diff --git a/parser/parser.py b/parser/parser.py
new file mode 100644
index 0000000..064a3ef
--- /dev/null
+++ b/parser/parser.py
@@ -0,0 +1,74 @@
+import pdfplumber
+import re
+import pymorphy2
+
+def parse_hall_text(pdf_pass): 
+    
+    result = [] 
+    
+    with pdfplumber.open(pdf_pass) as pdf:
+        for page_num, page in enumerate(pdf.pages, 1):
+            text = page.extract_text()
+            
+            result.append({
+                'page': page_num,
+                'text': text
+            })
+            
+    return result
+
+def filter_text(text):
+    text = re.sub(r'\n+', '\n', text)  
+    
+    text = re.sub(r'\s+', ' ', text)
+    
+    text = re.sub(r'\(стр\.\s+\d+\)', '', text, flags=re.IGNORECASE)
+    text = re.sub(r'\[страница\s+\d+\]', '', text, flags=re.IGNORECASE)
+    
+    # 5. Удаляем URL
+    text = re.sub(r'https?://\S+', '', text)
+    
+    # 6. Финальная очистка пробелов
+    text = text.strip()
+    text = re.sub(r'\s+', ' ', text)
+    
+    return text
+
+morph = pymorphy2.MorphAnalyzer()
+
+def normalize_text_lemmatize(text, language='ru'):
+    
+    text = text.lower()
+    
+    words = text.split()
+    lemmatized = []
+    
+    for word in words: 
+        parsed = morph.parse(word)[0]
+        lemma = parsed.normal_form
+        lemmatized.append(lemma.normal_form)
+        
+    return ' '.join(lemmatized)
+
+
+def prepare_text_for_rag(pdf_path):
+    
+    chunks = parse_hall_text(pdf_path)
+    
+    result = []
+    for chunk in chunks:
+
+        filtered = filter_text(chunk['text'])
+        
+        normalized = normalize_text_lemmatize(filtered)
+        
+        result.append({
+            "page": chunk['page'],
+            "original": chunk['text'],
+            "normalized": normalized
+        })
+    
+    return result
+
+if __name__ == "__main__":
+    pdf_pass = ""
\ No newline at end of file