle interruptions by clearing the buffer.
+
+        Called when an interruption occurs in the processing pipeline,
+        to reset the state and discard any partially aggregated text.
+        """
+        self._text = ""
+
+    def reset(self):
+        """Clear the internally aggregated text.
+
+        Resets the aggregator to its initial state, discarding any
+        buffered text.
+        """
+        self._text = ""
diff --git a/tests/test_skip_tags_aggregator.py b/tests/test_skip_tags_aggregator.py
new file mode 100644
index 000000000..8f36c4c05
--- /dev/null
+++ b/tests/test_skip_tags_aggregator.py
@@ -0,0 +1,54 @@
+#
+# Copyright (c) 2024-2025 Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import unittest
+
+from pipecat.utils.text.skip_tags_aggregator import SkipTagsAggregator
+
+
+class TestSkipTagsAggregator(unittest.IsolatedAsyncioTestCase):
+    def setUp(self):
+        self.aggregator = SkipTagsAggregator([("<spell>", "</spell>")])
+
+    async def test_no_tags(self):
+        self.aggregator.reset()
+
+        # No tags involved, aggregate at end of sentence.
+        result = self.aggregator.aggregate("Hello Pipecat!")
+        self.assertEqual(result, "Hello Pipecat!")
+        self.assertEqual(self.aggregator.text, "")
+
+    async def test_basic_tags(self):
+        self.aggregator.reset()
+
+        # Tags involved, avoid aggregation during tags.
+        result = self.aggregator.aggregate("My email is <spell>foo@pipecat.ai</spell>.")
+        self.assertEqual(result, "My email is <spell>foo@pipecat.ai</spell>.")
+        self.assertEqual(self.aggregator.text, "")
+
+    async def test_streaming_tags(self):
+        self.aggregator.reset()
+
+        # Tags involved, stream small chunk of texts.
+        result = self.aggregator.aggregate("My email is <sp")
+        self.assertIsNone(result)
+        self.assertEqual(self.aggregator.text, "My email is <sp")
+
+        result = self.aggregator.aggregate("ell>foo.")
+        self.assertIsNone(result)
+        self.assertEqual(self.aggregator.text, "My email is <spell>foo.")
+
+        result = self.aggregator.aggregate("bar@pipecat.")
+        self.assertIsNone(result)
+        self.assertEqual(self.aggregator.text, "My email is <spell>foo.bar@pipecat.")
+
+        result = self.aggregator.aggregate("ai</spe")
+        self.assertIsNone(result)
+        self.assertEqual(self.aggregator.text, "My email is <spell>foo.bar@pipecat.ai</spe")
+
+        result = self.aggregator.aggregate("ll>.")
+        self.assertEqual(result, "My email is <spell>foo.bar@pipecat.ai</spell>.")
+        self.assertEqual(self.aggregator.text, "")