diff --git a/bin/mat2json.py b/bin/mat2json.py
new file mode 100644
index 0000000..d0e5071
--- /dev/null
+++ b/bin/mat2json.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+"""
+Created : 21-06-2018
+Last Modified : Fri 22 Jun 2018 06:46:45 PM EDT
+Created By : Enrique D. Angola
+"""
+
+import json
+
+import scipy.io as spio
+import pandas as pd
+
+def loadmat(filename):
+    '''
+    this function should be called instead of direct spio.loadmat
+    as it cures the problem of not properly recovering python dictionaries
+    from mat files. It calls the function check keys to cure all entries
+    which are still mat-objects
+    '''
+    data = spio.loadmat(filename, struct_as_record=False, squeeze_me=True)
+    return _check_keys(data)
+
+def _check_keys(dict):
+    '''
+    checks if entries in dictionary are mat-objects. If yes
+    todict is called to change them to nested dictionaries
+    '''
+    for key in dict:
+        if isinstance(dict[key], spio.matlab.mio5_params.mat_struct):
+            dict[key] = _todict(dict[key])
+    return dict
+
+def _todict(matobj):
+    '''
+    A recursive function which constructs from matobjects nested dictionaries
+    '''
+    dict = {}
+    for strg in matobj._fieldnames:
+        elem = matobj.__dict__[strg]
+        if isinstance(elem, spio.matlab.mio5_params.mat_struct):
+            dict[strg] = _todict(elem)
+        else:
+            dict[strg] = elem
+    return dict
+
+def mat2json(filename=None,filepath = ''):
+    """
+    Converts .mat file to .json and writes new file
+
+    Parameters
+    ----------
+    filename: Str
+        path/filename of .mat file
+    filepath: Str
+        path to write converted file
+
+    Returns
+    -------
+    None
+
+    Examples
+    --------
+    >>> mat2json(blah blah)
+
+    """
+
+    matlabFile = loadmat(filename)
+    #pop all those dumb fields that don't let you jsonize file
+    matlabFile.pop('__header__')
+    matlabFile.pop('__version__')
+    matlabFile.pop('__globals__')
+    #jsonize the file - orientation is 'index'
+    matlabFile = pd.Series(matlabFile).to_json()
+    with open(filepath+filename[0:-4]+'.json','w') as f:
+        f.write(matlabFile)
+
+mat2json('test.mat')