diff --git a/app_main.py b/app_main.py
index 90980d1..8d8b6f5 100644
--- a/app_main.py
+++ b/app_main.py
@@ -1,6 +1,9 @@
 from flask import Flask, request, send_file, render_template, redirect
 import io
 import os
+
+from aviza.paynl_single import extract_and_process_zip_paynl_single
+from aviza.gls_single import extract_and_process_zip_gls_single
 from csv2gpc import convert_csv_to_gpc, mapping_sparkasse, mapping_pko, mapping_wise
 from allegro import convert_csv_to_gpc_allegro, mapping_allegro
 import tempfile
@@ -49,6 +52,16 @@ def index():
             file.save(tmp_input.name)
             tmp_file_path = tmp_input.name
 
+        try:
+            file_bank_statement = request.files["file_bank_statement"]
+
+            suffix = os.path.splitext(file_bank_statement.filename)[1]
+            with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp_input:
+                file_bank_statement.save(tmp_input.name)
+                bank_statement_file_path = tmp_input.name
+        except:
+            print("no bank_statement")
+
         day_of_year = int(datetime.date.today().strftime("%j"))
         out_filename = f"{option}_vypis_{day_of_year}.gpc"
         mimetype = "text/plain"
@@ -80,6 +93,25 @@ def index():
                 as_attachment=True,
                 mimetype="application/zip"
             )
+        elif option == "paynl_single":
+
+            result_data = extract_and_process_zip_paynl_single(tmp_file_path, bank_statement_file_path, f"{option}_aviza_{day_of_year}.csv")
+            return send_file(
+                result_data,
+                download_name=f"paynl_single_{day_of_year}.zip",
+                as_attachment=True,
+                mimetype="application/zip"
+            )
+
+        elif option == "gls_single_huf":
+
+            result_data = extract_and_process_zip_gls_single(tmp_file_path, bank_statement_file_path, f"{option}_aviza_{day_of_year}.csv", "HUF")
+            return send_file(
+                result_data,
+                download_name=f"gls_single_huf_{day_of_year}.zip",
+                as_attachment=True,
+                mimetype="application/zip"
+            )
 
 
 
diff --git a/aviza/gls_single.py b/aviza/gls_single.py
new file mode 100644
index 0000000..d7fe63d
--- /dev/null
+++ b/aviza/gls_single.py
@@ -0,0 +1,124 @@
+import pandas as pd
+import sys
+import os
+import zipfile
+from datetime import datetime
+from aviza.helpers import write_output_csv_to_zip
+
+GLOBAL_CURRENCY = None
+transactions_df = None
+
+
+def load_bank_transactions(csv_file):
+    """
+    Loads the bank transactions CSV file into a DataFrame and returns it.
+
+    :param csv_file: Path to the bank transactions CSV file.
+    :return: A pandas DataFrame containing the transactions.
+    """
+    global GLOBAL_CURRENCY
+    df = pd.read_csv(csv_file, delimiter=',', dtype=str)
+
+    if GLOBAL_CURRENCY == "HUF":
+        if 'Reference' not in df.columns:
+            raise ValueError("The CSV file does not contain the required column 'Reference'.")
+
+    return df
+
+def search_bank_transaction(search_string):
+    """
+    Searches for a given string in the 'Zpráva pro příjemce' column of the loaded DataFrame.
+
+    :param search_string: String to search for in the 'Zpráva pro příjemce' column.
+    :return: The first matching row as a dictionary or None if not found.
+    """
+
+    global GLOBAL_CURRENCY, transactions_df
+
+    if GLOBAL_CURRENCY == "HUF":
+        row_title = 'Reference'
+    matching_row = transactions_df[transactions_df[row_title].str.contains(search_string, na=False, case=False)]
+
+    return matching_row.iloc[0].to_dict() if not matching_row.empty else None
+
+
+def extract_and_process_zip_gls_single(zip_file_path, bank_statement_file_path, output_file, currency):
+
+    global GLOBAL_CURRENCY, transactions_df
+    all_transformed_data = []
+
+    transactions_df = load_bank_transactions(bank_statement_file_path)
+    GLOBAL_CURRENCY = currency
+
+    base_dir = os.path.dirname(zip_file_path)
+    extract_folder = os.path.join(base_dir, "extracted_temp")
+    os.makedirs(extract_folder, exist_ok=True)
+
+    # Extract the zip file.
+    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
+        zip_ref.extractall(extract_folder)
+
+    # Search for the folder named 'GLOBAL_CURRENCY' within the extracted contents.
+    global_currency_folder = None
+    for root, dirs, files in os.walk(os.path.join(extract_folder, 'Aviza GLS')):
+        if os.path.basename(root) == GLOBAL_CURRENCY:
+            global_currency_folder = root
+            break
+
+    if global_currency_folder:
+        # Process every CSV file found in the GLOBAL_CURRENCY folder.
+        for filename in os.listdir(global_currency_folder):
+            if filename.endswith(".xlsx"):
+                csv_path = os.path.join(global_currency_folder, filename)
+                transformed_data = transform_csv(csv_path)
+                all_transformed_data.append(transformed_data)
+    else:
+        print(f"'GLOBAL_CURRENCY' folder not found in zip file")
+
+    # Clean up extracted files.
+    for root, dirs, files in os.walk(extract_folder, topdown=False):
+        for file in files:
+            os.remove(os.path.join(root, file))
+        for dir in dirs:
+            os.rmdir(os.path.join(root, dir))
+    os.rmdir(extract_folder)
+
+    print(f"Processed and cleaned up")
+
+    # Write all collected transformed data to the output file.
+    return write_output_csv_to_zip(output_file, all_transformed_data)
+
+def transform_csv(input_file):
+    global transactions_df, GLOBAL_CURRENCY
+    df = pd.read_excel(input_file, skiprows=7, dtype=str)
+
+    payment_date = datetime.strptime(input_file.split("_" + GLOBAL_CURRENCY + "_")[1].split("_")[0], "%Y%m%d").strftime("%Y.%m.%d")
+
+    df.iloc[:, 4] = pd.to_numeric(df.iloc[:, 4].str.replace(',', '.'), errors='coerce').fillna(0)
+    cumsum = 0.00
+    transformed_data = []
+    total_rows = len(df)
+    for index, row in df.iterrows():
+        amount = row.iloc[4]
+        typ_operace = "t" if amount >= 0 else "c"
+        cumsum += amount
+        transformed_row = [
+            typ_operace, row.iloc[3], row.iloc[0], amount, cumsum, "TRUE", row.iloc[2],
+            f"Dobirka za FA s VS {row.iloc[2]}", "", "", "", "", "", "", row.iloc[1], 0, GLOBAL_CURRENCY
+        ]
+        transformed_data.append(transformed_row)
+
+        progress = (index + 1) / total_rows * 100
+        sys.stdout.write(f"\rProcessing: {progress:.2f}%")
+        sys.stdout.flush()
+
+        if index == total_rows - 2:
+            break
+
+
+    total_sum = cumsum
+    corresponding_transaction = search_bank_transaction(payment_date)
+    final_row = ["w", datetime.strptime(corresponding_transaction['Created on'], "%Y-%m-%d %H:%M:%S").strftime("%Y-%m-%d"), corresponding_transaction['ID'].split('-')[-1].strip(), -total_sum, 0, "TRUE", "", "Vyrovnání zůstatku", "12600016-16965466-28438156", "", "", "", "", "", "NEWLINE BREAK", "", GLOBAL_CURRENCY]
+    transformed_data.append(final_row)
+
+    return transformed_data
diff --git a/aviza/helpers.py b/aviza/helpers.py
new file mode 100644
index 0000000..43fbf8b
--- /dev/null
+++ b/aviza/helpers.py
@@ -0,0 +1,31 @@
+import csv
+import zipfile
+import io
+
+def write_output_csv_to_zip(output_file, transformed_data):
+    output_headers = [
+        "Typ operace", "Datum", "ID transakce", "Částka", "Zůstatek na účtu", "Změnit zůstatek na účtu",
+        "ID objednávky", "Popis", "Popis2/Číslo účtu", "Město", "PSČ", "Telefon", "E-mail",
+        "Emailová adresa", "Jméno a příjmení", "Provize", "Měna"
+    ]
+
+    # Create an in-memory ZIP archive
+    mem_zip = io.BytesIO()
+    with zipfile.ZipFile(mem_zip, mode="w", compression=zipfile.ZIP_DEFLATED) as zf:
+        for idx, file_data in enumerate(transformed_data):
+            # Create a filename, e.g. "0_output_file.csv"
+            filename = f"{idx}_{output_file}"
+            # Create an in-memory text stream for CSV output
+            csv_buffer = io.StringIO()
+            writer = csv.writer(csv_buffer, delimiter=';')
+            # Write header and file rows
+            writer.writerow(output_headers)
+            writer.writerows(file_data)
+            # Get CSV content as a string, encode it to bytes
+            csv_content = csv_buffer.getvalue().encode("utf-8")
+            csv_buffer.close()
+            # Write the CSV file into the ZIP archive
+            zf.writestr(filename, csv_content)
+
+    mem_zip.seek(0)  # Reset pointer to the beginning of the ZIP archive
+    return mem_zip
\ No newline at end of file
diff --git a/aviza/paynl_single.py b/aviza/paynl_single.py
new file mode 100644
index 0000000..b70155e
--- /dev/null
+++ b/aviza/paynl_single.py
@@ -0,0 +1,138 @@
+import pandas as pd
+import csv
+import sys
+import os
+import io
+import zipfile
+import shutil
+from datetime import datetime
+from aviza.helpers import write_output_csv_to_zip
+
+transactions_df = None
+
+
+
+def load_bank_transactions(csv_file):
+    """
+    Loads the bank transactions CSV file into a DataFrame and returns it.
+
+    :param csv_file: Path to the bank transactions CSV file.
+    :return: A pandas DataFrame containing the transactions.
+    """
+    df = pd.read_csv(csv_file, delimiter=';', dtype=str)
+
+    # Ensure the required column exists
+    if 'Zpráva pro příjemce' not in df.columns:
+        raise ValueError("The CSV file does not contain the required column 'Zpráva pro příjemce'.")
+
+    return df
+
+def search_bank_transaction(search_string):
+    global transactions_df
+    """
+    Searches for a given string in the 'Zpráva pro příjemce' column of the loaded DataFrame.
+
+    :param df: Pandas DataFrame containing bank transactions.
+    :param search_string: String to search for in the 'Zpráva pro příjemce' column.
+    :return: The first matching row as a dictionary or None if not found.
+    """
+    matching_row = transactions_df[transactions_df['Zpráva pro příjemce'].str.contains(search_string, na=False, case=False)]
+
+    return matching_row.iloc[0].to_dict() if not matching_row.empty else None
+
+
+def extract_and_process_zip_paynl_single(zip_file_path, bank_statement_file_path, output_file):
+    global transactions_df
+    transactions_df = load_bank_transactions(bank_statement_file_path)
+    all_transformed_data = []
+
+    # Create a temporary folder for extraction
+    base_dir = os.path.dirname(zip_file_path)
+    extract_folder = os.path.join(base_dir, "extracted_temp")
+    os.makedirs(extract_folder, exist_ok=True)
+
+    # Extract the provided outer zip file
+    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
+        zip_ref.extractall(extract_folder)
+
+    # Check if a top-level "Transactions" folder exists
+    transactions_folder = os.path.join(extract_folder, "Transactions")
+    if os.path.exists(transactions_folder):
+        # Look for a CSV file inside the Transactions folder
+        csv_filename = next(
+            (f for f in os.listdir(transactions_folder)
+             if f.startswith("Specification clearing") and f.endswith(".csv")),
+            None
+        )
+        if csv_filename:
+            csv_path = os.path.join(transactions_folder, csv_filename)
+            transformed_data = transform_csv(csv_path)
+            all_transformed_data.append(transformed_data)
+    else:
+        # Otherwise, look for inner zip files named "Specification clearing*.zip"
+        for root, dirs, files in os.walk(extract_folder):
+            for file in files:
+                if file.startswith("Specification clearing") and file.endswith(".zip"):
+                    inner_zip_path = os.path.join(root, file)
+                    # Create a temporary folder for the inner zip extraction
+                    inner_extract_folder = os.path.join(root, "inner_extracted")
+                    os.makedirs(inner_extract_folder, exist_ok=True)
+                    with zipfile.ZipFile(inner_zip_path, 'r') as inner_zip:
+                        inner_zip.extractall(inner_extract_folder)
+
+                    # Expect the inner zip to contain a "Transactions" folder with the CSV
+                    inner_transactions_folder = os.path.join(inner_extract_folder, "Transactions")
+                    if os.path.exists(inner_transactions_folder):
+                        inner_csv_filename = next(
+                            (f for f in os.listdir(inner_transactions_folder)
+                             if f.startswith("Specification clearing") and f.endswith(".csv")),
+                            None
+                        )
+                        if inner_csv_filename:
+                            inner_csv_path = os.path.join(inner_transactions_folder, inner_csv_filename)
+                            transformed_data = transform_csv(inner_csv_path)
+                            all_transformed_data.append(transformed_data)
+                    # Clean up inner extraction folder
+                    shutil.rmtree(inner_extract_folder)
+
+    # Clean up the outer extraction folder
+    shutil.rmtree(extract_folder)
+    print(f"Processed and cleaned up: {zip_file_path}")
+
+    # Return a ZIP archive (in memory) containing all the output CSV files.
+    return write_output_csv_to_zip(output_file, all_transformed_data)
+
+def transform_csv(input_file):
+    global transactions_df
+    df = pd.read_csv(input_file, delimiter=";", dtype=str)
+    df.iloc[:, 12] = pd.to_numeric(df.iloc[:, 12].str.replace(',', '.'), errors='coerce').fillna(0)
+    df['Zůstatek na účtu'] = df.iloc[:, 12].cumsum().astype(float).round(2)
+    transformed_data = []
+    total_rows = len(df)
+    clearing_id = df['CLEARING_ID'].iloc[0] if 'CLEARING_ID' in df.columns else None
+
+    for index, row in df.iterrows():
+        amount = row.iloc[12]
+        typ_operace = "t" if amount >= 0 else "c"
+
+        transformed_row = [
+            typ_operace, row.iloc[1], row.iloc[15], amount, row['Zůstatek na účtu'], "TRUE", row.iloc[15],
+            f"Dobirka za FA s VS {row.iloc[15]}", "", "", "", "", row.iloc[6], row.iloc[6], row.iloc[4], 0, "EUR"
+        ]
+        transformed_data.append(transformed_row)
+
+        progress = (index + 1) / total_rows * 100
+        sys.stdout.write(f"\rProcessing: {progress:.2f}%")
+        sys.stdout.flush()
+
+    total_sum = round(df.iloc[:, 12].sum(), 2)
+    corresponding_transaction = search_bank_transaction(clearing_id)
+    final_row = ["w", datetime.strptime(corresponding_transaction['Datum'], "%d.%m.%Y").strftime("%Y-%m-%d"), corresponding_transaction['Zpráva pro příjemce'].split(',')[-1].strip(), -total_sum, 0, "TRUE", "", "Vyrovnání zůstatku", corresponding_transaction['Číslo účtu'] + "/2010", "", "", "", "", "", "NEWLINE BREAK", "", "EUR"]
+    transformed_data.append(final_row)
+
+    return transformed_data
+
+
+
+# extract_and_process_zip(zip_folder, output_csv)
+
diff --git a/requirements.txt b/requirements.txt
index c1f49c9..bd56126 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,4 +2,5 @@ chardet~=5.2.0
 mysql-connector-python~=9.2.0
 pandas~=2.2.3
 flask
-gunicorn
\ No newline at end of file
+gunicorn
+openpyxl
\ No newline at end of file
diff --git a/templates/index.html b/templates/index.html
index 6105db4..f46c7c3 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -46,10 +46,32 @@
         </div>
       </div>
 
-      <!-- Aviza Section -->
-      <h2 class="text-2xl font-bold mt-8 mb-4">Aviza</h2>
+      <!-- Aviza daily Section -->
+      <h2 class="text-2xl font-bold mt-8 mb-4">Aviza - parovani primo na jednu platbu</h2>
       <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-6">
-        <!-- Add your Aviza tiles here if needed -->
+
+        <div class="tile bg-white shadow-md rounded-lg p-4 cursor-pointer hover:bg-blue-50"
+             data-option="paynl_single" data-section="aviza">
+          <h2 class="text-xl font-semibold mb-2">Paynl .csv</h2>
+          <p class="text-gray-600 text-sm italic">Pouzijte .zip se vsemi zip soubory z exportu</p>
+          <p class="text-gray-600 text-sm">.csv aviza pro EUR ucet</p>
+        </div>
+        <div class="tile bg-white shadow-md rounded-lg p-4 cursor-pointer hover:bg-blue-50"
+             data-option="gls_single_huf" data-section="aviza">
+          <h2 class="text-xl font-semibold mb-2">GLS HU.csv</h2>
+          <p class="text-gray-600 text-sm italic">Pouzijte .zip se vsemi zip soubory z exportu (z disku zazipovat slozku <i>Aviza GLS</i>)</p>
+          <p class="text-gray-600 text-sm">.csv aviza pro HUF dobirky</p>
+        </div>
+
+
+      </div>
+      <!-- Aviza Section -->
+      <h2 class="text-2xl font-bold mt-8 mb-4">Aviza - automaticke prirazeni (podporuje import vice souboru najednou)</h2>
+      <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-6">
+
+
+
+
       </div>
     </div>
 
@@ -72,7 +94,7 @@
           <!-- Extra file input for Aviza section (bank statement) -->
           <div id="bankStatementDiv" class="mb-4 hidden">
             <label class="block text-gray-700 mb-1">Nahrát výpis z účtu</label>
-            <input type="file" name="bank_statement" class="border p-2 w-full">
+            <input type="file" name="file_bank_statement" class="border p-2 w-full">
             <p class="text-gray-500 text-sm">
               Výpis účtu by měl být za stejné nebo delší období, jako je soubor importu, slouží k párování plateb.
             </p>