diff --git a/modules/dnn/src/tokenizer/tokenizer.cpp b/modules/dnn/src/tokenizer/tokenizer.cpp
index 2f332604d1..5d933754f0 100644
--- a/modules/dnn/src/tokenizer/tokenizer.cpp
+++ b/modules/dnn/src/tokenizer/tokenizer.cpp
@@ -73,6 +73,35 @@ struct GemmaBpeTokenizerImpl : public Tokenizer::Impl {
     }
 };
 
+struct SentencePieceTokenizerImpl : public Tokenizer::Impl {
+    CoreGemmaBPE model;
+    std::unordered_set<std::string> allowedSpecial;
+    int bosTokenId;
+
+    explicit SentencePieceTokenizerImpl(CoreGemmaBPE m,
+                                        std::unordered_set<std::string> special = {},
+                                        int bos = -1)
+        : model(std::move(m)), allowedSpecial(std::move(special)), bosTokenId(bos) {}
+
+    std::vector<int> encode(const std::string& text) override {
+        std::vector<int> ids = model.encode(text, allowedSpecial);
+        // HuggingFace SentencePiece tokenizers (Gemma2) prepend <bos> automatically
+        if (bosTokenId >= 0) {
+            ids.insert(ids.begin(), bosTokenId);
+        }
+        return ids;
+    }
+
+    std::string decode(const std::vector<int>& tokens) override {
+        // Skip the bos token if present at the beginning
+        if (bosTokenId >= 0 && !tokens.empty() && tokens.front() == bosTokenId) {
+            std::vector<int> stripped(tokens.begin() + 1, tokens.end());
+            return model.decode(stripped);
+        }
+        return model.decode(tokens);
+    }
+};
+
 static Ptr<GemmaBpeTokenizerImpl> buildGemmaFromJson(
         const std::string& json_path,
         std::unordered_set<std::string>* outSpecial = nullptr) {
@@ -147,6 +176,93 @@ static Ptr<GemmaBpeTokenizerImpl> buildGemmaFromJson(
     return makePtr<GemmaBpeTokenizerImpl>(std::move(gemma), std::move(special));
 }
 
+static Ptr<SentencePieceTokenizerImpl> buildSentencePieceFromJson(
+        const std::string& json_path,
+        std::unordered_set<std::string>* outSpecial = nullptr) {
+
+    cv::FileStorage fs(json_path, cv::FileStorage::READ | cv::FileStorage::FORMAT_JSON);
+    if (!fs.isOpened())
+        CV_Error(cv::Error::StsError, "Failed to open tokenizer.json: " + json_path);
+
+    cv::FileNode model_node = fs["model"];
+    CV_CheckFalse(model_node.empty(), "tokenizer.json missing 'model'");
+
+    std::string model_type;
+    model_node["type"] >> model_type;
+    if (model_type != "BPE")
+        CV_Error(cv::Error::StsError,
+            "Expected BPE model in tokenizer.json for SentencePiece, got: " + model_type);
+
+    CoreGemmaBPE gemma;
+
+    cv::FileNode vocab_node = model_node["vocab"];
+    CV_CheckFalse(vocab_node.empty(), "tokenizer.json model missing 'vocab'");
+
+    int maxId = -1;
+    for (auto it = vocab_node.begin(); it != vocab_node.end(); ++it) {
+        cv::FileNode entry = *it;
+        std::string piece = entry.name();
+        int id = (int)entry;
+        if (id > maxId) maxId = id;
+        gemma.pieceToId[piece] = id;
+    }
+
+    gemma.idToPiece.resize(maxId + 1);
+    for (const auto& kv : gemma.pieceToId)
+        gemma.idToPiece[kv.second] = kv.first;
+
+    cv::FileNode merges_node = model_node["merges"];
+    if (!merges_node.empty()) {
+        uint32_t rank = 0;
+        for (auto it = merges_node.begin(); it != merges_node.end(); ++it) {
+            cv::FileNode entry = *it;
+            std::string a, b;
+            if (entry.isString()) {
+                // SentencePiece format: "a b" (single string with space separator)
+                std::string merge_str;
+                entry >> merge_str;
+                size_t sp = merge_str.find(' ');
+                if (sp == std::string::npos) {
+                    ++rank;
+                    continue;
+                }
+                a = merge_str.substr(0, sp);
+                b = merge_str.substr(sp + 1);
+            } else if (entry.size() == 2) {
+                // Array format: ["a", "b"]
+                entry[0] >> a;
+                entry[1] >> b;
+            } else {
+                ++rank;
+                continue;
+            }
+            gemma.addMerge(a, b, rank);
+            ++rank;
+        }
+    }
+
+    std::unordered_set<std::string> special;
+    int bosId = -1;
+    cv::FileNode added = fs["added_tokens"];
+    if (!added.empty()) {
+        for (auto it = added.begin(); it != added.end(); ++it) {
+            cv::FileNode t = *it;
+            int id = -1;         t["id"]      >> id;
+            std::string content; t["content"] >> content;
+            if (id >= 0 && !content.empty()) {
+                gemma.specialToId[content] = id;
+                gemma.idToSpecial[id]      = content;
+                special.insert(content);
+                if (outSpecial) outSpecial->insert(content);
+                // Capture <bos> token id for SentencePiece auto-prepend
+                if (content == "<bos>") bosId = id;
+            }
+        }
+    }
+
+    return makePtr<SentencePieceTokenizerImpl>(std::move(gemma), std::move(special), bosId);
+}
+
 static void registerDefaultTokenizers() {
     auto& reg = tokenizerRegistry();
     if (reg.find("BPE") == reg.end()) {
@@ -175,6 +291,14 @@ static void registerDefaultTokenizers() {
             return buildGemmaFromJson(tok_json, &special);
         };
     }
+
+    if (reg.find("SentencePiece") == reg.end()) {
+        reg["SentencePiece"] = [](const FileStorage& /*cfg*/, const std::string& dir) -> Ptr<Tokenizer::Impl> {
+            std::string tok_json = dir + "tokenizer.json";
+            std::unordered_set<std::string> special;
+            return buildSentencePieceFromJson(tok_json, &special);
+        };
+    }
 }
 
 Tokenizer::Tokenizer() : impl_(nullptr) {}
@@ -275,7 +399,7 @@ Tokenizer Tokenizer::load(const std::string& model_config) {
     auto it = reg.find(methodType);
     if (it == reg.end())
         CV_Error(cv::Error::StsError,
-            "Unsupported tokenizer method: '" + methodType + "'. Supported: BPE, Gemma");
+            "Unsupported tokenizer method: '" + methodType + "'. Supported: BPE, Gemma, SentencePiece");
 
     Tokenizer tok;
     tok.impl_ = it->second(cfg, dir);
diff --git a/modules/dnn/test/test_tokenizer.cpp b/modules/dnn/test/test_tokenizer.cpp
index ad0965f94f..38e3005df7 100644
--- a/modules/dnn/test/test_tokenizer.cpp
+++ b/modules/dnn/test/test_tokenizer.cpp
@@ -197,4 +197,44 @@ TEST(Tokenizer_Gemma, Tokenizer_Gemma3_Roundtrip) {
     }
 }
 
+// Gemma2 tests (SentencePiece tokenizer)
+TEST(Tokenizer_SentencePiece, Tokenizer_Gemma2_English) {
+    std::string model = _tf("gemma2/config.json");
+    Tokenizer tok = Tokenizer::load(model);
+    EXPECT_EQ(tok.encode("Hello world"), (std::vector<int>{2, 4521, 2134}));
+}
+
+TEST(Tokenizer_SentencePiece, Tokenizer_Gemma2_Phrase) {
+    std::string model = _tf("gemma2/config.json");
+    Tokenizer tok = Tokenizer::load(model);
+    EXPECT_EQ(tok.encode("the quick brown fox"),
+              (std::vector<int>{2, 1175, 4320, 8426, 25341}));
+}
+
+TEST(Tokenizer_SentencePiece, Tokenizer_Gemma2_Mixed) {
+    std::string model = _tf("gemma2/config.json");
+    Tokenizer tok = Tokenizer::load(model);
+    EXPECT_EQ(tok.encode("OpenCV"), (std::vector<int>{2, 6047, 17813}));
+}
+
+TEST(Tokenizer_SentencePiece, Tokenizer_Gemma2_Numbers) {
+    std::string model = _tf("gemma2/config.json");
+    Tokenizer tok = Tokenizer::load(model);
+    EXPECT_EQ(tok.encode("2024"), (std::vector<int>{2, 235284, 235276, 235284, 235310}));
+}
+
+TEST(Tokenizer_SentencePiece, Tokenizer_Gemma2_Roundtrip) {
+    std::string model = _tf("gemma2/config.json");
+    Tokenizer tok = Tokenizer::load(model);
+    std::vector<std::string> cases = {
+        "Hello world",
+        "the quick brown fox",
+        "OpenCV",
+        "hello world",
+    };
+    for (const auto& text : cases) {
+        EXPECT_EQ(tok.decode(tok.encode(text)), text);
+    }
+}
+
 }}