diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..ab1f416
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,10 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Ignored default folder with query files
+/queries/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
+# Editor-based HTTP Client requests
+/httpRequests/
diff --git a/fxl b/fxl.py
similarity index 100%
rename from fxl
rename to fxl.py
diff --git a/streamlit_app.py b/streamlit_app.py
new file mode 100644
index 0000000..bfdcd0a
--- /dev/null
+++ b/streamlit_app.py
@@ -0,0 +1,60 @@
+import streamlit as st
+from trial_balance_parser import parse_trial_balance_to_excel
+
+
+st.set_page_config(
+    page_title="MEDITECH Detail Trial Balance Parser",
+    page_icon="📄",
+    layout="wide",
+)
+
+
+st.title("MEDITECH Detail Trial Balance Parser")
+
+st.write(
+    "Upload a MEDITECH Detail Trial Balance PDF and export the parsed transactions "
+    "and account summary to Excel."
+)
+
+uploaded_file = st.file_uploader(
+    "Upload Trial Balance PDF",
+    type=["pdf"],
+)
+
+if uploaded_file is not None:
+    st.info(f"Uploaded file: {uploaded_file.name}")
+
+    if st.button("Parse PDF"):
+        try:
+            with st.spinner("Parsing PDF..."):
+                excel_bytes, df_txn, df_acct, title = parse_trial_balance_to_excel(uploaded_file)
+
+            st.success("Parsed successfully.")
+
+            col1, col2 = st.columns(2)
+
+            with col1:
+                st.metric("Transactions", len(df_txn))
+
+            with col2:
+                st.metric("Account Summary Rows", len(df_acct))
+
+            if title:
+                st.write(f"**Report Title:** {title}")
+
+            st.subheader("Transactions Preview")
+            st.dataframe(df_txn, use_container_width=True)
+
+            st.subheader("Account Summary Preview")
+            st.dataframe(df_acct, use_container_width=True)
+
+            st.download_button(
+                label="Download Excel File",
+                data=excel_bytes,
+                file_name="meditech_trial_balance_parsed.xlsx",
+                mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+            )
+
+        except Exception as e:
+            st.error("Something went wrong while parsing the PDF.")
+            st.exception(e)
\ No newline at end of file
diff --git a/trial_balance_parser.py b/trial_balance_parser.py
new file mode 100644
index 0000000..6f28029
--- /dev/null
+++ b/trial_balance_parser.py
@@ -0,0 +1,314 @@
+import re
+import io
+import pandas as pd
+import pdfplumber
+import openpyxl
+
+from openpyxl.styles import Font
+from openpyxl.worksheet.table import Table, TableStyleInfo
+from openpyxl.utils import get_column_letter
+
+
+money_re = re.compile(r"-?\d{1,3}(?:,\d{3})*(?:\.\d{2})")
+acct_re = re.compile(r"^(?P<account>\d{2}\.\d{5}\.\d{5})\s+-\s+(?P<fund>\d{2})\s+(?P<name>.+)$")
+journal_re = re.compile(
+    r"^(?P<journal>[A-Z][A-Z0-9/]*)\s+"
+    r"(?P<date>\d{2}/\d{2}/\d{2})(?P<bch>\d{1,2})?\s+"
+    r"(?P<entry>\d+(?:-\d+)?)\b"
+)
+
+
+def parse_money(s):
+    if not s:
+        return None
+
+    m = money_re.search(s)
+    return float(m.group(0).replace(",", "")) if m else None
+
+
+def is_page_header_noise(s):
+    s = " ".join(s.split()).upper()
+    return (
+        ("FISCAL CALENDAR" in s or "FIRST CALENDAR" in s)
+        and ("ROUND MONEY" in s or "TRIAL" in s)
+    )
+
+
+def clean_description(desc):
+    if not desc or is_page_header_noise(desc):
+        return ""
+
+    patterns = [
+        r"FISCAL\s+CALENDAR\s+[A-Z]{3,6}\s*,?\s*[A-Z]{3}\s+20\d{2}",
+        r"FIRST\s+CALENDAR\s+[A-Z]{3,6}\s*,?\s*[A-Z]{3}\s+20\d{2}",
+        r"ROUND\s+MONEY\s*:\s*\d+\.\d+",
+        r"\bTRIAL\b",
+    ]
+
+    for p in patterns:
+        desc = re.sub(p, "", desc, flags=re.IGNORECASE)
+
+    return " ".join(desc.split())
+
+
+def parse_trial_balance_pdf(pdf_file):
+    """
+    Parses a MEDITECH detail trial balance PDF.
+
+    Accepts either:
+    - a file path string
+    - a Streamlit uploaded file
+    - a file-like object
+
+    Returns:
+    - df_txn
+    - df_acct
+    - title
+    """
+
+    transactions = []
+    acct_summaries = []
+
+    report_title_parts = {
+        "fiscal": None,
+        "period": None,
+        "trial": None,
+    }
+
+    with pdfplumber.open(pdf_file) as pdf:
+        for page in pdf.pages:
+            text = page.extract_text(layout=True) or ""
+            lines = text.splitlines()
+
+            for ln in lines:
+                s = ln.strip()
+
+                if report_title_parts["fiscal"] is None and "Fiscal Calendar" in s:
+                    report_title_parts["fiscal"] = " ".join(s.split())
+
+                if report_title_parts["period"] is None and re.search(r"\b[A-Z]{3}\s+20\d{2}\b", s):
+                    report_title_parts["period"] = " ".join(s.split())
+
+                if report_title_parts["trial"] is None and s.upper() == "TRIAL":
+                    report_title_parts["trial"] = "TRIAL"
+
+            txn_header = None
+            acct_header = None
+
+            for i, ln in enumerate(lines):
+                if "JOURNAL" in ln and "DESCRIPTION" in ln and "DEBITS" in ln:
+                    txn_header = i
+
+                if "ACCOUNT" in ln and "OPEN" in ln and "CLOSE" in ln:
+                    acct_header = i
+
+            deb_pos = cred_pos = desc_pos = None
+            open_pos = adeb_pos = acredit_pos = change_pos = close_pos = None
+
+            if txn_header is not None:
+                h = lines[txn_header]
+                deb_pos = h.find("DEBITS")
+                cred_pos = h.find("CREDITS", deb_pos)
+                desc_pos = h.find("DESCRIPTION", cred_pos)
+
+            if acct_header is not None:
+                h = lines[acct_header]
+                open_pos = h.find("OPEN")
+                adeb_pos = h.find("DEBITS", open_pos)
+                acredit_pos = h.find("CREDITS", adeb_pos)
+                change_pos = h.find("CHANGE", acredit_pos)
+                close_pos = h.find("CLOSE", change_pos)
+
+            current_account = None
+            current_account_name = None
+            pending_totals = False
+            last_txn = None
+
+            i = 0
+
+            while i < len(lines):
+                ln = lines[i]
+                s = ln.strip()
+
+                if not s or is_page_header_noise(s):
+                    i += 1
+                    continue
+
+                m = acct_re.match(s)
+
+                if m:
+                    current_account = m.group("account")
+                    current_account_name = m.group("name").strip()
+                    pending_totals = True
+                    last_txn = None
+                    i += 1
+                    continue
+
+                if pending_totals and money_re.search(s):
+                    nums = [float(x.replace(",", "")) for x in money_re.findall(s)]
+                    nums += [None] * 5
+
+                    acct_summaries.append(
+                        {
+                            "ACCOUNT_NAME": current_account_name,
+                            "ACCOUNT": current_account,
+                            "OPEN": nums[0],
+                            "TOTAL_DEBITS": nums[1],
+                            "TOTAL_CREDITS": nums[2],
+                            "NET_CHANGE": nums[3],
+                            "CLOSE": nums[4],
+                        }
+                    )
+
+                    pending_totals = False
+                    i += 1
+                    continue
+
+                m = journal_re.match(s)
+
+                if m and current_account:
+                    journal = m.group("journal")
+                    date = m.group("date")
+                    bch = int(m.group("bch")) if m.group("bch") else None
+                    entry = m.group("entry")
+
+                    debit = None
+                    credit = None
+                    desc = ""
+
+                    if deb_pos is not None and cred_pos is not None:
+                        debit = parse_money(ln[deb_pos:cred_pos])
+                        credit = parse_money(ln[cred_pos:desc_pos])
+                        desc = ln[desc_pos:].strip()
+                    else:
+                        after = s[m.end():].strip()
+                        nums = money_re.findall(after)
+
+                        if nums:
+                            debit = float(nums[0].replace(",", ""))
+
+                        desc = money_re.sub("", after).strip()
+
+                    row = {
+                        "ACCOUNT_NAME": current_account_name,
+                        "ACCOUNT": current_account,
+                        "JOURNAL": journal,
+                        "DATE": date,
+                        "BCH": bch,
+                        "ENTRY": entry,
+                        "DEBITS": debit,
+                        "CREDITS": credit,
+                        "DESCRIPTION": clean_description(desc),
+                    }
+
+                    transactions.append(row)
+                    last_txn = row
+                    i += 1
+                    continue
+
+                if last_txn:
+                    add = clean_description(s)
+
+                    if add:
+                        last_txn["DESCRIPTION"] += " " + add
+
+                    i += 1
+                    continue
+
+                i += 1
+
+    title = ", ".join(v for v in report_title_parts.values() if v)
+
+    df_txn = pd.DataFrame(transactions)
+    df_acct = pd.DataFrame(acct_summaries)
+
+    return df_txn, df_acct, title
+
+
+def build_excel_file(df_txn, df_acct, title):
+    """
+    Builds a formatted Excel workbook in memory.
+
+    Returns:
+    - bytes suitable for Streamlit download_button
+    """
+
+    initial_buffer = io.BytesIO()
+
+    with pd.ExcelWriter(initial_buffer, engine="openpyxl") as writer:
+        df_txn.to_excel(writer, "Transactions", index=False, startrow=2)
+        df_acct.to_excel(writer, "Account Summary", index=False, startrow=2)
+
+    initial_buffer.seek(0)
+
+    wb = openpyxl.load_workbook(initial_buffer)
+
+    for sheet_name in ["Transactions", "Account Summary"]:
+        ws = wb[sheet_name]
+
+        ws["A1"] = title
+        ws.merge_cells(
+            start_row=1,
+            start_column=1,
+            end_row=1,
+            end_column=ws.max_column,
+        )
+        ws["A1"].font = Font(bold=True)
+        ws.freeze_panes = "A4"
+
+        header_row = 3
+
+        if ws.max_row >= header_row and ws.max_column >= 1:
+            end_col = get_column_letter(ws.max_column)
+            table_ref = f"A{header_row}:{end_col}{ws.max_row}"
+
+            table_name = sheet_name.replace(" ", "") + "Table"
+
+            tab = Table(displayName=table_name, ref=table_ref)
+
+            style = TableStyleInfo(
+                name="TableStyleMedium9",
+                showFirstColumn=False,
+                showLastColumn=False,
+                showRowStripes=True,
+                showColumnStripes=False,
+            )
+
+            tab.tableStyleInfo = style
+            ws.add_table(tab)
+
+        for col in ws.columns:
+            max_length = 0
+            col_letter = get_column_letter(col[0].column)
+
+            for cell in col:
+                try:
+                    if cell.value:
+                        max_length = max(max_length, len(str(cell.value)))
+                except Exception:
+                    pass
+
+            ws.column_dimensions[col_letter].width = min(max_length + 2, 60)
+
+    final_buffer = io.BytesIO()
+    wb.save(final_buffer)
+    final_buffer.seek(0)
+
+    return final_buffer.getvalue()
+
+
+def parse_trial_balance_to_excel(pdf_file):
+    """
+    Main function for Streamlit or command-line use.
+
+    Returns:
+    - excel_bytes
+    - df_txn
+    - df_acct
+    - title
+    """
+
+    df_txn, df_acct, title = parse_trial_balance_pdf(pdf_file)
+    excel_bytes = build_excel_file(df_txn, df_acct, title)
+
+    return excel_bytes, df_txn, df_acct, title
\ No newline at end of file