diff --git a/fugashi_parser.py b/fugashi_parser.py
index 5ccca21..15df21c 100644
--- a/fugashi_parser.py
+++ b/fugashi_parser.py
@@ -7,6 +7,7 @@ import argparse
 import html
 import json
 import os
+from pathlib import Path
 import re
 import sys
 from dataclasses import dataclass, asdict
@@ -360,3 +361,25 @@ def analyze(text: str, vocab: Dict[str, Dict]):
         "token_readings": [asdict(t) for t in tokens],
         "predicate_chunks" : predicate_chunks,
     }
+
+def write_word_note(word: str, destination_dir: Path):
+    if Path(destination_dir.joinpath('/' + word + '.md')).exists() == False:
+        definitions = anki_fields_term(word)
+        if definitions.get("fields"):
+            with open(destination_dir.as_posix() + '/' + word + '.md', 'w') as vocab_note:
+                for entry in definitions.get("fields"):
+                    #vocab_note.write("\n")
+                    #print(entry['expression'], file=vocab_note)
+                    #print(entry['furigana-plain'], file=vocab_note)
+                    print(entry['furigana'], file=vocab_note)
+                    if entry['expression'] != entry['reading']:
+                        print(entry['reading'], file=vocab_note)
+                    print("> ",re.sub(r'<.*?>', '', entry['glossary-plain-no-dictionary']), "\n", file=vocab_note)
+                    #print(f"Part of Speech: {entry['part-of-speech']}", file=vocab_note)
+                    print(f"Frequency: {entry['frequency-average-rank']}", file=vocab_note)
+                    #print(entry['glossary-plain-no-dictionary'], file=vocab_note)
+                    vocab_note.write(entry['glossary-first'])
+                    #print("##### Other Definitions", file=vocab_note)
+                    print("\n", file=vocab_note)
+
+
diff --git a/process_markdown.py b/process_markdown.py
index 3838a0b..498ad36 100644
--- a/process_markdown.py
+++ b/process_markdown.py
@@ -5,16 +5,23 @@ from pathlib import Path
 import shutil
 import hashlib
 
-
 def main():
     parser = argparse.ArgumentParser()
     #parser.add_argument("--vocab-file", required=True)
     parser.add_argument("--markdown-file", required=True)
+    parser.add_argument("--vocab-folder", required=False)
     args = parser.parse_args()
 
-    destination_path = Path(args.markdown_file).parent
-    if not destination_path.joinpath('vocab').exists():
-        destination_path.joinpath('vocab').mkdir(parents=True, exist_ok=True)
+    if args.vocab_folder:
+        destination_path = Path(args.vocab_folder)
+        if destination_path.is_dir() == False:
+            raise ValueError("Vocab Folder is not a directory.")
+            return
+    else:
+        destination_path = Path(args.markdown_file).parent
+        if not destination_path.joinpath('vocab').exists():
+            destination_path.joinpath('vocab').mkdir(parents=True, exist_ok=True)
+        destination_path = destination_path.joinpath('vocab')
     # if args.text:
     #     text = " ".join(args.text)
     # else:
@@ -49,25 +56,25 @@ def main():
     ## vocab now
     ## Lookup vocab
     for word in vocab:
-        #vocab_hash = hashlib.shake_256((word + dictionary_name).encode()).hexdigest(4)
-        if Path(destination_path.joinpath('vocab/' + word + '.md')).exists() == False:
-            definitions = anki_fields_term(word)
-            if definitions.get("fields"):
-                with open(destination_path.as_posix() + '/vocab/' + word + '.md', 'w') as vocab_note:
-                    for entry in definitions.get("fields"):
-                        #vocab_note.write("\n")
-                        #print(entry['expression'], file=vocab_note)
-                        #print(entry['furigana-plain'], file=vocab_note)
-                        print(entry['furigana'], file=vocab_note)
-                        if entry['expression'] != entry['reading']:
-                           print(entry['reading'], file=vocab_note)
-                        print("> ",re.sub(r'<.*?>', '', entry['glossary-plain-no-dictionary']), "\n", file=vocab_note)
-                        #print(f"Part of Speech: {entry['part-of-speech']}", file=vocab_note)
-                        print(f"Frequency: {entry['frequency-average-rank']}", file=vocab_note)
-                        #print(entry['glossary-plain-no-dictionary'], file=vocab_note)
-                        vocab_note.write(entry['glossary-first'])
-                        #print("##### Other Definitions", file=vocab_note)
-                        print("\n", file=vocab_note)
+        write_word_note(word, destination_path)
+        # if Path(destination_path.joinpath('/' + word + '.md')).exists() == False:
+        #     definitions = anki_fields_term(word)
+        #     if definitions.get("fields"):
+        #         with open(destination_path.as_posix() + '/' + word + '.md', 'w') as vocab_note:
+        #             for entry in definitions.get("fields"):
+        #                 #vocab_note.write("\n")
+        #                 #print(entry['expression'], file=vocab_note)
+        #                 #print(entry['furigana-plain'], file=vocab_note)
+        #                 print(entry['furigana'], file=vocab_note)
+        #                 if entry['expression'] != entry['reading']:
+        #                    print(entry['reading'], file=vocab_note)
+        #                 print("> ",re.sub(r'<.*?>', '', entry['glossary-plain-no-dictionary']), "\n", file=vocab_note)
+        #                 #print(f"Part of Speech: {entry['part-of-speech']}", file=vocab_note)
+        #                 print(f"Frequency: {entry['frequency-average-rank']}", file=vocab_note)
+        #                 #print(entry['glossary-plain-no-dictionary'], file=vocab_note)
+        #                 vocab_note.write(entry['glossary-first'])
+        #                 #print("##### Other Definitions", file=vocab_note)
+        #                 print("\n", file=vocab_note)
     
     ## Output file with changes if changes
     with open(args.markdown_file, "w", encoding="utf-8") as f: