diff --git a/README.md b/README.md
index a2bb371c..610ef555 100644
--- a/README.md
+++ b/README.md
@@ -50,6 +50,7 @@ These online demos run entirely in your browser:
   object recognition.
 - [whisper](https://huggingface.co/spaces/lmz/candle-whisper): text to speech.
 - [LLaMA2](https://huggingface.co/spaces/lmz/candle-llama2): text generation.
+- [Segment Anything Model](https://huggingface.co/spaces/radames/candle-segment-anything-wasm): Image segmentation.
 
 We also provide a some command line based examples using state of the art models:
 
@@ -96,7 +97,8 @@ There are also some wasm examples for whisper and
 [llama2.c](https://github.com/karpathy/llama2.c). You can either build them with
 `trunk` or try them online:
 [whisper](https://huggingface.co/spaces/lmz/candle-whisper),
-[llama2](https://huggingface.co/spaces/lmz/candle-llama2).
+[llama2](https://huggingface.co/spaces/lmz/candle-llama2),
+[Segment Anything Model](https://huggingface.co/spaces/radames/candle-segment-anything-wasm).
 
 For LLaMA2, run the following command to retrieve the weight files and start a
 test server:
diff --git a/candle-wasm-examples/segment-anything/Cargo.toml b/candle-wasm-examples/segment-anything/Cargo.toml
index b67de112..a847424d 100644
--- a/candle-wasm-examples/segment-anything/Cargo.toml
+++ b/candle-wasm-examples/segment-anything/Cargo.toml
@@ -27,3 +27,4 @@ serde_json = { workspace = true }
 # Wasm specific crates.
 console_error_panic_hook = "0.1.7"
 wasm-bindgen = "0.2.87"
+serde-wasm-bindgen = "0.6.0"
diff --git a/candle-wasm-examples/segment-anything/samWorker.js b/candle-wasm-examples/segment-anything/samWorker.js
index b90498de..c1a152ef 100644
--- a/candle-wasm-examples/segment-anything/samWorker.js
+++ b/candle-wasm-examples/segment-anything/samWorker.js
@@ -141,8 +141,7 @@ self.addEventListener("message", async (event) => {
     }
 
     self.postMessage({ status: "segmenting", message: "Segmenting" });
-    const result = sam.mask_for_point(points.x, points.y);
-    const { mask, image } = JSON.parse(result);
+    const { mask, image } = sam.mask_for_point(points.x, points.y);
     const maskDataURL = await createImageCanvas(mask, image);
     // Send the segment back to the main thread as JSON
     self.postMessage({
diff --git a/candle-wasm-examples/segment-anything/src/bin/m.rs b/candle-wasm-examples/segment-anything/src/bin/m.rs
index 949c18a0..5140b979 100644
--- a/candle-wasm-examples/segment-anything/src/bin/m.rs
+++ b/candle-wasm-examples/segment-anything/src/bin/m.rs
@@ -76,7 +76,7 @@ impl Model {
     }
 
     // x and y have to be between 0 and 1
-    pub fn mask_for_point(&self, x: f64, y: f64) -> Result<String, JsError> {
+    pub fn mask_for_point(&self, x: f64, y: f64) -> Result<JsValue, JsError> {
         if !(0. ..=1.).contains(&x) {
             Err(JsError::new(&format!(
                 "x has to be between 0 and 1, got {x}"
@@ -112,8 +112,7 @@ impl Model {
             width: embeddings.width,
             height: embeddings.height,
         };
-        let json = serde_json::to_string(&MaskImage { mask, image })?;
-        Ok(json)
+        Ok(serde_wasm_bindgen::to_value(&MaskImage { mask, image })?)
     }
 }