diff --git a/src/arcaea_offline/external/andreal/__init__.py b/src/arcaea_offline/external/andreal/__init__.py
new file mode 100644
index 0000000..204ee24
--- /dev/null
+++ b/src/arcaea_offline/external/andreal/__init__.py
@@ -0,0 +1 @@
+from .api_data import AndrealImageGeneratorApiDataConverter
diff --git a/src/arcaea_offline/external/andreal/account.py b/src/arcaea_offline/external/andreal/account.py
new file mode 100644
index 0000000..f8e0d7a
--- /dev/null
+++ b/src/arcaea_offline/external/andreal/account.py
@@ -0,0 +1,14 @@
+class AndrealImageGeneratorAccount:
+    def __init__(
+        self,
+        name: str = "Player",
+        code: int = 123456789,
+        rating: int = 750,
+        character: int = 5,
+        character_uncapped: bool = False,
+    ):
+        self.name = name
+        self.code = code
+        self.rating = rating
+        self.character = character
+        self.character_uncapped = character_uncapped
diff --git a/src/arcaea_offline/external/andreal/api_data.py b/src/arcaea_offline/external/andreal/api_data.py
new file mode 100644
index 0000000..f8830c0
--- /dev/null
+++ b/src/arcaea_offline/external/andreal/api_data.py
@@ -0,0 +1,93 @@
+from typing import Optional, Union
+
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from ...models import CalculatedPotential, ScoreBest, ScoreCalculated
+from .account import AndrealImageGeneratorAccount
+
+
+class AndrealImageGeneratorApiDataConverter:
+    def __init__(
+        self,
+        session: Session,
+        account: AndrealImageGeneratorAccount = AndrealImageGeneratorAccount(),
+    ):
+        self.session = session
+        self.account = account
+
+    def account_info(self):
+        return {
+            "code": self.account.code,
+            "name": self.account.name,
+            "is_char_uncapped": self.account.character_uncapped,
+            "rating": self.account.rating,
+            "character": self.account.character,
+        }
+
+    def score(self, score: Union[ScoreCalculated, ScoreBest]):
+        return {
+            "score": score.score,
+            "health": 75,
+            "rating": score.potential,
+            "song_id": score.song_id,
+            "modifier": score.modifier or 0,
+            "difficulty": score.rating_class,
+            "clear_type": score.clear_type or 1,
+            "best_clear_type": score.clear_type or 1,
+            "time_played": score.date or 0,
+            "near_count": score.far,
+            "miss_count": score.lost,
+            "perfect_count": score.pure,
+            "shiny_perfect_count": score.shiny_pure,
+        }
+
+    def user_info(self, score: Optional[ScoreCalculated] = None):
+        if not score:
+            score = self.session.scalar(
+                select(ScoreCalculated).order_by(ScoreCalculated.date.desc()).limit(1)
+            )
+        if not score:
+            raise ValueError("No score available.")
+
+        return {
+            "content": {
+                "account_info": self.account_info(),
+                "recent_score": [self.score(score)],
+            }
+        }
+
+    def user_best(self, song_id: str, rating_class: int):
+        score = self.session.scalar(
+            select(ScoreBest).where(
+                (ScoreBest.song_id == song_id)
+                & (ScoreBest.rating_class == rating_class)
+            )
+        )
+        if not score:
+            raise ValueError("No score available.")
+
+        return {
+            "content": {
+                "account_info": self.account_info(),
+                "record": self.score(score),
+            }
+        }
+
+    def user_best30(self, limit: int = 40):
+        scores = list(
+            self.session.scalars(
+                select(ScoreBest).order_by(ScoreBest.potential.desc()).limit(limit)
+            )
+        )
+        if not scores:
+            raise ValueError("No score available.")
+        best30_avg = self.session.scalar(select(CalculatedPotential.b30))
+
+        return {
+            "content": {
+                "account_info": self.account_info(),
+                "best30_avg": best30_avg,
+                "best30_list": [self.score(score) for score in scores],
+            }
+        }