diff --git a/README.md b/README.md
index fe354ec93..5716a8a8d 100644
--- a/README.md
+++ b/README.md
@@ -167,6 +167,7 @@ Requirements: Python ≥ 3.8. Install PyTorch + torchaudio first ([pytorch.org](
 | **Fun-ASR-Nano** | ASR | zh/en/ja + Chinese dialects and accents | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) [GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) |
 | **Fun-ASR-MLT-Nano** | ASR | 31 languages | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-MLT-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-MLT-Nano-2512) |
 | **SenseVoiceSmall** | ASR + emotion + events | zh/en/ja/ko/yue | 234M | [⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) [GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF) [paper](https://arxiv.org/abs/2407.04051) |
+| **MOSS-Transcribe-Diarize** | Offline ASR + timestamps + anonymous speakers | See official card | See official card | [🤗](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) [guide](./docs/moss_transcribe_diarize.md) |
 | **Paraformer-zh** | ASR + timestamps | zh/en | 220M | [⭐](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗](https://huggingface.co/funasr/paraformer-zh) |
 | Paraformer-zh-streaming | Streaming ASR | zh/en | 220M | [⭐](https://modelscope.cn/models/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗](https://huggingface.co/funasr/paraformer-zh-streaming) |
 | Qwen3-ASR | ASR, 52 languages | multilingual | 1.7B | [usage](examples/industrial_data_pretraining/qwen3_asr) |
diff --git a/README_ja.md b/README_ja.md
index 64f61f545..6e84ee977 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -126,6 +126,7 @@ pip install funasr
 | **Fun-ASR-Nano** | 認識 | 中/英/日 + 中国語方言 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) [GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) |
 | **Fun-ASR-MLT-Nano** | 認識 | 31言語 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-MLT-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-MLT-Nano-2512) |
 | **SenseVoiceSmall** | 認識 + 感情 + イベント | 中/英/日/韓/粤 | 234M | [⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) [GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF) |
+| **MOSS-Transcribe-Diarize** | オフライン認識 + タイムスタンプ + 匿名話者 | 公式モデルカードを参照 | 公式モデルカードを参照 | [🤗](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) [ガイド](./docs/moss_transcribe_diarize.md) |
 | **Paraformer-zh** | 認識 + タイムスタンプ | 中/英 | 220M | [⭐](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗](https://huggingface.co/funasr/paraformer-zh) |
 | Qwen3-ASR | 認識、52言語 | 多言語 | 1.7B | [使用法](examples/industrial_data_pretraining/qwen3_asr) |
 | GLM-ASR-Nano | 認識、17言語 | 多言語 | 1.5B | [使用法](examples/industrial_data_pretraining/glm_asr) |
diff --git a/README_ko.md b/README_ko.md
index 72fcf190b..d4e25a621 100644
--- a/README_ko.md
+++ b/README_ko.md
@@ -126,6 +126,7 @@ pip install funasr
 | **Fun-ASR-Nano** | 인식 | 중/영/일 + 중국어 방언 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) [GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) |
 | **Fun-ASR-MLT-Nano** | 인식 | 31개 언어 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-MLT-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-MLT-Nano-2512) |
 | **SenseVoiceSmall** | 인식 + 감정 + 이벤트 | 중/영/일/한/광둥어 | 234M | [⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) [GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF) |
+| **MOSS-Transcribe-Diarize** | 오프라인 인식 + 타임스탬프 + 익명 화자 | 공식 모델 카드 참조 | 공식 모델 카드 참조 | [🤗](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) [가이드](./docs/moss_transcribe_diarize.md) |
 | **Paraformer-zh** | 인식 + 타임스탬프 | 중/영 | 220M | [⭐](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗](https://huggingface.co/funasr/paraformer-zh) |
 | Qwen3-ASR | 인식, 52개 언어 | 다국어 | 1.7B | [사용법](examples/industrial_data_pretraining/qwen3_asr) |
 | GLM-ASR-Nano | 인식, 17개 언어 | 다국어 | 1.5B | [사용법](examples/industrial_data_pretraining/glm_asr) |
diff --git a/README_zh.md b/README_zh.md
index 7b486d333..ba8a61491 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -186,6 +186,7 @@ pip install -e ./
 | **Fun-ASR-Nano** | 识别 | 中/英/日 + 中文方言 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) [GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) |
 | **Fun-ASR-MLT-Nano** | 识别 | 31 种语言 | 800M | [⭐](https://www.modelscope.cn/models/FunAudioLLM/Fun-ASR-MLT-Nano-2512) [🤗](https://huggingface.co/FunAudioLLM/Fun-ASR-MLT-Nano-2512) |
 | **SenseVoiceSmall** | 识别 + 情感 + 事件 | 中/英/日/韩/粤 | 234M | [⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) [GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF) [论文](https://arxiv.org/abs/2407.04051) |
+| **MOSS-Transcribe-Diarize** | 离线识别 + 时间戳 + 匿名说话人 | 以官方模型卡为准 | 以官方模型卡为准 | [🤗](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) [指南](./docs/moss_transcribe_diarize_zh.md) |
 | **Paraformer-zh** | 识别 + 时间戳 | 中/英 | 220M | [⭐](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗](https://huggingface.co/funasr/paraformer-zh) |
 | Paraformer-zh-streaming | 流式识别 | 中/英 | 220M | [⭐](https://modelscope.cn/models/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗](https://huggingface.co/funasr/paraformer-zh-streaming) |
 | Qwen3-ASR | 识别，52 种语言 | 多语言 | 1.7B | [使用](examples/industrial_data_pretraining/qwen3_asr) |