diff --git a/packages/transformers/src/models/whisper/modeling_whisper.js b/packages/transformers/src/models/whisper/modeling_whisper.js
index dfca02672..9f73f6fab 100644
--- a/packages/transformers/src/models/whisper/modeling_whisper.js
+++ b/packages/transformers/src/models/whisper/modeling_whisper.js
@@ -1,5 +1,5 @@
 import { cat, mean, Tensor, stack, std_mean } from '../../utils/tensor.js';
-import { PreTrainedModel } from '../modeling_utils.js';
+import { PreTrainedModel, encoder_forward, decoder_forward } from '../modeling_utils.js';
 import { WhisperGenerationConfig } from './generation_whisper.js';
 import { whisper_language_to_code } from './common_whisper.js';
 import {
@@ -39,6 +39,50 @@ export class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
         );
     }
 
+    /**
+     * Detects the language of the input audio by running a single forward pass.
+     * Feeds `<|startoftranscript|>` as the only decoder input and examines
+     * the logits at the next token position, masked to language tokens only.
+     * @param {Tensor} input_features The log-mel spectrogram input.
+     * @param {WhisperGenerationConfig} generation_config The generation config containing `lang_to_id` and `decoder_start_token_id`.
+     * @returns {Promise<number>} The detected language token ID.
+     */
+    async detect_language(input_features, generation_config) {
+        // 1. Encode audio
+        const encoder_outputs = (await encoder_forward(this, { input_features })).last_hidden_state;
+
+        // 2. Prepare decoder input: just the <|startoftranscript|> token
+        const sot_token = generation_config.decoder_start_token_id;
+        const decoder_input_ids = new Tensor('int64', BigInt64Array.from([BigInt(sot_token)]), [1, 1]);
+
+        // 3. Run decoder forward pass
+        const decoder_outputs = await decoder_forward(
+            this,
+            {
+                input_ids: decoder_input_ids,
+                encoder_hidden_states: encoder_outputs,
+            },
+            true,
+        );
+
+        // 4. Get logits at the last (only) position and convert to float32
+        const logits_data = decoder_outputs.logits[0][0].to('float32').data;
+
+        // 5. Mask non-language tokens to -Infinity, then argmax
+        const lang_token_ids = new Set(Object.values(generation_config.lang_to_id));
+        let max_score = -Infinity;
+        let detected_token_id = -1;
+        for (let i = 0; i < logits_data.length; i++) {
+            if (!lang_token_ids.has(i)) continue;
+            if (logits_data[i] > max_score) {
+                max_score = logits_data[i];
+                detected_token_id = i;
+            }
+        }
+
+        return detected_token_id;
+    }
+
     /**
      *
      * @param {WhisperGenerationConfig} generation_config
@@ -56,7 +100,6 @@ export class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
         const task = generation_config.task;
         if (generation_config.is_multilingual) {
             if (!language) {
-                // TODO: Implement language detection
                 logger.warn('No language specified - defaulting to English (en).');
                 language = 'en';
             }
@@ -116,6 +159,18 @@ export class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
     }) {
         generation_config = this._prepare_generation_config(generation_config, kwargs);
 
+        // Auto-detect language if not specified on multilingual models
+        if (generation_config.is_multilingual && !generation_config.language && inputs) {
+            const detected_token_id = await this.detect_language(inputs, generation_config);
+            // Reverse lookup: token_id -> language token string -> language code
+            const id_to_lang = Object.fromEntries(Object.entries(generation_config.lang_to_id).map(([k, v]) => [v, k]));
+            const language_token = id_to_lang[detected_token_id]; // e.g., "<|ko|>"
+            if (language_token) {
+                generation_config.language = language_token.slice(2, -2); // e.g., "ko"
+                logger.info(`Detected language: ${generation_config.language}`);
+            }
+        }
+
         const init_tokens = kwargs.decoder_input_ids ?? this._retrieve_init_tokens(generation_config);
 
         if (generation_config.return_timestamps) {