diff --git a/tetras_extraction/script/requirements.txt b/tetras_extraction/script/requirements.txt
index 7fbd5744524cc77f264ebd200d6ddb9518d811f3..f8f98c309a84e3274a3ac920658ed90f254bff3b 100644
--- a/tetras_extraction/script/requirements.txt
+++ b/tetras_extraction/script/requirements.txt
@@ -10,3 +10,4 @@ types-beautifulsoup4==4.12.0.20240511
 types-html5lib==1.1.11.20240228
 types-lxml==2024.4.14
 typing_extensions==4.12.1
+pandoc
diff --git a/tetras_extraction/script/src/transform.py b/tetras_extraction/script/src/transform.py
index 790e8ed6479577c7492f4342900e1cfa1dbc7cf6..672a4262c7b041a8bb81b6f42a1370e32c6c5b4e 100644
--- a/tetras_extraction/script/src/transform.py
+++ b/tetras_extraction/script/src/transform.py
@@ -1,5 +1,6 @@
-from rdflib import OWL, RDF, Graph
+from rdflib import OWL, RDF, Graph, Literal
 from lxml import html
+import pandoc
 
 from common import *
 
@@ -30,12 +31,15 @@ def construct_while(g: Graph, query: str):
         pass
 
 
-# 1st attempt : clean up audio <script> tags
 def transform_html(graph: Graph):
+    html_properties = ['commentaireInfo', 'commentaireSucces', 'commentaireSugg', 'html', 'description']
+
+
+    # 1st attempt : clean up audio <script> tags
+    """
     for t in graph.triples((None, NS['description'], None)):
         desc_str = t[2]
         tree = html.fragment_fromstring(desc_str)
-
         for script in tree.findall(".//script"):
             # `HtmlElement.drop_tree()` removes an element along with its
             # children and text, however it has an interesting feature :
@@ -47,6 +51,18 @@ def transform_html(graph: Graph):
             script.tail = script.text + script.tail
             script.drop_tree()
         pass
+    """
+
+    # Process all html content through Pandoc
+    for prop in html_properties:
+        for t in graph.triples((None, NS[prop], None))  :
+            desc_str = t[2]
+            desc_doc = pandoc.read(desc_str, format="html")
+            desc_md = pandoc.write(desc_doc, format="markdown")
+            l = list(t)
+            l[2] = Literal(desc_md)
+            l[1] = NS[prop+'_md']
+            graph.add(tuple(l))