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86        const buffer = new Uint8Array(await res.arrayBuffer())
87        const base64 = btoa(String.fromCharCode(...buffer))
88        faviconDataUrl = `data:image/x-icon;base64,${base64}`
89      }
90    } catch {
150      ${badgeBg}
151      ${valueBg}
152      ${faviconDataUrl ? `<image x='${iconX}' y='${Math.round((s.height - s.icon) / 2)}' width='${s.icon}' height='${s.icon}' href='${faviconDataUrl}'/>` : ''}
153      ${labelText ? `<text x='${labelTextX}' y='${s.y}' fill='#333' text-anchor='${faviconDataUrl ? 'start' : 'middle'}'>${labelText}</text>` : ''}
154      ${valueText ? `<text x='${labelWidth + iconWidth + valueWidth / 2}' y='${s.y}' fill='${textColor}' text-anchor='middle'>${valueText}</text>` : ''}
156    `,
157    {
158      headers: { 'Content-Type': 'image/svg+xml' }
159    }
160  )

71    tags: Array.isArray(recipe.tags) ? recipe.tags.filter(tag => typeof tag === "string") : undefined,
72    source: recipe.source && typeof recipe.source === "string" ? recipe.source.trim() : undefined,
73    imageUrl: recipe.imageUrl && typeof recipe.imageUrl === "string" ? recipe.imageUrl.trim() : undefined,
74  };
75}
125// System prompt for recipe parsing
126const RECIPE_PARSING_PROMPT =
127  `You are a recipe parsing expert. Your task is to extract structured recipe information from various sources (text, images, PDFs).
128
129IMPORTANT: You must return ONLY a valid JSON object with no additional text, markdown formatting, or explanations.
237});
238
239app.post("/image", async (c) => {
240  try {
241    const { content: base64Image } = await c.req.json() as ParseRequest;
242
243    console.log("Processing image upload, base64 length:", base64Image?.length);
244
245    // Validate base64 image
246    if (!base64Image || base64Image.length < 100) {
247      return c.json({ success: false, error: "Invalid or empty image data" } as ParseResponse);
248    }
249
250    // Use OpenAI Vision to parse recipe from image
251    const completion = await openai.chat.completions.create({
252      model: "gpt-4o-mini",
259              type: "text",
260              text:
261                "Parse the recipe from this image. Extract all visible recipe information including title, ingredients with amounts, and cooking steps.",
262            },
263            {
264              type: "image_url",
265              image_url: {
266                url: base64Image.startsWith("data:") ? base64Image : `data:image/jpeg;base64,${base64Image}`,
267              },
268            },
306      const rawRecipe = JSON.parse(jsonText);
307      const recipe = validateAndCleanRecipe(rawRecipe);
308      recipe.source = "Image upload";
309
310      return c.json({ success: true, recipe } as ParseResponse);
318    }
319  } catch (error) {
320    console.error("Image parsing error:", error);
321    return c.json({
322      success: false,
323      error: `Failed to parse recipe from image: ${error.message}`,
324    } as ParseResponse);
325  }