diff --git a/docs/converters/bohb.rst b/docs/converters/bohb.rst
index 89d1ae0b..681da493 100644
--- a/docs/converters/bohb.rst
+++ b/docs/converters/bohb.rst
@@ -7,7 +7,7 @@ To load an BOHB run into DeepCAVE, it is necessary to install HpBandSter, e.g. v
 
         pip install deepcave[bohb]
 
-To be able to load it correctly into DeepCAVE, you need save the configuration space as a ConfigSpace JSON file:
+To be able to load it correctly into DeepCAVE, you need to save the configuration space as a ConfigSpace JSON file:
 
    .. code-block:: python
 
diff --git a/docs/converters/custom_converters.rst b/docs/converters/custom_converters.rst
index 9f5467ff..d8820a6a 100644
--- a/docs/converters/custom_converters.rst
+++ b/docs/converters/custom_converters.rst
@@ -71,7 +71,7 @@ Step 3: Implement the methods
    Inside this method, you have to provide a configspace, objectives, and meta data, as well as the
    trials, which have to be added to the newly created run object.
 
-4. **is_valid_run**: This method sould return True, if the given path belongs to a valid run. Valid means, that the given run
+4. **is_valid_run**: This method should return True if the given path belongs to a valid run. Valid means that the given run
    directory contains all files that are necessary for further processing (e.g. a configspace.json).
    
 Step 5: Document your converter
diff --git a/docs/converters/smac.rst b/docs/converters/smac.rst
index e6f75eda..7d0e7e92 100644
--- a/docs/converters/smac.rst
+++ b/docs/converters/smac.rst
@@ -7,7 +7,7 @@ runs created with the newer SMAC version >= 2.0.0.
 As Auto-Sklearn and Auto-PyTorch rely on SMAC for hyperparameter optimization, the SMAC
 converter also allows to load runs created with these tools.
 
-To be able to load it correctly into DeepCAVE, you need save the configuration space as a ConfigSpace JSON file,
+To be able to load it correctly into DeepCAVE, you need to save the configuration space as a ConfigSpace JSON file,
 as well as the run history:
 
    .. code-block:: python