diff --git a/docs/source/backend/gpu_codegen.md b/docs/source/backend/gpu_codegen.md
index 2e3709b24ff81c5383ee26c0eb04e04159b61da3..1082669e640c989cad0b994ac70818f22a3517bb 100644
--- a/docs/source/backend/gpu_codegen.md
+++ b/docs/source/backend/gpu_codegen.md
@@ -76,7 +76,7 @@ the `ManualLaunchConfiguration` requires the user to manually specifiy both grid
 The `evaluate` method can only be used from within a Python runtime environment.
 When exporting pystencils CUDA kernels for external use in C++ projects,
 equivalent C++ code evaluating the launch config must be generated.
-This is the task of, e..g., [pystencils-sfg](https://pycodegen.pages.i10git.cs.fau.de/pystencils-sfg/).
+This is the task of, e.g., [pystencils-sfg](https://pycodegen.pages.i10git.cs.fau.de/pystencils-sfg/).
 
 
 ```{eval-rst}
diff --git a/docs/source/backend/platforms.md b/docs/source/backend/platforms.md
index 2a0df48ed63a6730c010dff7964bc88ec76e44b0..e7ffc6f1523272621d273a17624d6323c25651b1 100644
--- a/docs/source/backend/platforms.md
+++ b/docs/source/backend/platforms.md
@@ -1,7 +1,7 @@
 # Platforms
 
 All target-specific code generation in the pystencils backend is facilitated
-through  the *platform classes*.
+through the *platform classes*.
 This includes:
 
  - Materialization of the iteration space, meaning the mapping of iteration space points to some indexing structure