diff --git a/src/dbas/firebase_migrations/translate.py b/src/dbas/firebase_migrations/translate.py
index b458ac54d..75b932353 100644
--- a/src/dbas/firebase_migrations/translate.py
+++ b/src/dbas/firebase_migrations/translate.py
@@ -6,6 +6,7 @@
 # Download the Punkt tokenizer models to split scentances
 nltk.download('punkt')
 from nltk.tokenize import sent_tokenize
+import re
 
 # Max characters that can be translated at a time
 MAX_CHARS = 4900
@@ -42,6 +43,8 @@ def translate_text(text, dest_language='en'):
     if temp_text:
         try:
             translated_text += translator.translate(temp_text, dest=dest_language).text
+            translated_text = re.sub(r"\.([A-Z])", r". \1", translated_text)  # Ensure single space after period before uppercase letter
+            translated_text = re.sub(r'(?<=\d)\s*\.\s*(?=\d)', '.', translated_text)  # remove spaces inbetween " 4. 0 gram" for example
         except Exception as e:
             print(f"Error translating text: {str(e)}")
     
diff --git a/src/dbas/translate.py b/src/dbas/translate.py
index ca5cc6799..04b64ccd4 100644
--- a/src/dbas/translate.py
+++ b/src/dbas/translate.py
@@ -1,4 +1,3 @@
-
 # pip install googletrans==4.0.0-rc1 nltk
 from googletrans import Translator
 import nltk
@@ -28,6 +27,8 @@ def translate_text(text, dest_language='en'):
         else:
             # Translate the accumulated text
             translated_text += translator.translate(temp_text, dest=dest_language).text + " "
+            translated_text = translated_text.replace('. ', '.').replace('.', '. ')
+    
             
             # Start accumulating sentences again
             temp_text = sentence