diff --git a/modules/core/src/channels.cpp b/modules/core/src/channels.cpp
index 4e464d910c..11d95ecc72 100644
--- a/modules/core/src/channels.cpp
+++ b/modules/core/src/channels.cpp
@@ -237,11 +237,11 @@ static bool ocl_mixChannels(InputArrayOfArrays _src, InputOutputArrayOfArrays _d
         dstargs[i] = dst[dst_idx];
         dstargs[i].offset += dst_cnidx * esz;
 
-        declsrc += format("DECLARE_INPUT_MAT(%d)", i);
-        decldst += format("DECLARE_OUTPUT_MAT(%d)", i);
-        indexdecl += format("DECLARE_INDEX(%d)", i);
-        declproc += format("PROCESS_ELEM(%d)", i);
-        declcn += format(" -D scn%d=%d -D dcn%d=%d", i, src[src_idx].channels(), i, dst[dst_idx].channels());
+        declsrc += format("DECLARE_INPUT_MAT(%zu)", i);
+        decldst += format("DECLARE_OUTPUT_MAT(%zu)", i);
+        indexdecl += format("DECLARE_INDEX(%zu)", i);
+        declproc += format("PROCESS_ELEM(%zu)", i);
+        declcn += format(" -D scn%zu=%d -D dcn%zu=%d", i, src[src_idx].channels(), i, dst[dst_idx].channels());
     }
 
     ocl::Kernel k("mixChannels", ocl::core::mixchannels_oclsrc,
diff --git a/modules/core/src/lda.cpp b/modules/core/src/lda.cpp
index a339b39136..618b9bb451 100644
--- a/modules/core/src/lda.cpp
+++ b/modules/core/src/lda.cpp
@@ -184,7 +184,7 @@ Mat LDA::subspaceProject(InputArray _W, InputArray _mean, InputArray _src) {
     }
     // make sure mean is correct if not empty
     if(!mean.empty() && (mean.total() != (size_t) d)) {
-        String error_message = format("Wrong mean shape for the given data matrix. Expected %d, but was %d.", d, mean.total());
+        String error_message = format("Wrong mean shape for the given data matrix. Expected %d, but was %zu.", d, mean.total());
         CV_Error(Error::StsBadArg, error_message);
     }
     // create temporary matrices
@@ -222,7 +222,7 @@ Mat LDA::subspaceReconstruct(InputArray _W, InputArray _mean, InputArray _src)
     }
     // make sure mean is correct if not empty
     if(!mean.empty() && (mean.total() != (size_t) W.rows)) {
-        String error_message = format("Wrong mean shape for the given eigenvector matrix. Expected %d, but was %d.", W.cols, mean.total());
+        String error_message = format("Wrong mean shape for the given eigenvector matrix. Expected %d, but was %zu.", W.cols, mean.total());
         CV_Error(Error::StsBadArg, error_message);
     }
     // initialize temporary matrices
@@ -1076,7 +1076,7 @@ void LDA::lda(InputArrayOfArrays _src, InputArray _lbls) {
     }
     // throw error if less labels, than samples
     if (labels.size() != static_cast<size_t>(N)) {
-        String error_message = format("The number of samples must equal the number of labels. Given %d labels, %d samples. ", labels.size(), N);
+        String error_message = format("The number of samples must equal the number of labels. Given %zu labels, %d samples. ", labels.size(), N);
         CV_Error(Error::StsBadArg, error_message);
     }
     // warn if within-classes scatter matrix becomes singular
diff --git a/modules/core/src/matrix_operations.cpp b/modules/core/src/matrix_operations.cpp
index 6d865a51a9..288f881c21 100644
--- a/modules/core/src/matrix_operations.cpp
+++ b/modules/core/src/matrix_operations.cpp
@@ -892,7 +892,7 @@ static bool ocl_reduce(InputArray _src, OutputArray _dst,
             tileHeight = min(tileHeight, defDev.localMemSize() / buf_cols / CV_ELEM_SIZE(CV_MAKETYPE(wdepth, cn)) / maxItemInGroupCount);
         }
         char cvt[3][40];
-        cv::String build_opt = format("-D OP_REDUCE_PRE -D BUF_COLS=%d -D TILE_HEIGHT=%d -D %s -D dim=1"
+        cv::String build_opt = format("-D OP_REDUCE_PRE -D BUF_COLS=%d -D TILE_HEIGHT=%zu -D %s -D dim=1"
                                             " -D cn=%d -D ddepth=%d"
                                             " -D srcT=%s -D bufT=%s -D dstT=%s"
                                             " -D convertToWT=%s -D convertToBufT=%s -D convertToDT=%s%s",
diff --git a/modules/core/src/ocl.cpp b/modules/core/src/ocl.cpp
index 50dd13b533..ed4d143bc1 100644
--- a/modules/core/src/ocl.cpp
+++ b/modules/core/src/ocl.cpp
@@ -3104,9 +3104,9 @@ bool Kernel::Impl::run(int dims, size_t globalsize[], size_t localsize[],
     if (retval != CL_SUCCESS)
 #endif
     {
-        cv::String msg = cv::format("clEnqueueNDRangeKernel('%s', dims=%d, globalsize=%dx%dx%d, localsize=%s) sync=%s", name.c_str(), (int)dims,
+        cv::String msg = cv::format("clEnqueueNDRangeKernel('%s', dims=%d, globalsize=%zux%zux%zu, localsize=%s) sync=%s", name.c_str(), (int)dims,
                         globalsize[0], (dims > 1 ? globalsize[1] : 1), (dims > 2 ? globalsize[2] : 1),
-                        (localsize ? cv::format("%dx%dx%d", localsize[0], (dims > 1 ? localsize[1] : 1), (dims > 2 ? localsize[2] : 1)) : cv::String("NULL")).c_str(),
+                        (localsize ? cv::format("%zux%zux%zu", localsize[0], (dims > 1 ? localsize[1] : 1), (dims > 2 ? localsize[2] : 1)) : cv::String("NULL")).c_str(),
                         sync ? "true" : "false"
                         );
         if (retval != CL_SUCCESS)
@@ -3317,7 +3317,7 @@ struct ProgramSource::Impl
         default:
             CV_Error(Error::StsInternal, "Internal error");
         }
-        sourceHash_ = cv::format("%08llx", hash);
+        sourceHash_ = cv::format("%08jx", hash);
         isHashUpdated = true;
     }
 
diff --git a/modules/core/test/test_io.cpp b/modules/core/test/test_io.cpp
index 33583b4d1b..6b75037d8e 100644
--- a/modules/core/test/test_io.cpp
+++ b/modules/core/test/test_io.cpp
@@ -584,23 +584,23 @@ TEST(Core_InputOutput, FileStorageSpaces)
     const int valueCount = 5;
     std::string values[5] = { "", " ", " ", "  a", " some string" };
     for (size_t i = 0; i < valueCount; i++) {
-        EXPECT_NO_THROW(f << cv::format("key%d", i) << values[i]);
+        EXPECT_NO_THROW(f << cv::format("key%zu", i) << values[i]);
     }
     cv::FileStorage f2(f.releaseAndGetString(), cv::FileStorage::READ | cv::FileStorage::MEMORY);
     std::string valuesRead[valueCount];
     for (size_t i = 0; i < valueCount; i++) {
-        EXPECT_NO_THROW(f2[cv::format("key%d", i)] >> valuesRead[i]);
+        EXPECT_NO_THROW(f2[cv::format("key%zu", i)] >> valuesRead[i]);
         ASSERT_STREQ(values[i].c_str(), valuesRead[i].c_str());
     }
     std::string fileName = cv::tempfile(".xml");
     cv::FileStorage g1(fileName, cv::FileStorage::WRITE);
     for (size_t i = 0; i < 2; i++) {
-        EXPECT_NO_THROW(g1 << cv::format("key%d", i) << values[i]);
+        EXPECT_NO_THROW(g1 << cv::format("key%zu", i) << values[i]);
     }
     g1.release();
     cv::FileStorage g2(fileName, cv::FileStorage::APPEND);
     for (size_t i = 2; i < valueCount; i++) {
-        EXPECT_NO_THROW(g2 << cv::format("key%d", i) << values[i]);
+        EXPECT_NO_THROW(g2 << cv::format("key%zu", i) << values[i]);
     }
     g2.release();
     cv::FileStorage g3(fileName, cv::FileStorage::READ);
diff --git a/modules/imgproc/src/featureselect.cpp b/modules/imgproc/src/featureselect.cpp
index 7727644145..40d5551667 100644
--- a/modules/imgproc/src/featureselect.cpp
+++ b/modules/imgproc/src/featureselect.cpp
@@ -126,7 +126,7 @@ static bool ocl_goodFeaturesToTrack( InputArray _image, OutputArray _corners,
             return false;
 
         ocl::Kernel k2("maxEigenValTask", ocl::imgproc::gftt_oclsrc,
-                       format("-D OP_MAX_EIGEN_VAL -D WGS=%d -D WGS2_ALIGNED=%d -D groupnum=%d",
+                       format("-D OP_MAX_EIGEN_VAL -D WGS=%zu -D WGS2_ALIGNED=%d -D groupnum=%d",
                               wgs, wgs2_aligned, dbsize));
         if (k2.empty())
             return false;
diff --git a/modules/imgproc/src/histogram.cpp b/modules/imgproc/src/histogram.cpp
index 59384fce7d..c116a988f8 100644
--- a/modules/imgproc/src/histogram.cpp
+++ b/modules/imgproc/src/histogram.cpp
@@ -1123,7 +1123,7 @@ static bool ocl_calcHist1(InputArray _src, OutputArray _hist, int ddepth = CV_32
     int kercn = dev.isAMD() && use16 ? 16 : std::min(4, ocl::predictOptimalVectorWidth(_src));
 
     ocl::Kernel k1("calculate_histogram", ocl::imgproc::histogram_oclsrc,
-                   format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d -D kercn=%d -D T=%s%s",
+                   format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%zu -D kercn=%d -D T=%s%s",
                           BINS, compunits, wgs, kercn,
                           kercn == 4 ? "int" : ocl::typeToStr(CV_8UC(kercn)),
                           _src.isContinuous() ? " -D HAVE_SRC_CONT" : ""));
@@ -3253,7 +3253,7 @@ static bool ocl_equalizeHist(InputArray _src, OutputArray _dst)
     int kercn = dev.isAMD() && use16 ? 16 : std::min(4, ocl::predictOptimalVectorWidth(_src));
 
     ocl::Kernel k1("calculate_histogram", ocl::imgproc::histogram_oclsrc,
-                   format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d -D kercn=%d -D T=%s%s",
+                   format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%zu -D kercn=%d -D T=%s%s",
                           BINS, compunits, wgs, kercn,
                           kercn == 4 ? "int" : ocl::typeToStr(CV_8UC(kercn)),
                           _src.isContinuous() ? " -D HAVE_SRC_CONT" : ""));
diff --git a/modules/objdetect/src/hog.cpp b/modules/objdetect/src/hog.cpp
index aec2febaa2..2553d2fa43 100644
--- a/modules/objdetect/src/hog.cpp
+++ b/modules/objdetect/src/hog.cpp
@@ -1328,7 +1328,7 @@ static bool ocl_compute_hists(int nbins, int block_stride_x, int block_stride_y,
     if(is_cpu)
        opts = "-D CPU ";
     else
-        opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+        opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
     k.create("compute_hists_lut_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
     if(k.empty())
         return false;
@@ -1401,7 +1401,7 @@ static bool ocl_normalize_hists(int nbins, int block_stride_x, int block_stride_
         if(is_cpu)
            opts = "-D CPU ";
         else
-            opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+            opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
         k.create("normalize_hists_36_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
         if(k.empty())
             return false;
@@ -1420,7 +1420,7 @@ static bool ocl_normalize_hists(int nbins, int block_stride_x, int block_stride_
         if(is_cpu)
            opts = "-D CPU ";
         else
-            opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+            opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
         k.create("normalize_hists_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
         if(k.empty())
             return false;
@@ -1870,7 +1870,7 @@ static bool ocl_classify_hists(int win_height, int win_width, int block_stride_y
         if(is_cpu)
            opts = "-D CPU ";
         else
-            opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+            opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
         k.create("classify_hists_180_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
         if(k.empty())
             return false;
@@ -1886,7 +1886,7 @@ static bool ocl_classify_hists(int win_height, int win_width, int block_stride_y
         if(is_cpu)
            opts = "-D CPU ";
         else
-            opts = cv::format("-D WAVE_SIZE=%d", k.preferedWorkGroupSizeMultiple());
+            opts = cv::format("-D WAVE_SIZE=%zu", k.preferedWorkGroupSizeMultiple());
         k.create("classify_hists_252_kernel", ocl::objdetect::objdetect_hog_oclsrc, opts);
         if(k.empty())
             return false;
diff --git a/modules/videoio/src/container_avi.cpp b/modules/videoio/src/container_avi.cpp
index d6a7a059e4..208d558482 100644
--- a/modules/videoio/src/container_avi.cpp
+++ b/modules/videoio/src/container_avi.cpp
@@ -22,7 +22,7 @@ inline D safe_int_cast(S val, const char * msg = 0)
     if (!in_range_r || !in_range_l)
     {
         if (!msg)
-            CV_Error_(Error::StsOutOfRange, ("Can not convert integer values (%s -> %s), value 0x%llx is out of range", typeid(S).name(), typeid(D).name(), val));
+            CV_Error_(Error::StsOutOfRange, ("Can not convert integer values (%s -> %s), value 0x%jx is out of range", typeid(S).name(), typeid(D).name(), int64(val)));
         else
             CV_Error(Error::StsOutOfRange, msg);
     }