diff --git a/inference-engine/tools/benchmark_tool/README.md b/inference-engine/tools/benchmark_tool/README.md
index 42222c2abb4..68da2058758 100644
--- a/inference-engine/tools/benchmark_tool/README.md
+++ b/inference-engine/tools/benchmark_tool/README.md
@@ -141,7 +141,7 @@ This section provides step-by-step instructions on how to run the Benchmark Tool
 
 1. Download the model. Go to the the Model Downloader directory and run the `downloader.py` script with specifying the model name and directory to download the model to:
    ```sh
-   cd <INSTAL_DIR>/deployment_tools/open_model_zoo/tools/downloader
+   cd <INSTALL_DIR>/deployment_tools/open_model_zoo/tools/downloader
    ```
    ```sh
    python3 downloader.py --name googlenet-v1 -o <models_dir>
@@ -171,7 +171,7 @@ If you set `-exec_graph_path`, the application reports executable graph informat
 Below are fragments of sample output for CPU and FPGA devices: 
 * For CPU:
    ```
-   [Step 8/9] Measuring performance (Start inference asyncronously, 60000 ms duration, 4 inference requests in parallel using 4 streams)
+   [Step 8/9] Measuring performance (Start inference asynchronously, 60000 ms duration, 4 inference requests in parallel using 4 streams)
    Progress: |................................| 100.00%
 
    [Step 9/9] Dumping statistics report
@@ -184,7 +184,7 @@ Below are fragments of sample output for CPU and FPGA devices:
    ```
 * For FPGA:
    ```
-   [Step 10/11] Measuring performance (Start inference asyncronously, 5 inference requests using 1 streams for CPU, limits: 120000 ms duration)
+   [Step 10/11] Measuring performance (Start inference asynchronously, 5 inference requests using 1 streams for CPU, limits: 120000 ms duration)
    Progress: |................................| 100%
 
    [Step 11/11] Dumping statistics report
diff --git a/inference-engine/tools/cross_check_tool/cross_check_tool.py b/inference-engine/tools/cross_check_tool/cross_check_tool.py
index 0bbc3ec7d4e..d45d9601eac 100644
--- a/inference-engine/tools/cross_check_tool/cross_check_tool.py
+++ b/inference-engine/tools/cross_check_tool/cross_check_tool.py
@@ -82,8 +82,8 @@ def get_net_copy_with_output(model: str, output: str, core: IECore):
         if founded_op:
             net_copy.add_outputs(output)
         else:
-            splitted = output.rsplit(".", 1)
-            net_copy.add_outputs((splitted[0], int(splitted[1])))
+            split = output.rsplit(".", 1)
+            net_copy.add_outputs((split[0], int(split[1])))
     return net_copy
 
 
diff --git a/inference-engine/tools/vpu/vpu_perfcheck/main.cpp b/inference-engine/tools/vpu/vpu_perfcheck/main.cpp
index 97261e8e794..43448e62c17 100644
--- a/inference-engine/tools/vpu/vpu_perfcheck/main.cpp
+++ b/inference-engine/tools/vpu/vpu_perfcheck/main.cpp
@@ -682,7 +682,7 @@ static float f16tof32(short x) {
         u |= s;
     }
 
-    // finaly represent result as float and return
+    // finally represent result as float and return
     return *reinterpret_cast<float *>(&u);
 }
 
diff --git a/tools/README.md b/tools/README.md
index 7cd2e07d853..5abaf9566a5 100644
--- a/tools/README.md
+++ b/tools/README.md
@@ -7,7 +7,7 @@
 Please, refer to https://docs.openvinotoolkit.org for details.
 
 ## Installation
-Choose neccessary Python\* version and define `PYTHONPATH` environment variable.
+Choose necessary Python\* version and define `PYTHONPATH` environment variable.
 
 ### Prerequisites
 
diff --git a/tools/benchmark/README.md b/tools/benchmark/README.md
index a83467fca03..25f7967df46 100644
--- a/tools/benchmark/README.md
+++ b/tools/benchmark/README.md
@@ -161,7 +161,7 @@ Additionally, if you set the `-pc` parameter, the application outputs performanc
 If you set `-exec_graph_path`, the application reports executable graph information serialized.
 
 ```
-[Step 8/9] Measuring performance (Start inference asyncronously, 60000 ms duration, 4 inference requests in parallel using 4 streams)
+[Step 8/9] Measuring performance (Start inference asynchronously, 60000 ms duration, 4 inference requests in parallel using 4 streams)
 Progress: |................................| 100.00%
 
 [Step 9/9] Dumping statistics report
diff --git a/tools/benchmark/utils/statistics_report.py b/tools/benchmark/utils/statistics_report.py
index 4eb78fa91e9..241c196675c 100644
--- a/tools/benchmark/utils/statistics_report.py
+++ b/tools/benchmark/utils/statistics_report.py
@@ -88,7 +88,7 @@ class StatisticsReport:
             return
 
         if not perf_counts:
-            logger.info('Peformance counters are empty. No reports are dumped.')
+            logger.info('Performance counters are empty. No reports are dumped.')
             return
 
         filename = os.path.join(self.config.report_folder, 'benchmark_{}_report.csv'.format(self.config.report_type))
diff --git a/tools/benchmark/utils/utils.py b/tools/benchmark/utils/utils.py
index 4a549b6794f..703622b4557 100644
--- a/tools/benchmark/utils/utils.py
+++ b/tools/benchmark/utils/utils.py
@@ -146,7 +146,7 @@ def parse_nstreams_value_per_device(devices, values_string):
 
 
 def process_help_inference_string(benchmark_app):
-    output_string = 'Start inference {}ronously'.format(benchmark_app.api_type)
+    output_string = 'Start inference {}hronously'.format(benchmark_app.api_type)
     if benchmark_app.api_type == 'async':
         output_string += ', {} inference requests'.format(benchmark_app.nireq)