diff --git a/docs/docs/integrations/document_loaders/upstage.ipynb b/docs/docs/integrations/document_loaders/upstage.ipynb
index c6348b758a890..6eb29aec20384 100644
--- a/docs/docs/integrations/document_loaders/upstage.ipynb
+++ b/docs/docs/integrations/document_loaders/upstage.ipynb
@@ -25,9 +25,9 @@
     }
    },
    "source": [
-    "# UpstageLayoutAnalysisLoader\n",
+    "# UpstageDocumentParseLoader\n",
     "\n",
-    "This notebook covers how to get started with `UpstageLayoutAnalysisLoader`.\n",
+    "This notebook covers how to get started with `UpstageDocumentParseLoader`.\n",
     "\n",
     "## Installation\n",
     "\n",
@@ -89,10 +89,10 @@
     }
    ],
    "source": [
-    "from langchain_upstage import UpstageLayoutAnalysisLoader\n",
+    "from langchain_upstage import UpstageDocumentParseLoader\n",
     "\n",
     "file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n",
-    "layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n",
+    "layzer = UpstageDocumentParseLoader(file_path, split=\"page\")\n",
     "\n",
     "# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n",
     "docs = layzer.load()  # or layzer.lazy_load()\n",
diff --git a/docs/docs/integrations/providers/upstage.ipynb b/docs/docs/integrations/providers/upstage.ipynb
index 9dfce63e3517c..8e5cb60310931 100644
--- a/docs/docs/integrations/providers/upstage.ipynb
+++ b/docs/docs/integrations/providers/upstage.ipynb
@@ -10,7 +10,7 @@
     ">\n",
     ">**Solar Mini Chat** is a fast yet powerful advanced large language model focusing on English and Korean. It has been specifically fine-tuned for multi-turn chat purposes, showing enhanced performance across a wide range of natural language processing tasks, like multi-turn conversation or tasks that require an understanding of long contexts, such as RAG (Retrieval-Augmented Generation), compared to other models of a similar size. This fine-tuning equips it with the ability to handle longer conversations more effectively, making it particularly adept for interactive applications.\n",
     "\n",
-    ">Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Groundedness Check** and **Layout Analysis**. \n"
+    ">Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Document Parse** and **Groundedness Check**. \n"
    ]
   },
   {
@@ -24,7 +24,7 @@
     "| Chat | Build assistants using Solar Mini Chat | `from langchain_upstage import ChatUpstage` | [Go](../../chat/upstage) |\n",
     "| Text Embedding | Embed strings to vectors | `from langchain_upstage import UpstageEmbeddings` | [Go](../../text_embedding/upstage) |\n",
     "| Groundedness Check | Verify groundedness of assistant's response | `from langchain_upstage import UpstageGroundednessCheck` | [Go](../../tools/upstage_groundedness_check) |\n",
-    "| Layout Analysis | Serialize documents with tables and figures | `from langchain_upstage import UpstageLayoutAnalysisLoader` | [Go](../../document_loaders/upstage) |\n",
+    "| Document Parse | Serialize documents with tables and figures | `from langchain_upstage import UpstageDocumentParseLoader` | [Go](../../document_loaders/upstage) |\n",
     "\n",
     "See [documentations](https://developers.upstage.ai/) for more details about the features."
    ]
@@ -122,7 +122,7 @@
    "source": [
     "## Document loader\n",
     "\n",
-    "### Layout Analysis\n",
+    "### Document Parse\n",
     "\n",
     "See [a usage example](/docs/integrations/document_loaders/upstage)."
    ]
@@ -133,10 +133,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_upstage import UpstageLayoutAnalysisLoader\n",
+    "from langchain_upstage import UpstageDocumentParseLoader\n",
     "\n",
     "file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n",
-    "layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n",
+    "layzer = UpstageDocumentParseLoader(file_path, split=\"page\")\n",
     "\n",
     "# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n",
     "docs = layzer.load()  # or layzer.lazy_load()\n",