diff --git a/src/clinical_etl/CSVConvert.py b/src/clinical_etl/CSVConvert.py
index 19bdd68..08256fe 100644
--- a/src/clinical_etl/CSVConvert.py
+++ b/src/clinical_etl/CSVConvert.py
@@ -32,8 +32,6 @@ def parse_args():
     parser.add_argument('--manifest', type=str, required=True, help="Path to a manifest file describing the mapping. See README for more information")
     parser.add_argument('--test', action="store_true", help="Use exact template specified in manifest: do not remove extra lines")
     parser.add_argument('--verbose', '--v', action="store_true", help="Print extra information, useful for debugging and understanding how the code runs.")
-    parser.add_argument('--index', '--i', action="store_true", help="Output 'indexed' file, useful for debugging and seeing relationships.")
-    parser.add_argument('--minify', action="store_true", help="Remove white space and line breaks from json outputs to reduce file size. Less readable for humans.")
     args = parser.parse_args()
     return args
 
@@ -621,7 +619,7 @@ def load_manifest(manifest_file):
     return result
 
 
-def csv_convert(input_path, manifest_file, minify=False, index_output=False, verbose=False):
+def csv_convert(input_path, manifest_file, verbose=False):
     mappings.VERBOSE = verbose
     # read manifest data
     print("Starting conversion")
@@ -653,12 +651,8 @@ def csv_convert(input_path, manifest_file, minify=False, index_output=False, ver
 
     print("Indexing data")
     mappings.INDEXED_DATA = process_data(raw_csv_dfs)
-    if index_output:
-        with open(f"{mappings.OUTPUT_FILE}_indexed.json", 'w') as f:
-            if minify:
-                json.dump(mappings.INDEXED_DATA, f)
-            else:
-                json.dump(mappings.INDEXED_DATA, f, indent=4)
+    with open(f"{mappings.OUTPUT_FILE}_indexed.json", 'w') as f:
+        json.dump(mappings.INDEXED_DATA, f, indent=4)
 
     # if verbose flag is set, warn if column name is present in multiple sheets:
     for col in mappings.INDEXED_DATA["columns"]:
@@ -699,12 +693,9 @@ def csv_convert(input_path, manifest_file, minify=False, index_output=False, ver
         if mappings._pop_from_stack() is not None:
             raise Exception(
                 f"Stack not empty\n{mappings.IDENTIFIER_FIELD}: {mappings.IDENTIFIER}\n {mappings.INDEX_STACK}")
-    if index_output:
-        with open(f"{mappings.OUTPUT_FILE}_indexed.json", 'w') as f:
-            if minify:
-                json.dump(mappings.INDEXED_DATA, f)
-            else:
-                json.dump(mappings.INDEXED_DATA, f, indent=4)
+
+    with open(f"{mappings.OUTPUT_FILE}_indexed.json", 'w') as f:
+        json.dump(mappings.INDEXED_DATA, f, indent=4)
 
     result_key = list(schema.validation_schema.keys()).pop(0)
 
@@ -716,10 +707,7 @@ def csv_convert(input_path, manifest_file, minify=False, index_output=False, ver
     if schema.katsu_sha is not None:
         result["katsu_sha"] = schema.katsu_sha
     with open(f"{mappings.OUTPUT_FILE}_map.json", 'w') as f:  # write to json file for ingestion
-        if minify:
-            json.dump(result, f)
-        else:
-            json.dump(result, f, indent=4)
+        json.dump(result, f, indent=4)
 
     # add validation data:
     schema.validate_ingest_map(result)
@@ -727,10 +715,7 @@ def csv_convert(input_path, manifest_file, minify=False, index_output=False, ver
     result["validation_warnings"] = schema.validation_warnings
     result["statistics"] = schema.statistics
     with open(f"{mappings.OUTPUT_FILE}_map.json", 'w') as f:  # write to json file for ingestion
-        if minify:
-            json.dump(result, f)
-        else:
-            json.dump(result, f, indent=4)
+        json.dump(result, f, indent=4)
 
     if len(result["validation_warnings"]) > 0:
         print(
@@ -747,4 +732,4 @@ def csv_convert(input_path, manifest_file, minify=False, index_output=False, ver
     args = parse_args()
     input_path = args.input
     manifest_file = args.manifest
-    csv_convert(input_path, manifest_file,  minify=args.minify, index_output=args.index, verbose=args.verbose)
+    csv_convert(input_path, manifest_file, verbose=args.verbose)