diff --git a/ressources/imgs/recette_test.png b/ressources/imgs/recette_test.png
new file mode 100644
index 0000000..2803b68
Binary files /dev/null and b/ressources/imgs/recette_test.png differ
diff --git a/src/model.py b/src/model.py
index b510c7c..e049a4c 100644
--- a/src/model.py
+++ b/src/model.py
@@ -10,16 +10,16 @@ from typing import Any
 
 from mistralai import Mistral
 
-from .utils import create_message
+from .utils import create_message, encode_image
 
 
-def recipe_analysis(recipe: str, **kwargs) -> dict[str, Any]:
+def text_recipe_analysis(recipe: str, **kwargs) -> dict[str, Any]:
     """
-    Analyze a recipe returning ingredients and preparation steps
+    Analyze a recipe in text returning ingredients and preparation steps
     Call a MistralAI model with parameters in kwargs
-    :param recipe:
+    :param recipe: recipe in text format
     :param kwargs:
-    :return:
+    :return: dict containing ingredients and preparation method
     """
     task = f"""Your task is to analyze a recipe.
 For this analysis you have to extract ingredients and their quantitites.
@@ -45,4 +45,73 @@ RECIPE:
         model=kwargs["model"],
         messages=[create_message("user", task)],
         response_format={ "type": "json_object" }
-    ).choices[0].message.content)
\ No newline at end of file
+    ).choices[0].message.content)
+
+def img_recipe_analysis(recipe: str, **kwargs) -> dict[str, Any]:
+    """
+    Analyze a recipe in image returning ingredients and preparation steps
+    Call a MistralAI model with parameters in kwargs
+    :param recipe: path to image recipe file
+    :param kwargs:
+    :return: dict containing ingredients and preparation method
+    """
+
+    img = encode_image(recipe)
+
+    client = Mistral(api_key=kwargs["api_key"])
+    ocr_answer = client.ocr.process(
+        model="mistral-ocr-2505",
+        document={
+            "type": "image_url",
+            "image_url":f"data:image/jpeg;base64,{img}"
+        },
+        include_image_base64=True
+    ).pages
+
+    text = "".join([page.markdown for page in ocr_answer])
+
+    with open("test.md", 'w') as f:
+        f.write(text)
+
+    return text_recipe_analysis(text, **kwargs)
+
+# def replace_ingredients(ingredients: list[str], **kwargs) -> dict[str, Any]:
+#     """
+#     Ask a model to find replacements for the ingredients indicated
+#     :param ingredients: List of ingredients to replace
+#     :param kwargs:
+#     :return: a dict with a list of replacements and indications about these replacements
+#     """
+#     task = """Your task is to find replacements for the ingredients that will be provided.
+#     You have to search the web to do so.
+#     For each ingredient, find 3 replacements.
+#     For each replacement give the name of the ingredient found and the quantity used to replace 1g of the ingredient.
+#     You also have to list the pros and the cons of using this replacement.
+#     You will return a list with each ingredient and its replacement.
+#
+#     Your answer must be formatted so that it can be stored in a json format.
+#     The json must be containing the fields:
+#     - 'ingredient': that is the ingredient to be replaced.
+#
+#     under 'ingredient', you will have the following field:
+#     - 'replacements': that is the list of 'replacement' ingredients.
+#
+#     Each 'replacement' will have the fields:
+#     - 'name': that is the name of the particular replacement;
+#     - 'quantity': that is the quantity of the particular replacement;
+#     - 'pros': A list of different benefits for this particular replacement;
+#     - 'cons': A list of different drawbacks for this particular replacement;
+#
+#     Here are the ingredients you hae to replace:
+#     """
+#
+#     for ingredient in ingredients:
+#         task += f"- {ingredient};\n"
+#
+#     client = Mistral(api_key=kwargs["api_key"])
+#     return json.loads(client.chat.complete(
+#         model=kwargs["model"],
+#         messages=[create_message("user", task)],
+#         tools=[{"type": "web_search"}],
+#         response_format={"type": "json_object"}
+#     ).choices[0].message.content)
\ No newline at end of file
diff --git a/src/utils.py b/src/utils.py
index aad5910..9f94f9c 100644
--- a/src/utils.py
+++ b/src/utils.py
@@ -3,6 +3,8 @@
 :mail: pro@quentin-leblanc.ch
 :brief: Utility functions
 """
+import base64
+
 
 def create_message(role: str, content: str) -> dict[str, str]:
     """
@@ -11,4 +13,17 @@ def create_message(role: str, content: str) -> dict[str, str]:
     :param content:
     :return:
     """
-    return {"role": role, "content": content}
\ No newline at end of file
+    return {"role": role, "content": content}
+
+# from https://docs.mistral.ai/capabilities/vision/
+def encode_image(image_path):
+    """Encode the image to base64."""
+    try:
+        with open(image_path, "rb") as image_file:
+            return base64.b64encode(image_file.read()).decode('utf-8')
+    except FileNotFoundError:
+        print(f"Error: The file {image_path} was not found.")
+        return None
+    except Exception as e:  # Added general exception handling
+        print(f"Error: {e}")
+        return None
\ No newline at end of file