diff --git a/gateway/platforms/weixin.py b/gateway/platforms/weixin.py
index 8f4afd5f1b70..bd25319fc8b4 100644
--- a/gateway/platforms/weixin.py
+++ b/gateway/platforms/weixin.py
@@ -979,6 +979,18 @@ def _extract_text(item_list: List[Dict[str, Any]]) -> str:
             # gibberish). Return empty so the central STT pipeline in
             # ``gateway/run.py`` produces the body from the downloaded
             # audio instead.
+            voice_item = item.get("voice_item") or {}
+            if not (voice_item.get("media") or {}):
+                # No raw audio to download — Weixin supplied only its own
+                # speech-to-text result. Use it, but preserve the voice
+                # origin so the agent can distinguish this from text the
+                # user typed (#65022).
+                voice_text = str(voice_item.get("text") or "")
+                if voice_text:
+                    return (
+                        "[Voice transcription provided by Weixin]\n"
+                        f"{voice_text}"
+                    )
             continue
     return ""
 
diff --git a/tests/gateway/test_weixin.py b/tests/gateway/test_weixin.py
index 2d9a3609f3be..e5343d7e021d 100644
--- a/tests/gateway/test_weixin.py
+++ b/tests/gateway/test_weixin.py
@@ -27,6 +27,41 @@ def _make_adapter() -> WeixinAdapter:
     )
 
 
+class TestWeixinInboundVoiceTranscript:
+    def test_voice_transcript_keeps_voice_origin_marker(self):
+        item_list = [
+            {
+                "type": weixin.ITEM_VOICE,
+                "voice_item": {"text": "帮我查一下今天天气"},
+            }
+        ]
+
+        assert weixin._extract_text(item_list) == (
+            "[Voice transcription provided by Weixin]\n"
+            "帮我查一下今天天气"
+        )
+
+    def test_typed_text_remains_unmarked(self):
+        item_list = [
+            {
+                "type": weixin.ITEM_TEXT,
+                "text_item": {"text": "帮我查一下今天天气"},
+            }
+        ]
+
+        assert weixin._extract_text(item_list) == "帮我查一下今天天气"
+
+    def test_empty_voice_transcript_keeps_empty_fallback(self):
+        item_list = [
+            {
+                "type": weixin.ITEM_VOICE,
+                "voice_item": {"text": ""},
+            }
+        ]
+
+        assert weixin._extract_text(item_list) == ""
+
+
 class TestWeixinFormatting:
     def test_format_message_preserves_markdown(self):
         adapter = _make_adapter()