diff --git a/anndata/_core/merge.py b/anndata/_core/merge.py
index 1a4663e8c..15a64876f 100644
--- a/anndata/_core/merge.py
+++ b/anndata/_core/merge.py
@@ -718,7 +718,7 @@ def concat_Xs(adatas, reindexers, axis, fill_value):
     elif any(X is None for X in Xs):
         raise NotImplementedError(
             "Some (but not all) of the AnnData's to be concatenated had no .X value. "
-            "Concatenation is currently only implmented for cases where all or none of"
+            "Concatenation is currently only implemented for cases where all or none of"
             " the AnnData's have .X assigned."
         )
     else:
diff --git a/anndata/_io/read.py b/anndata/_io/read.py
index 07d325d12..43383ab8a 100644
--- a/anndata/_io/read.py
+++ b/anndata/_io/read.py
@@ -227,7 +227,7 @@ def read_loom(
         )
         if obsm_mapping != {}:
             raise ValueError(
-                "Recieved values for both `obsm_names` and `obsm_mapping`. This is "
+                "Received values for both `obsm_names` and `obsm_mapping`. This is "
                 "ambiguous, only pass `obsm_mapping`."
             )
         obsm_mapping = obsm_names
@@ -239,7 +239,7 @@ def read_loom(
         )
         if varm_mapping != {}:
             raise ValueError(
-                "Recieved values for both `varm_names` and `varm_mapping`. This is "
+                "Received values for both `varm_names` and `varm_mapping`. This is "
                 "ambiguous, only pass `varm_mapping`."
             )
         varm_mapping = varm_names
diff --git a/anndata/experimental/multi_files/_anncollection.py b/anndata/experimental/multi_files/_anncollection.py
index c483f7426..e8e574b43 100644
--- a/anndata/experimental/multi_files/_anncollection.py
+++ b/anndata/experimental/multi_files/_anncollection.py
@@ -150,7 +150,7 @@ def iterate_axis(
                 batch = self[:, idx]
             else:
                 batch = self[idx]
-            # only happens if the last batch is smaller then batch_size
+            # only happens if the last batch is smaller than batch_size
             if len(batch) < batch_size and drop_last:
                 continue
 
@@ -482,7 +482,7 @@ def convert(self):
         A function or a Mapping of functions which will be applied
         to the values of attributes (`.X`) or to specific keys of these attributes
         (`.obs`, `.obsm`, `.layers`).
-        The keys of the the Mapping should correspond to the attributes or keys of the
+        The keys of the Mapping should correspond to the attributes or keys of the
         attributes (hierarchically) and the values should be functions used for conversion.
 
         Examples
@@ -806,7 +806,7 @@ def convert(self):
         (`.obs`, `.obsm`, `.layers`) of subset objects. The converters are not
         applied to `.obs` and `.obsm` (if present) of this object, only to the attributes
         of subset objects.
-        The keys of the the Mapping should correspond to the attributes or keys of the
+        The keys of the Mapping should correspond to the attributes or keys of the
         attributes (hierarchically) and the values should be functions used for conversion.
 
         Examples
diff --git a/anndata/experimental/pytorch/_annloader.py b/anndata/experimental/pytorch/_annloader.py
index 409d3f3be..5ffeb7956 100644
--- a/anndata/experimental/pytorch/_annloader.py
+++ b/anndata/experimental/pytorch/_annloader.py
@@ -37,7 +37,7 @@ def __iter__(self):
         for i in range(0, self.n_obs, self.batch_size):
             batch = indices[i : min(i + self.batch_size, self.n_obs)]
 
-            # only happens if the last batch is smaller then batch_size
+            # only happens if the last batch is smaller than batch_size
             if len(batch) < self.batch_size and self.drop_last:
                 continue