diff --git a/docs/stitching-api.md b/docs/stitching-api.md
index 7748256..aad09ab 100644
--- a/docs/stitching-api.md
+++ b/docs/stitching-api.md
@@ -14,6 +14,6 @@ df_stitched = stitch(df_left=df_left, df_right=df_right, shared=False)
 
 `df_left` and `df_right` are dataframes. They must have at least one column in common. Stitching will take place on the common columns. `df_stitched` will contain the common columns as well as the non-common columns from both `df_left` and `df_right`. `df_left` and `df_right` do not need to have the same number of rows, but in practice they should not differ by more than a few rows. Otherwise, the quality of `df_stitched` will be poor (many dropped or replicated rows from `df_left` and `df_right`).
 
-`shared` is `True` be default. If `shared==False`, then the common columns in `df_left` will be preserved in `df_stitched`: they will not be modified by the stitching procedure. If `shared==True`, then the common columns in both `df_left` and `df_right` will be modified.
+`shared` is `True` by default. If `shared==False`, then the common columns in `df_left` will be preserved in `df_stitched`: they will not be modified by the stitching procedure. If `shared==True`, then the common columns in both `df_left` and `df_right` will be modified.
 
 Examples of stitching can be found at `tests/test_stitcher.py`.
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