diff --git a/src/gui/pages/2_Text_Cleaner.py b/src/gui/pages/2_Text_Cleaner.py
index 4d7e667..61ecf02 100644
--- a/src/gui/pages/2_Text_Cleaner.py
+++ b/src/gui/pages/2_Text_Cleaner.py
@@ -123,82 +123,86 @@ st.divider()
 # ---------------------------------------------------------------------------
 # Options
 # ---------------------------------------------------------------------------
+#
+# Wrapped in an outer expander whose default state mirrors the preview
+# expander above: open before a result exists, folded once the user has
+# clicked Clean Text. Together they push the Results section to the top
+# of the visible area after a run.
 
-st.subheader("Options")
-
-preset_label = st.radio(
-    "Preset",
-    ["excel-hygiene (recommended)", "minimal", "paranoid"],
-    index=0,
-    horizontal=True,
-    help=(
-        "excel-hygiene: trim, collapse whitespace, fold smart quotes, strip "
-        "invisible chars, normalize line endings, NFC. "
-        "minimal: only trim and collapse. "
-        "paranoid: everything including NFKC compat fold (lossy)."
-    ),
-)
-preset_key = preset_label.split(" ", 1)[0]
-options = CleanOptions.from_preset(preset_key)
-
-with st.expander("Advanced options"):
-    col_a, col_b = st.columns(2)
-    with col_a:
-        options.trim = st.checkbox("Trim leading/trailing whitespace", value=options.trim)
-        options.collapse_whitespace = st.checkbox(
-            "Collapse internal whitespace", value=options.collapse_whitespace,
-        )
-        options.normalize_line_endings = st.checkbox(
-            "Normalize line endings (\\r\\n → \\n)", value=options.normalize_line_endings,
-        )
-        options.strip_control = st.checkbox(
-            "Strip control characters", value=options.strip_control,
-        )
-        options.strip_bom = st.checkbox("Strip BOM", value=options.strip_bom)
-    with col_b:
-        options.fold_smart_chars = st.checkbox(
-            "Fold smart characters (curly quotes, em-dash, NBSP)",
-            value=options.fold_smart_chars,
-        )
-        options.strip_zero_width = st.checkbox(
-            "Strip zero-width / invisible characters", value=options.strip_zero_width,
-        )
-        options.nfc = st.checkbox("Unicode NFC normalization", value=options.nfc)
-        options.nfkc = st.checkbox(
-            "Unicode NFKC compat fold (lossy: ① → 1, fi → fi)",
-            value=options.nfkc,
-        )
-
-    st.markdown("**Scope**")
-    string_cols = [
-        c for c in df.columns
-        if pd.api.types.is_object_dtype(df[c]) or pd.api.types.is_string_dtype(df[c])
-    ]
-    selected_cols = st.multiselect(
-        "Columns to clean (default: all string columns)",
-        options=list(df.columns),
-        default=string_cols,
-    )
-    skip_cols = st.multiselect(
-        "Columns to skip even if they look like text",
-        options=list(df.columns),
-        default=[],
-    )
-    options.columns = selected_cols if selected_cols else None
-    options.skip_columns = list(skip_cols)
-
-    st.markdown("**Case conversion**")
-    case_global = st.selectbox(
-        "Apply case conversion to selected columns",
-        ["None", "UPPER", "lower", "Title", "Sentence"],
+with st.expander("Options", expanded=not _has_result):
+    preset_label = st.radio(
+        "Preset",
+        ["excel-hygiene (recommended)", "minimal", "paranoid"],
         index=0,
+        horizontal=True,
+        help=(
+            "excel-hygiene: trim, collapse whitespace, fold smart quotes, strip "
+            "invisible chars, normalize line endings, NFC. "
+            "minimal: only trim and collapse. "
+            "paranoid: everything including NFKC compat fold (lossy)."
+        ),
     )
-    case_map = {
-        "UPPER": "upper", "lower": "lower",
-        "Title": "title", "Sentence": "sentence",
-    }
-    if case_global != "None":
-        options.case = case_map[case_global]  # type: ignore[assignment]
+    preset_key = preset_label.split(" ", 1)[0]
+    options = CleanOptions.from_preset(preset_key)
+
+    with st.expander("Advanced options"):
+        col_a, col_b = st.columns(2)
+        with col_a:
+            options.trim = st.checkbox("Trim leading/trailing whitespace", value=options.trim)
+            options.collapse_whitespace = st.checkbox(
+                "Collapse internal whitespace", value=options.collapse_whitespace,
+            )
+            options.normalize_line_endings = st.checkbox(
+                "Normalize line endings (\\r\\n → \\n)", value=options.normalize_line_endings,
+            )
+            options.strip_control = st.checkbox(
+                "Strip control characters", value=options.strip_control,
+            )
+            options.strip_bom = st.checkbox("Strip BOM", value=options.strip_bom)
+        with col_b:
+            options.fold_smart_chars = st.checkbox(
+                "Fold smart characters (curly quotes, em-dash, NBSP)",
+                value=options.fold_smart_chars,
+            )
+            options.strip_zero_width = st.checkbox(
+                "Strip zero-width / invisible characters", value=options.strip_zero_width,
+            )
+            options.nfc = st.checkbox("Unicode NFC normalization", value=options.nfc)
+            options.nfkc = st.checkbox(
+                "Unicode NFKC compat fold (lossy: ① → 1, fi → fi)",
+                value=options.nfkc,
+            )
+
+        st.markdown("**Scope**")
+        string_cols = [
+            c for c in df.columns
+            if pd.api.types.is_object_dtype(df[c]) or pd.api.types.is_string_dtype(df[c])
+        ]
+        selected_cols = st.multiselect(
+            "Columns to clean (default: all string columns)",
+            options=list(df.columns),
+            default=string_cols,
+        )
+        skip_cols = st.multiselect(
+            "Columns to skip even if they look like text",
+            options=list(df.columns),
+            default=[],
+        )
+        options.columns = selected_cols if selected_cols else None
+        options.skip_columns = list(skip_cols)
+
+        st.markdown("**Case conversion**")
+        case_global = st.selectbox(
+            "Apply case conversion to selected columns",
+            ["None", "UPPER", "lower", "Title", "Sentence"],
+            index=0,
+        )
+        case_map = {
+            "UPPER": "upper", "lower": "lower",
+            "Title": "title", "Sentence": "sentence",
+        }
+        if case_global != "None":
+            options.case = case_map[case_global]  # type: ignore[assignment]
 
 # ---------------------------------------------------------------------------
 # Run
@@ -215,10 +219,13 @@ if st.button("Clean Text", type="primary", use_container_width=True):
             st.stop()
     st.session_state["textclean_result"] = result
     st.session_state["textclean_input_name"] = uploaded.name
-    # Force a second rerun so the preview-section expander above sees
-    # the new result on its NEXT script pass and collapses itself.
-    # Without this the preview stays expanded until the user touches
-    # any other widget.
+    # One-shot flag picked up on the next pass to scroll the parent
+    # document to the Results anchor (see scroll snippet below).
+    st.session_state["_textclean_scroll_to_results"] = True
+    # Force a second rerun so the preview and options expanders see
+    # the new result on the NEXT script pass and collapse themselves.
+    # Without this they stay expanded until the user touches any
+    # other widget.
     st.rerun()
 
 result = st.session_state.get("textclean_result")
@@ -229,6 +236,16 @@ if result is None:
 # Results
 # ---------------------------------------------------------------------------
 
+# Anchor target for the auto-scroll snippet at the end of this block.
+# A bare ``<div id="...">`` survives Streamlit's HTML sanitizer (only
+# ``<script>`` is stripped), and a 1px-tall div doesn't visually shift
+# anything. Placed before the subheader so the scrolled-to viewport
+# starts a few pixels above the section heading rather than below it.
+st.markdown(
+    '<div id="textclean-results-anchor" style="height:1px"></div>',
+    unsafe_allow_html=True,
+)
+
 st.subheader("Results")
 
 pct = (result.cells_changed / result.cells_total * 100.0) if result.cells_total else 0.0
@@ -344,3 +361,30 @@ with dl_c:
 
 st.divider()
 st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When the user clicks Clean Text, the preview + options collapse but
+# Streamlit by itself doesn't scroll — the Results section is at the
+# bottom of a tall script so the user has to find it. Inject a tiny
+# component-html iframe that calls ``scrollIntoView`` on the parent's
+# Results anchor. Streamlit's main page is same-origin with component
+# iframes so ``window.parent.document`` access is allowed.
+#
+# The flag is one-shot (``pop`` removes it) so re-renders triggered by
+# unrelated widgets in the Results section (e.g., the Show-hidden
+# toggle) don't yank the viewport back to the top of Results.
+if st.session_state.pop("_textclean_scroll_to_results", False):
+    from streamlit.components.v1 import html as _components_html
+    _components_html(
+        """
+        <script>
+          const doc = window.parent.document;
+          const target = doc.getElementById('textclean-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )