diff --git a/README.md b/README.md
index 95cb7a9..6f2f676 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ optional arguments:
   -f F          file to analyse
   -t T          maximum value for the top list (default is 100) -1 is no limit
   -s            display the overall statistics (default is False)
-  -o O          output format (default is csv), json
+  -o O          output format (default is csv), json, readable
   -l L          language used for the analysis (default is en)
   --verbatim    Don't use the lemmatized form, use verbatim. (default is the
                 lematized form)
diff --git a/bin/napkin.py b/bin/napkin.py
index 3d94445..ac936ff 100644
--- a/bin/napkin.py
+++ b/bin/napkin.py
@@ -7,6 +7,7 @@ from spacy_langdetect import LanguageDetector
 import argparse
 import sys
 import simplejson as json
+from tabulate import tabulate
 
 parser = argparse.ArgumentParser(description="Extract statistical analysis of text")
 parser.add_argument('-v', help="verbose output")
@@ -120,9 +121,8 @@ for anal in analysis:
         if args.o == "csv":
             print()
         elif args.o == "readable":
-            print("")
-            print("+++++ Top {} of {} +++++".format(args.t, anal))
-            print("")
+            header = ["\033[1mTop {} of {}\033[0m".format(args.t, anal)]
+            readable_table = []
         elif args.o == "json":
             output_json.update({anal:[]})
         for a in x:
@@ -132,13 +132,15 @@ for anal in analysis:
                 if previous_value is None:
                     previous_value = a[1]
                 elif previous_value == a[1]:
-                    print("   - {}".format(a[0]))
+                    readable_table.append(["{}".format(a[0])])
                 elif a[1] < previous_value:
                     previous_value = a[1]
-                    print("   ### {} occurences".format(a[1]))
-                    print("   - {}".format(a[0]))
+                    readable_table.append(["{} occurences".format(a[1])])
+                    readable_table.append(["{}".format(a[0])])
             elif args.o == "json":
                 output_json[anal].append(a)
+        if args.o == "readable":
+            print(tabulate(readable_table, header, tablefmt="fancy_grid"))
         if args.o == "csv":
             print("#")