diff --git a/scripts/data/lpc43xx/csv2yaml.py b/scripts/data/lpc43xx/csv2yaml.py
new file mode 100755
index 00000000..c7b4ec72
--- /dev/null
+++ b/scripts/data/lpc43xx/csv2yaml.py
@@ -0,0 +1,70 @@
+#!/usr/bin/env python
+
+import sys
+import yaml
+import csv
+from collections import OrderedDict
+
+def repr_odict(dumper, data):
+    """
+    >>> data = OrderedDict([('foo', 'bar'), ('mumble', 'quux'), ('baz', 'gorp')])
+    >>> yaml.dump(data, default_flow_style=False)
+    '!!omap\\n- foo: bar\\n- mumble: quux\\n- baz: gorp\\n'
+    >>> yaml.dump(data, default_flow_style=True)
+    '!!omap [foo: bar, mumble: quux, baz: gorp]\\n'
+    """
+    return repr_pairs(dumper, u'tag:yaml.org,2002:omap', data.iteritems())
+ 
+yaml.add_representer(OrderedDict, repr_odict)
+ 
+def repr_pairs(dump, tag, sequence, flow_style=None):
+    """This is the same code as BaseRepresenter.represent_sequence(),
+    but the value passed to dump.represent_data() in the loop is a
+    dictionary instead of a tuple."""
+ 
+    value = []
+    node = yaml.SequenceNode(tag, value, flow_style=flow_style)
+    if dump.alias_key is not None:
+        dump.represented_objects[dump.alias_key] = node
+    best_style = True
+    for (key, val) in sequence:
+        item = dump.represent_data({key: val})
+        if not (isinstance(item, yaml.ScalarNode) and not item.style):
+            best_style = False
+        value.append(item)
+    if flow_style is None:
+        if dump.default_flow_style is not None:
+            node.flow_style = dump.default_flow_style
+        else:
+            node.flow_style = best_style
+    return node
+ 
+def convert_file(fname):
+    reader = csv.reader(open(fname, 'r'))
+
+    registers = OrderedDict()
+    for register_name, lsb, width, field_name, description, reset_value, access in reader:
+        if register_name not in registers:
+            registers[register_name] = {
+                'fields': OrderedDict(),
+            }
+
+        register = registers[register_name]
+        fields = register['fields']
+        if field_name in fields:
+            raise RuntimeError('Duplicate field name "%s" in register "%s"' %
+                    field_name, register_name)
+        else:
+            fields[field_name] = {
+                'lsb': int(lsb),
+                'width': int(width),
+                'description': description,
+                'reset_value': reset_value,
+                'access': access,
+            }
+
+    with open(fname.replace('.csv', '.yaml'), 'w') as out_file:
+        yaml.dump(registers, out_file, default_flow_style=False)
+
+for fname in sys.argv[1:]:
+    convert_file(fname)