diff --git a/pandas_ods_reader/parser.py b/pandas_ods_reader/parser.py
index fe18cfe..84c757f 100644
--- a/pandas_ods_reader/parser.py
+++ b/pandas_ods_reader/parser.py
@@ -8,6 +8,26 @@ EXT_MAP = {".ods": ods, ".fods": fods}
 
 
 def read_ods(file_or_path, sheet=1, headers=True, columns=None):
+    """
+    Read in the provided ods file and convert it to `pandas.DataFrame`.
+
+    Parameters
+    ----------
+    file_or_path : str
+        The path to the .ods or .fods file.
+    sheet : int or str, default 1
+        If `int`, the 1 based index of the sheet to be read. If `str`, the
+        name of the sheet to be read.
+    header : bool, default True
+        If `True`, then the first row is treated as the list of column names.
+    columns : list or None, optional
+        A list of column names to be used as headers.
+
+    Returns
+    -------
+    pandas.DataFrame
+        The content of the specified sheet as a DataFrame.
+    """
     loader = EXT_MAP.get(Path(file_or_path).suffix)
     if not loader:
         raise ValueError("Unknown filetype.")
diff --git a/pandas_ods_reader/parsers/ods.py b/pandas_ods_reader/parsers/ods.py
index 55d3a2b..783ff1e 100644
--- a/pandas_ods_reader/parsers/ods.py
+++ b/pandas_ods_reader/parsers/ods.py
@@ -57,23 +57,6 @@ def load_ods(doc, sheet_id, headers=True, columns=None):
 
 
 def read(file_or_path, sheet=1, headers=True, columns=None):
-    """
-    This function reads in the provided ods file and converts it to a
-    dictionary. The dictionary is converted to a DataFrame. Trailing empty rows
-    and columns are dropped from the DataFrame, before it is returned.
-
-    :param file_or_path: str
-    the path to the ODS file
-    :param sheet: int or str, default 1
-    if int, the 1 based index of the sheet to be read in. If str, the name of
-    the sheet to be read in
-    :param header: bool, default True
-    if True, the first row is read in as headers
-    :param columns: list, default None
-    a list of column names to be used as headers
-    :returns: pandas.DataFrame
-    the ODS file as a pandas DataFrame
-    """
     doc = ezodf.opendoc(file_or_path)
     df = load_ods(doc, sheet, headers, columns)
     return sanitize_df(df)