diff --git a/chandra/model/hf.py b/chandra/model/hf.py
index b88eb9e..50aa883 100644
--- a/chandra/model/hf.py
+++ b/chandra/model/hf.py
@@ -5,7 +5,6 @@ from transformers import Qwen3VLForConditionalGeneration, Qwen3VLProcessor
 
 from chandra.model.schema import BatchInputItem, GenerationResult
 from chandra.model.util import scale_to_fit
-from chandra.output import fix_raw
 from chandra.prompts import PROMPT_MAPPING
 from chandra.settings import settings
 
@@ -43,7 +42,7 @@ def generate_hf(
         clean_up_tokenization_spaces=False,
     )
     results = [
-        GenerationResult(raw=fix_raw(out), token_count=len(ids), error=False)
+        GenerationResult(raw=out, token_count=len(ids), error=False)
         for out, ids in zip(output_text, generated_ids_trimmed)
     ]
     return results
diff --git a/chandra/model/vllm.py b/chandra/model/vllm.py
index 5528571..1aabf69 100644
--- a/chandra/model/vllm.py
+++ b/chandra/model/vllm.py
@@ -9,7 +9,6 @@ from openai import OpenAI
 
 from chandra.model.schema import BatchInputItem, GenerationResult
 from chandra.model.util import scale_to_fit, detect_repeat_token
-from chandra.output import fix_raw
 from chandra.prompts import PROMPT_MAPPING
 from chandra.settings import settings
 
@@ -76,7 +75,6 @@ def generate_vllm(
                 top_p=top_p,
             )
             raw = completion.choices[0].message.content
-            raw = fix_raw(raw)
             result = GenerationResult(
                 raw=raw,
                 token_count=completion.usage.completion_tokens,
diff --git a/chandra/output.py b/chandra/output.py
index 9afe54a..47e9f98 100644
--- a/chandra/output.py
+++ b/chandra/output.py
@@ -22,15 +22,6 @@ def get_image_name(html: str, div_idx: int):
     return f"{html_hash}_{div_idx}_img.webp"
 
 
-def fix_raw(html: str):
-    def replace_group(match):
-        numbers = re.findall(r"\d+", match.group(0))
-        return "[" + ",".join(numbers) + "]"
-
-    result = re.sub(r"(?:\|BBOX\d+\|){4}", replace_group, html)
-    return result
-
-
 def extract_images(html: str, chunks: dict, image: Image.Image):
     images = {}
     div_idx = 0
@@ -242,8 +233,13 @@ def parse_layout(html: str, image: Image.Image):
 
         try:
             bbox = json.loads(bbox)
+            assert len(bbox) == 4, "Invalid bbox length"
         except Exception:
-            bbox = [0, 0, 1, 1]
+            try:
+                bbox = bbox.split(" ")
+                assert len(bbox) == 4, "Invalid bbox length"
+            except Exception:
+                bbox = [0, 0, 1, 1]
 
         bbox = list(map(int, bbox))
         # Normalize bbox