diff --git a/src/openparse/processing/semantic_transforms.py b/src/openparse/processing/semantic_transforms.py
index 8369035..6af867c 100644
--- a/src/openparse/processing/semantic_transforms.py
+++ b/src/openparse/processing/semantic_transforms.py
@@ -37,27 +37,26 @@ def __init__(
         self.batch_size = batch_size
         self.client = self._create_client()
 
-    def embed_many(self, texts: List[str]) -> List[List[float]]:
-        """
-        Generate embeddings for a list of texts in batches.
-
-        Args:
-            texts (list[str]): The list of texts to embed.
-            batch_size (int): The number of texts to process in each batch.
-
-        Returns:
-            List[List[float]]: A list of embeddings.
-        """
+    def embed_many(self, texts: list[str]) -> list[list[float]]:
         res = []
-        for i in range(0, len(texts), self.batch_size):
-            batch_texts = texts[i : i + self.batch_size]
+        non_empty_texts = [text for text in texts if text]
+
+        embedding_size = 1
+        for i in range(0, len(non_empty_texts), self.batch_size):
+            batch_texts = non_empty_texts[i : i + self.batch_size]
             api_resp = self.client.embeddings.create(
                 input=batch_texts, model=self.model
             )
             batch_res = [val.embedding for val in api_resp.data]
             res.extend(batch_res)
+            embedding_size = len(batch_res[0])
+
+        # Map results back to original indices, adding zero embeddings for empty texts
+        final_res = [
+            [0.0] * embedding_size if not text else res.pop(0) for text in texts
+        ]
 
-        return res
+        return final_res
 
     def _create_client(self):
         try: