diff --git a/doc/filters.texi b/doc/filters.texi
index 7f0c3cb99c..973a93345d 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -7743,6 +7743,11 @@ The file path of the downloaded whisper.cpp model (mandatory).
 The language to use for transcription ('auto' for auto-detect).
 Default value: @code{"auto"}
 
+@item translate
+If enabled, translate the transcription from the source language to English. A
+multilingual model is required to enable this option.
+Default value: @code{"false"}
+
 @item queue
 The maximum size that will be queued into the filter before processing the audio
 with whisper. Using a small value the audio stream will be processed more often,
diff --git a/libavfilter/af_whisper.c b/libavfilter/af_whisper.c
index 299a8bca7a..cb1c7b2ecf 100644
--- a/libavfilter/af_whisper.c
+++ b/libavfilter/af_whisper.c
@@ -42,6 +42,7 @@ typedef struct WhisperContext {
     const AVClass *class;
     char *model_path;
     char *language;
+    bool translate;
     bool use_gpu;
     int gpu_device;
     char *vad_model_path;
@@ -150,6 +151,18 @@ static int init(AVFilterContext *ctx)
         wctx->avio_context->direct = AVIO_FLAG_DIRECT;
     }
 
+    if (!whisper_is_multilingual(wctx->ctx_wsp)) {
+        if (!wctx->translate && strcmp(wctx->language, "auto") == 0) {
+            av_log(ctx, AV_LOG_WARNING,
+                   "Multilingual model not provided. Non-English audio may not be correctly transcribed.\n");
+        } else if (wctx->translate || (strcmp(wctx->language, "auto") != 0 && strcmp(wctx->language, "en") != 0)) {
+            av_log(ctx, AV_LOG_ERROR,
+                   "%s requested but multilingual model not provided.\n", wctx->translate ? "Translation" : "Transcription");
+            return AVERROR(ENOSYS);
+        }
+        wctx->language = "en";
+    }
+
     av_log(ctx, AV_LOG_INFO,
            "Whisper filter initialized: model: %s lang: %s queue: %" PRId64 " ms\n",
            wctx->model_path, wctx->language, wctx->queue / 1000);
@@ -200,6 +213,7 @@ static void run_transcription(AVFilterContext *ctx, AVFrame *frame, int samples)
 
     struct whisper_full_params params = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
     params.language = wctx->language;
+    params.translate = wctx->translate;
     params.n_threads = ff_filter_get_nb_threads(ctx);
     params.print_special = 0;
     params.print_progress = 0;
@@ -443,6 +457,7 @@ static int query_formats(const AVFilterContext *ctx,
 static const AVOption whisper_options[] = {
     { "model", "Path to the whisper.cpp model file", OFFSET(model_path), AV_OPT_TYPE_STRING,.flags = FLAGS },
     { "language", "Language for transcription ('auto' for auto-detect)", OFFSET(language), AV_OPT_TYPE_STRING, {.str = "auto"}, .flags = FLAGS },
+    { "translate", "Translate from source language to English", OFFSET(translate), AV_OPT_TYPE_BOOL, {.i64 = 0}, 0, 1, .flags = FLAGS },
     { "queue", "Audio queue size", OFFSET(queue), AV_OPT_TYPE_DURATION, {.i64 = 3000000}, 20000, HOURS, .flags = FLAGS },
     { "use_gpu", "Use GPU for processing", OFFSET(use_gpu), AV_OPT_TYPE_BOOL, {.i64 = 1}, 0, 1, .flags = FLAGS },
     { "gpu_device", "GPU device to use", OFFSET(gpu_device), AV_OPT_TYPE_INT, {.i64 = 0}, 0, INT_MAX, .flags = FLAGS },