diff --git a/codegen/__init__.py b/codegen/__init__.py
index b2b7767a..d194bc4e 100644
--- a/codegen/__init__.py
+++ b/codegen/__init__.py
@@ -11,7 +11,7 @@ def main():
 
     log = io.StringIO()
     with PrintToFile(log):
-        print("# Code generatation report")
+        print("# Code generation report")
         prepare()
         update_api()
         update_wgpu_native()
diff --git a/docs/guide.rst b/docs/guide.rst
index c0dab996..3d476eca 100644
--- a/docs/guide.rst
+++ b/docs/guide.rst
@@ -115,7 +115,7 @@ Offscreen
 +++++++++
 
 If you render offscreen, or only do compute, you do not need a canvas. You also won't need a GUI toolkit, draw function or enter the event loop.
-Instead, you will obtain a command encoder and submit it's records to the queue directly.
+Instead, you will obtain a command encoder and submit its records to the queue directly.
 
 
 Examples and external resources
diff --git a/examples/compute_noop.py b/examples/compute_noop.py
index b353a09f..8e9d08b5 100644
--- a/examples/compute_noop.py
+++ b/examples/compute_noop.py
@@ -35,7 +35,7 @@
 # %% The short version, using memoryview
 
 # The first arg is the input data, per binding
-# The second arg are the output types, per binding
+# The second arg is the output types, per binding
 out = compute_with_buffers({0: data}, {1: (n, "i")}, shader_source, n=n)
 
 # The result is a dict matching the output types
diff --git a/wgpu/resources/codegen_report.md b/wgpu/resources/codegen_report.md
index ce53a383..7c72d1fc 100644
--- a/wgpu/resources/codegen_report.md
+++ b/wgpu/resources/codegen_report.md
@@ -1,4 +1,4 @@
-# Code generatation report
+# Code generation report
 ## Preparing
 * The webgpu.idl defines 37 classes with 75 functions
 * The webgpu.idl defines 5 flags, 34 enums, 60 structs