diff --git a/backend/internal/adapters/openai/recipe.go b/backend/internal/adapters/openai/recipe.go
index df7e073..3ac61ab 100644
--- a/backend/internal/adapters/openai/recipe.go
+++ b/backend/internal/adapters/openai/recipe.go
@@ -7,7 +7,6 @@ import (
 	"strings"
 
 	"github.com/food-ai/backend/internal/adapters/ai"
-	"github.com/food-ai/backend/internal/infra/locale"
 )
 
 // goalNames maps internal goal codes to English descriptions used in the prompt.
@@ -57,18 +56,6 @@ func (c *Client) GenerateRecipes(ctx context.Context, req ai.RecipeRequest) ([]a
 }
 
 func buildRecipePrompt(req ai.RecipeRequest) string {
-	lang := req.Lang
-	if lang == "" {
-		lang = "en"
-	}
-	langName := "English"
-	for _, l := range locale.Languages {
-		if l.Code == lang {
-			langName = l.EnglishName
-			break
-		}
-	}
-
 	goal := goalNames[req.UserGoal]
 	if goal == "" {
 		goal = "weight maintenance"
@@ -100,7 +87,7 @@ func buildRecipePrompt(req ai.RecipeRequest) string {
 			strings.Join(req.AvailableProducts, "\n") + "\n"
 	}
 
-	return fmt.Sprintf(`You are a chef and nutritionist. Generate %d recipes in %s.
+	return fmt.Sprintf(`You are a chef and nutritionist. Generate %d recipes in English.
 
 User profile:
 - Goal: %s
@@ -114,7 +101,7 @@ Requirements for each recipe:
 - Include approximate macros per serving
 
 IMPORTANT:
-- All text fields (title, description, ingredient names, units, step descriptions, tags) MUST be in %s.
+- All text fields (title, description, ingredient names, units, step descriptions, tags) MUST be in English.
 - The "image_query" field MUST always be in English (it is used for stock-photo search).
 
 Return ONLY a valid JSON array without markdown or extra text:
@@ -131,7 +118,7 @@ Return ONLY a valid JSON array without markdown or extra text:
   "steps": [{"number": 1, "description": "...", "timer_seconds": null}],
   "tags": ["..."],
   "nutrition_per_serving": {"calories": 420, "protein_g": 48, "fat_g": 12, "carbs_g": 18}
-}]`, count, langName, goal, req.DailyCalories, restrictions, cuisines, productsSection, perMealCalories, langName)
+}]`, count, goal, req.DailyCalories, restrictions, cuisines, productsSection, perMealCalories)
 }
 
 func parseRecipesJSON(text string) ([]ai.Recipe, error) {
diff --git a/backend/internal/adapters/openai/recognition.go b/backend/internal/adapters/openai/recognition.go
index 7f153f8..e5b2f20 100644
--- a/backend/internal/adapters/openai/recognition.go
+++ b/backend/internal/adapters/openai/recognition.go
@@ -111,11 +111,7 @@ Return ONLY valid JSON without markdown:
 // RecognizeDish uses the vision model to identify a dish and estimate its nutritional content.
 // Returns 3–5 ranked candidates so the user can correct mis-identifications.
 func (c *Client) RecognizeDish(ctx context.Context, imageBase64, mimeType, lang string) (*ai.DishResult, error) {
-	langName := langNames[lang]
-	if langName == "" {
-		langName = "English"
-	}
-	prompt := fmt.Sprintf(`You are a dietitian and culinary expert.
+	prompt := `You are a dietitian and culinary expert.
 
 Look at the dish photo and suggest 3 to 5 possible dishes it could be.
 Even if the first option is obvious, add 2–4 alternative dishes with lower confidence.
@@ -128,7 +124,7 @@ For each candidate specify:
 
 Sort candidates by descending confidence. First — most likely.
 
-Return dish_name values in %s.
+Return dish_name values in English.
 Return ONLY valid JSON without markdown:
 {
   "candidates": [
@@ -151,7 +147,7 @@ Return ONLY valid JSON without markdown:
       "confidence": 0.65
     }
   ]
-}`, langName)
+}`
 
 	text, err := c.generateVisionContent(ctx, prompt, imageBase64, mimeType)
 	if err != nil {