diff --git a/examples/structured_outputs/structured-outputs-image.ts b/examples/structured_outputs/structured-outputs-image.ts
new file mode 100644
index 0000000..8067948
--- /dev/null
+++ b/examples/structured_outputs/structured-outputs-image.ts
@@ -0,0 +1,78 @@
+import { Ollama } from '../../src/index.js';
+import { z } from 'zod';
+import { zodToJsonSchema } from 'zod-to-json-schema';
+import { readFileSync } from 'fs';
+import { resolve } from 'path';
+import { createInterface } from 'readline';
+
+const ollama = new Ollama();
+
+// Define the schema for image objects
+const ObjectSchema = z.object({
+    name: z.string(),
+    confidence: z.number(),
+    attributes: z.record(z.any()).optional()
+});
+
+// Define the schema for image description
+const ImageDescriptionSchema = z.object({
+    summary: z.string(),
+    objects: z.array(ObjectSchema),
+    scene: z.string(),
+    colors: z.array(z.string()),
+    time_of_day: z.enum(['Morning', 'Afternoon', 'Evening', 'Night']),
+    setting: z.enum(['Indoor', 'Outdoor', 'Unknown']),
+    text_content: z.string().optional()
+});
+
+async function run() {
+    // Create readline interface for user input
+    const rl = createInterface({
+        input: process.stdin,
+        output: process.stdout
+    });
+
+    // Get path from user input
+    const path = await new Promise<string>(resolve => {
+        rl.question('Enter the path to your image: ', resolve);
+    });
+    rl.close();
+
+    // Verify the file exists and read it
+    try {
+        const imagePath = resolve(path);
+        const imageBuffer = readFileSync(imagePath);
+        const base64Image = imageBuffer.toString('base64');
+
+        // Convert the Zod schema to JSON Schema format
+        const jsonSchema = zodToJsonSchema(ImageDescriptionSchema);
+
+        const messages = [{
+            role: 'user',
+            content: 'Analyze this image and return a detailed JSON description including objects, scene, colors and any text detected. If you cannot determine certain details, leave those fields empty.',
+            images: [base64Image]
+        }];
+
+        const response = await ollama.chat({
+            model: 'llama3.2-vision',
+            messages: messages,
+            format: jsonSchema,
+            options: {
+                temperature: 0 // Make responses more deterministic
+            }
+        });
+
+        // Parse and validate the response
+        try {
+            const imageAnalysis = ImageDescriptionSchema.parse(JSON.parse(response.message.content));
+            console.log('\nImage Analysis:', imageAnalysis, '\n');
+        } catch (error) {
+            console.error("Generated invalid response:", error);
+        }
+
+    } catch (error) {
+        console.error("Error reading image file:", error);
+    }
+}
+
+run().catch(console.error);
diff --git a/examples/structured_outputs/structured_outputs.ts b/examples/structured_outputs/structured-outputs.ts
similarity index 100%
rename from examples/structured_outputs/structured_outputs.ts
rename to examples/structured_outputs/structured-outputs.ts