diff --git a/.codespellrc b/.codespellrc
new file mode 100644
index 0000000..19a9d8e
--- /dev/null
+++ b/.codespellrc
@@ -0,0 +1,6 @@
+[codespell]
+# Ref: https://github.com/codespell-project/codespell#using-a-config-file
+skip = .git*,.codespellrc
+check-hidden = true
+# ignore-regex = 
+ignore-words-list = vor
diff --git a/.github/workflows/codespell.yml b/.github/workflows/codespell.yml
new file mode 100644
index 0000000..c59e047
--- /dev/null
+++ b/.github/workflows/codespell.yml
@@ -0,0 +1,25 @@
+# Codespell configuration is within .codespellrc
+---
+name: Codespell
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+permissions:
+  contents: read
+
+jobs:
+  codespell:
+    name: Check for spelling errors
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Annotate locations with typos
+        uses: codespell-project/codespell-problem-matcher@v1
+      - name: Codespell
+        uses: codespell-project/actions-codespell@v2
diff --git a/README.md b/README.md
index 51525f8..c33708b 100644
--- a/README.md
+++ b/README.md
@@ -144,7 +144,7 @@ title = 'Über formal unentscheidbare Sätze der Principia Mathematica und verwa
 get_citations_from_title(title)
 ```
 
-*NOTE*: The scholar endpoint does not require authentification but since it regularly
+*NOTE*: The scholar endpoint does not require authentication but since it regularly
 prompts with captchas, it's difficult to apply large scale.
 
 ### Journal impact factor
diff --git a/paperscraper/postprocessing.py b/paperscraper/postprocessing.py
index f1f0cbd..58e17b8 100644
--- a/paperscraper/postprocessing.py
+++ b/paperscraper/postprocessing.py
@@ -52,7 +52,7 @@ def aggregate_paper(
     if not isinstance(bins_per_year, int):
         raise ValueError(f"Expected int, received {type(bins_per_year)}")
     if 12 % bins_per_year != 0:
-        raise ValueError(f"Cant split year into {bins_per_year} bins")
+        raise ValueError(f"Can't split year into {bins_per_year} bins")
 
     num_years = last_year - start_year + 1
     bins = np.zeros((num_years * bins_per_year))