diff --git a/.cursorrules b/.cursorrules
index 31bd6766..70cb37ea 100644
--- a/.cursorrules
+++ b/.cursorrules
@@ -40,7 +40,7 @@
   def locate(
       self,
       locator: str | Locator,
-      screenshot: Img | None = None,
+      screenshot: InputSource | None = None,
       model: ModelComposition | str | None = None,
   ) -> Point:
       """
@@ -48,7 +48,7 @@
 
       Args:
           locator (str | Locator): The identifier or description of the element to locate.
-          screenshot (Img | None, optional): The screenshot to use for locating the
+          screenshot (InputSource | None, optional): The screenshot to use for locating the
               element. Can be a path to an image file, a PIL Image object or a data URL.
               If `None`, takes a screenshot of the currently selected screen.
           model (ModelComposition | str | None, optional): The composition or name of
diff --git a/README.md b/README.md
index c8c19368..0ec0175d 100644
--- a/README.md
+++ b/README.md
@@ -756,6 +756,17 @@ with VisionAgent() as agent:
   as we try different models under the hood with your schema to see which one works best.
 - PDF processing is only supported for Gemini models hosted on AskUI and for PDFs up to 20MB.
 
+### 📄 Document Processing with `markitdown`
+
+When extracting data from documents like Docs or Excel files, we use the `markitdown` library to convert them into markdown format. We chose `markitdown` over other tools for several reasons:
+
+- **LLM-Friendly Output:** The markdown output is optimized for token usage, which is efficient for subsequent processing with large language models.
+- **Includes Sheet Names:** When converting Excel files, the name of the sheet is included in the generated markdown, providing better context.
+- **Enhanced Image Descriptions:** It can use an OpenAI client (`llm_client` and `llm_model`) to generate more descriptive captions for images within documents.
+- **No Local Inference:** No model inference is performed on the client machine, which means no need to install and maintain heavy packages like `torch`.
+- **Optional Dependencies:** It allows for optional imports, meaning you only need to install the dependencies for the file types you are working with. This reduces the number of packages to manage.
+- **Microsoft Maintained:** Being maintained by Microsoft, it offers robust support for converting Office documents.
+
 ## What is AskUI Vision Agent?
 
 **AskUI Vision Agent** is a versatile AI powered framework that enables you to automate computer tasks in Python.
diff --git a/pdm.lock b/pdm.lock
index e4020b63..1b361717 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "all", "android", "chat", "dev", "mcp", "pynput", "test", "web"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:d6c650ba146a47cd38d87783aa405fd730daf80a573ce3d618dd2fa7b190db43"
+content_hash = "sha256:beb091cad08638d0d09be80ec10830745be0024dbe05a33bbd111a865950bba4"
 
 [[metadata.targets]]
 requires_python = ">=3.10"
@@ -108,6 +108,21 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
+[[package]]
+name = "beautifulsoup4"
+version = "4.13.4"
+requires_python = ">=3.7.0"
+summary = "Screen-scraping library"
+groups = ["default"]
+dependencies = [
+    "soupsieve>1.2",
+    "typing-extensions>=4.0.0",
+]
+files = [
+    {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
+    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
+]
+
 [[package]]
 name = "black"
 version = "25.1.0"
@@ -294,7 +309,7 @@ name = "click"
 version = "8.1.8"
 requires_python = ">=3.7"
 summary = "Composable command line interface toolkit"
-groups = ["all", "chat", "dev", "mcp"]
+groups = ["default", "all", "chat", "dev", "mcp"]
 dependencies = [
     "colorama; platform_system == \"Windows\"",
     "importlib-metadata; python_version < \"3.8\"",
@@ -304,6 +319,17 @@ files = [
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
 ]
 
+[[package]]
+name = "cobble"
+version = "0.1.4"
+requires_python = ">=3.5"
+summary = "Create data objects"
+groups = ["default"]
+files = [
+    {file = "cobble-0.1.4-py3-none-any.whl", hash = "sha256:36c91b1655e599fd428e2b95fdd5f0da1ca2e9f1abb0bc871dec21a0e78a2b44"},
+    {file = "cobble-0.1.4.tar.gz", hash = "sha256:de38be1539992c8a06e569630717c485a5f91be2192c461ea2b220607dfa78aa"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -316,6 +342,21 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+summary = "Colored terminal output for Python's logging module"
+groups = ["default"]
+marker = "python_version > \"3.9\""
+dependencies = [
+    "humanfriendly>=9.1",
+]
+files = [
+    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
+    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
+]
+
 [[package]]
 name = "coverage"
 version = "7.8.0"
@@ -536,6 +577,17 @@ files = [
     {file = "datamodel_code_generator-0.31.2.tar.gz", hash = "sha256:47887b8aa6fd69865e07e2893c1e76e34dae753b9a97f1020357af8337bc4cdb"},
 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+summary = "XML bomb protection for Python stdlib modules"
+groups = ["default"]
+files = [
+    {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
+    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -596,6 +648,17 @@ files = [
     {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
 ]
 
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+requires_python = ">=3.8"
+summary = "An implementation of lxml.xmlfile for the standard library"
+groups = ["default"]
+files = [
+    {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
+    {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
+]
+
 [[package]]
 name = "evdev"
 version = "1.9.2"
@@ -689,6 +752,17 @@ files = [
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
 ]
 
+[[package]]
+name = "flatbuffers"
+version = "25.2.10"
+summary = "The FlatBuffers serialization format for Python"
+groups = ["default"]
+marker = "python_version > \"3.9\""
+files = [
+    {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
+    {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
+]
+
 [[package]]
 name = "fsspec"
 version = "2025.3.2"
@@ -1014,6 +1088,23 @@ files = [
     {file = "huggingface_hub-0.30.1.tar.gz", hash = "sha256:f379e8b8d0791295602538856638460ae3cf679c7f304201eb80fb98c771950e"},
 ]
 
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+summary = "Human friendly output for text interfaces using Python"
+groups = ["default"]
+marker = "python_version > \"3.9\""
+dependencies = [
+    "monotonic; python_version == \"2.7\"",
+    "pyreadline3; sys_platform == \"win32\" and python_version >= \"3.8\"",
+    "pyreadline; sys_platform == \"win32\" and python_version < \"3.8\"",
+]
+files = [
+    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -1180,6 +1271,119 @@ files = [
     {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
 ]
 
+[[package]]
+name = "lxml"
+version = "6.0.0"
+requires_python = ">=3.8"
+summary = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
+groups = ["default"]
+files = [
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+files = [
+    {file = "xlrd-2.0.2-py2.py3-none-any.whl", hash = "sha256:ea762c3d29f4cca48d82df517b6d89fbce4db3107f9d78713e48cd321d5c9aa9"},
+    {file = "xlrd-2.0.2.tar.gz", hash = "sha256:08b5e25de58f21ce71dc7db3b3b8106c1fa776f3024c54e45b45b374e89234c9"},
+]
diff --git a/pyproject.toml b/pyproject.toml
index 04295678..dd883241 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,6 +26,7 @@ dependencies = [
     "protobuf>=6.31.1",
     "google-genai>=1.20.0",
     "filetype>=1.2.0",
+    "markitdown[xls,xlsx,docx]>=0.1.2",
 ]
 requires-python = ">=3.10"
 readme = "README.md"
@@ -224,4 +225,4 @@ pynput = [
 ]
 web = [
     "playwright>=1.41.0",
-]
+]
\ No newline at end of file
diff --git a/src/askui/__init__.py b/src/askui/__init__.py
index a1b59264..0022419f 100644
--- a/src/askui/__init__.py
+++ b/src/askui/__init__.py
@@ -37,7 +37,8 @@
 from .models.types.response_schemas import ResponseSchema, ResponseSchemaBase
 from .retry import ConfigurableRetry, Retry
 from .tools import ModifierKey, PcKey
-from .utils.image_utils import ImageSource, Img
+from .utils.image_utils import ImageSource
+from .utils.source_utils import InputSource
 
 try:
     from .android_agent import AndroidVisionAgent
@@ -67,7 +68,7 @@
     "GetModel",
     "ImageBlockParam",
     "ImageSource",
-    "Img",
+    "InputSource",
     "LocateModel",
     "Locator",
     "MessageParam",
diff --git a/src/askui/agent_base.py b/src/askui/agent_base.py
index a270b6f7..cb2b15ca 100644
--- a/src/askui/agent_base.py
+++ b/src/askui/agent_base.py
@@ -16,9 +16,8 @@
 from askui.models.shared.tools import Tool
 from askui.tools.agent_os import AgentOs
 from askui.tools.android.agent_os import AndroidAgentOs
-from askui.utils.image_utils import ImageSource, Img
-from askui.utils.pdf_utils import Pdf
-from askui.utils.source_utils import load_image_source, load_source
+from askui.utils.image_utils import ImageSource
+from askui.utils.source_utils import InputSource, load_image_source, load_source
 
 from .logger import configure_logging, logger
 from .models import ModelComposition
@@ -193,7 +192,7 @@ def get(
         query: Annotated[str, Field(min_length=1)],
         response_schema: None = None,
         model: str | None = None,
-        source: Optional[Img | Pdf] = None,
+        source: Optional[InputSource] = None,
     ) -> str: ...
     @overload
     def get(
@@ -201,7 +200,7 @@ def get(
         query: Annotated[str, Field(min_length=1)],
         response_schema: Type[ResponseSchema],
         model: str | None = None,
-        source: Optional[Img | Pdf] = None,
+        source: Optional[InputSource] = None,
     ) -> ResponseSchema: ...
 
     @telemetry.record_call(exclude={"query", "source", "response_schema"})
@@ -211,7 +210,7 @@ def get(
         query: Annotated[str, Field(min_length=1)],
         response_schema: Type[ResponseSchema] | None = None,
         model: str | None = None,
-        source: Optional[Img | Pdf] = None,
+        source: Optional[InputSource] = None,
     ) -> ResponseSchema | str:
         """
         Retrieves information from an image or PDF based on the provided `query`.
@@ -220,9 +219,10 @@ def get(
 
         Args:
             query (str): The query describing what information to retrieve.
-            source (Img | Pdf | None, optional): The source to extract information from.
-                Can be a path to a PDF file, a path to an image file, a PIL Image
-                object or a data URL. Defaults to a screenshot of the current screen.
+            source (InputSource | None, optional): The source to extract information
+                from. Can be a path to an image, PDF, or office document file,
+                a PIL Image object or a data URL. Defaults to a screenshot of the
+                current screen.
             response_schema (Type[ResponseSchema] | None, optional): A Pydantic model
                 class that defines the response schema. If not provided, returns a
                 string.
@@ -357,7 +357,7 @@ class LinkedListNode(ResponseSchemaBase):
     def _locate(
         self,
         locator: str | Locator,
-        screenshot: Optional[Img] = None,
+        screenshot: Optional[InputSource] = None,
         model: ModelComposition | str | None = None,
     ) -> PointList:
         def locate_with_screenshot() -> PointList:
@@ -380,7 +380,7 @@ def locate_with_screenshot() -> PointList:
     def locate(
         self,
         locator: str | Locator,
-        screenshot: Optional[Img] = None,
+        screenshot: Optional[InputSource] = None,
         model: ModelComposition | str | None = None,
     ) -> Point:
         """
@@ -389,9 +389,10 @@ def locate(
         Args:
             locator (str | Locator): The identifier or description of the element to
                 locate.
-            screenshot (Img | None, optional): The screenshot to use for locating the
-                element. Can be a path to an image file, a PIL Image object or a data
-                URL. If `None`, takes a screenshot of the currently selected display.
+            screenshot (InputSource | None, optional): The screenshot to use for
+                locating the element. Can be a path to an image file, a PIL Image object
+                or a data URL. If `None`, takes a screenshot of the currently
+                selected display.
             model (ModelComposition | str | None, optional): The composition or name
                 of the model(s) to be used for locating the element using the `locator`.
 
@@ -419,7 +420,7 @@ def locate(
     def locate_all(
         self,
         locator: str | Locator,
-        screenshot: Optional[Img] = None,
+        screenshot: Optional[InputSource] = None,
         model: ModelComposition | str | None = None,
     ) -> PointList:
         """
@@ -431,9 +432,10 @@ def locate_all(
         Args:
             locator (str | Locator): The identifier or description of the element to
                 locate.
-            screenshot (Img | None, optional): The screenshot to use for locating the
-                element. Can be a path to an image file, a PIL Image object or a data
-                URL. If `None`, takes a screenshot of the currently selected display.
+            screenshot (InputSource | None, optional): The screenshot to use for
+                locating the element. Can be a path to an image file, a PIL Image object
+                or a data URL. If `None`, takes a screenshot of the currently
+                selected display.
             model (ModelComposition | str | None, optional): The composition or name
                 of the model(s) to be used for locating the element using the `locator`.
 
diff --git a/src/askui/models/anthropic/messages_api.py b/src/askui/models/anthropic/messages_api.py
index b92e9f9c..7f1ce775 100644
--- a/src/askui/models/anthropic/messages_api.py
+++ b/src/askui/models/anthropic/messages_api.py
@@ -42,6 +42,7 @@
 from askui.models.shared.tools import ToolCollection
 from askui.models.types.response_schemas import ResponseSchema
 from askui.utils.dict_utils import IdentityDefaultDict
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.image_utils import (
     ImageSource,
     image_to_base64,
@@ -242,8 +243,11 @@ def get(
         response_schema: Type[ResponseSchema] | None,
         model_choice: str,
     ) -> ResponseSchema | str:
-        if isinstance(source, PdfSource):
-            err_msg = f"PDF processing is not supported for the model {model_choice}"
+        if isinstance(source, (PdfSource, OfficeDocumentSource)):
+            err_msg = (
+                f"PDF or Office Document processing is not supported for the model: "
+                f"{model_choice}"
+            )
             raise NotImplementedError(err_msg)
         try:
             if response_schema is not None:
diff --git a/src/askui/models/askui/google_genai_api.py b/src/askui/models/askui/google_genai_api.py
index 8d691023..726c0ada 100644
--- a/src/askui/models/askui/google_genai_api.py
+++ b/src/askui/models/askui/google_genai_api.py
@@ -21,6 +21,7 @@
 from askui.models.models import GetModel, ModelName
 from askui.models.shared.prompts import SYSTEM_PROMPT_GET
 from askui.models.types.response_schemas import ResponseSchema, to_response_schema
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.http_utils import parse_retry_after_header
 from askui.utils.image_utils import ImageSource
 from askui.utils.source_utils import Source
@@ -185,6 +186,10 @@ def _create_genai_part_from_source(self, source: Source) -> genai_types.Part:
                 data=data,
                 mime_type="image/png",
             )
+        if isinstance(source, OfficeDocumentSource):
+            with source.reader as r:
+                data = r.read()
+                return genai_types.Part.from_text(text=data.decode())
         with source.reader as r:
             data = r.read()
             if len(data) > MAX_FILE_SIZE_BYTES:
diff --git a/src/askui/models/askui/inference_api.py b/src/askui/models/askui/inference_api.py
index 231ae093..cd3b1cc7 100644
--- a/src/askui/models/askui/inference_api.py
+++ b/src/askui/models/askui/inference_api.py
@@ -26,6 +26,7 @@
 from askui.models.shared.settings import MessageSettings
 from askui.models.shared.tools import ToolCollection
 from askui.models.types.response_schemas import ResponseSchema
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.image_utils import ImageSource
 from askui.utils.pdf_utils import PdfSource
 from askui.utils.source_utils import Source
@@ -205,8 +206,11 @@ def get(
         response_schema: Type[ResponseSchema] | None,
         model_choice: str,
     ) -> ResponseSchema | str:
-        if isinstance(source, PdfSource):
-            err_msg = f"PDF processing is not supported for the model {model_choice}"
+        if isinstance(source, (PdfSource, OfficeDocumentSource)):
+            err_msg = (
+                f"PDF or Office Document processing is not supported for the model: "
+                f"{model_choice}"
+            )
             raise NotImplementedError(err_msg)
         json: dict[str, Any] = {
             "image": source.to_data_url(),
diff --git a/src/askui/models/openrouter/model.py b/src/askui/models/openrouter/model.py
index a5a6882c..60db2099 100644
--- a/src/askui/models/openrouter/model.py
+++ b/src/askui/models/openrouter/model.py
@@ -10,6 +10,7 @@
 from askui.models.models import GetModel
 from askui.models.shared.prompts import SYSTEM_PROMPT_GET
 from askui.models.types.response_schemas import ResponseSchema, to_response_schema
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.pdf_utils import PdfSource
 from askui.utils.source_utils import Source
 
@@ -174,8 +175,11 @@ def get(
         response_schema: Type[ResponseSchema] | None,
         model_choice: str,
     ) -> ResponseSchema | str:
-        if isinstance(source, PdfSource):
-            err_msg = f"PDF processing is not supported for the model {model_choice}"
+        if isinstance(source, (PdfSource, OfficeDocumentSource)):
+            err_msg = (
+                f"PDF or Office Document processing is not supported for the model: "
+                f"{model_choice}"
+            )
             raise NotImplementedError(err_msg)
         response = self._predict(
             image_url=source.to_data_url(),
diff --git a/src/askui/models/ui_tars_ep/ui_tars_api.py b/src/askui/models/ui_tars_ep/ui_tars_api.py
index 1eec36bd..1f6b2df2 100644
--- a/src/askui/models/ui_tars_ep/ui_tars_api.py
+++ b/src/askui/models/ui_tars_ep/ui_tars_api.py
@@ -24,6 +24,7 @@
 from askui.models.shared.tools import Tool
 from askui.models.types.response_schemas import ResponseSchema
 from askui.reporting import Reporter
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.image_utils import ImageSource, image_to_base64
 from askui.utils.pdf_utils import PdfSource
 from askui.utils.source_utils import Source
@@ -188,8 +189,8 @@ def get(
         response_schema: Type[ResponseSchema] | None,
         model_choice: str,
     ) -> ResponseSchema | str:
-        if isinstance(source, PdfSource):
-            err_msg = f"PDF processing is not supported for the model {model_choice}"
+        if isinstance(source, (PdfSource, OfficeDocumentSource)):
+            err_msg = f"PDF and Excel processing is not supported for the model {model_choice}"
             raise NotImplementedError(err_msg)
         if response_schema is not None:
             error_msg = f'Response schema is not supported for model "{model_choice}"'
diff --git a/src/askui/utils/excel_utils.py b/src/askui/utils/excel_utils.py
new file mode 100644
index 00000000..bc79e2d7
--- /dev/null
+++ b/src/askui/utils/excel_utils.py
@@ -0,0 +1,33 @@
+from io import BytesIO
+from pathlib import Path
+
+from pydantic import ConfigDict, RootModel
+
+from askui.utils.markdown_utils import convert_to_markdown
+
+
+class OfficeDocumentSource(RootModel):
+    """Represents an Excel source that can be read as markdown.
+
+    The class can be initialized with:
+    - A file path (str or pathlib.Path)
+
+    Attributes:
+        root (bytes | Path): The underlying Excel bytes or file path.
+
+    Args:
+        root (Excel): The Excel source to load from.
+    """
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+    root: bytes | Path
+
+    @property
+    def reader(self) -> BytesIO:
+        markdown_content = convert_to_markdown(self.root)
+        return BytesIO(markdown_content.encode())
+
+
+__all__ = [
+    "OfficeDocumentSource",
+]
diff --git a/src/askui/utils/image_utils.py b/src/askui/utils/image_utils.py
index 4f166579..44b8f8ee 100644
--- a/src/askui/utils/image_utils.py
+++ b/src/askui/utils/image_utils.py
@@ -310,16 +310,6 @@ def scale_coordinates(
     return result
 
 
-Img = Union[str, Path, PILImage.Image]
-"""Type of the input images for `askui.VisionAgent.get()`, `askui.VisionAgent.locate()`, etc.
-
-Accepts:
-- `PIL.Image.Image`
-- Relative or absolute file path (`str` or `pathlib.Path`)
-- Data URL (e.g., `"data:image/png;base64,..."`)
-"""
-
-
 class ImageSource(RootModel):
     """A class that represents an image source and provides methods to convert it to different formats.
 
@@ -375,5 +365,4 @@ def to_bytes(self) -> bytes:
     "scale_coordinates",
     "ScalingResults",
     "ImageSource",
-    "Img",
 ]
diff --git a/src/askui/utils/markdown_utils.py b/src/askui/utils/markdown_utils.py
new file mode 100644
index 00000000..6eb523de
--- /dev/null
+++ b/src/askui/utils/markdown_utils.py
@@ -0,0 +1,24 @@
+from io import BytesIO
+from pathlib import Path
+from typing import BinaryIO
+
+from markitdown import MarkItDown
+
+_MARKDOWN_CONVERTER = MarkItDown()
+
+
+def convert_to_markdown(source: Path | bytes | BinaryIO) -> str:
+    """Converts a source to markdown text.
+
+    Args:
+        source (Path | bytes | BinaryIO): The source to convert.
+
+    Returns:
+        str: The markdown representation of the source.
+    """
+    if isinstance(source, bytes):
+        bytes_source = BytesIO(source)
+        result = _MARKDOWN_CONVERTER.convert(bytes_source)
+        return result.text_content
+    result = _MARKDOWN_CONVERTER.convert(source)
+    return result.text_content
diff --git a/src/askui/utils/pdf_utils.py b/src/askui/utils/pdf_utils.py
index 2df0246d..65a3170e 100644
--- a/src/askui/utils/pdf_utils.py
+++ b/src/askui/utils/pdf_utils.py
@@ -1,16 +1,8 @@
 from io import BufferedReader, BytesIO
 from pathlib import Path
-from typing import Union
 
 from pydantic import ConfigDict, RootModel
 
-Pdf = Union[str, Path]
-"""Type of the input PDFs for `askui.VisionAgent.get()`, etc.
-
-Accepts:
-- Relative or absolute file path (`str` or `pathlib.Path`)
-"""
-
 
 class PdfSource(RootModel):
     """A class that represents a PDF source.
@@ -38,5 +30,4 @@ def reader(self) -> BufferedReader | BytesIO:
 
 __all__ = [
     "PdfSource",
-    "Pdf",
 ]
diff --git a/src/askui/utils/source_utils.py b/src/askui/utils/source_utils.py
index 619f134a..f937acea 100644
--- a/src/askui/utils/source_utils.py
+++ b/src/askui/utils/source_utils.py
@@ -9,15 +9,33 @@
 from filetype import guess  # type: ignore[import-untyped]
 from PIL import Image as PILImage
 
+from askui.utils.excel_utils import OfficeDocumentSource
 from askui.utils.image_utils import ImageSource
 from askui.utils.pdf_utils import PdfSource
 
-Source = Union[ImageSource, PdfSource]
+InputSource = Union[str, Path, PILImage.Image]
+"""
+Type of the input images and files for `askui.VisionAgent.get()` and images for 
+`askui.VisionAgent.locate()`, etc.
+
+Accepts:
+- `PIL.Image.Image`
+- Relative or absolute file path (`str` or `pathlib.Path`)
+- Data URL (e.g., `"data:image/png;base64,..."`)
+"""
+
+Source = Union[ImageSource, PdfSource, OfficeDocumentSource]
 
 _DATA_URL_WITH_MIMETYPE_RE = re.compile(r"^data:([^;,]+)([^,]*)?,(.*)$", re.DOTALL)
 
 _SupportedImageMimeTypes = Literal["image/png", "image/jpeg", "image/gif", "image/webp"]
-_SupportedApplicationMimeTypes = Literal["application/pdf"]
+_SupportedApplicationMimeTypes = Literal[
+    "application/pdf",
+    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "application/vnd.ms-excel",
+    "application/msword",
+    "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+]
 _SupportedMimeTypes = _SupportedImageMimeTypes | _SupportedApplicationMimeTypes
 
 _SUPPORTED_MIME_TYPES: list[_SupportedMimeTypes] = [
@@ -26,6 +44,10 @@
     "image/gif",
     "image/webp",
     "application/pdf",
+    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "application/vnd.ms-excel",
+    "application/msword",
+    "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
 ]
 
 
@@ -49,6 +71,15 @@ def is_supported(self) -> bool:
     def is_pdf(self) -> bool:
         return self.mime == "application/pdf"
 
+    @property
+    def is_supported_office_document(self) -> bool:
+        return self.mime in [
+            "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+            "application/vnd.ms-excel",
+            "application/msword",
+            "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+        ]
+
     @property
     def is_image(self) -> bool:
         if self.mime:
@@ -133,6 +164,8 @@ def load_source(source: Union[str, Path, PILImage.Image]) -> Source:
         raise ValueError(msg)
     if source_analysis.is_pdf:
         return PdfSource(source_analysis.content)
+    if source_analysis.is_supported_office_document:
+        return OfficeDocumentSource(source_analysis.content)
     if source_analysis.is_image:
         return ImageSource(
             PILImage.open(
@@ -167,4 +200,4 @@ def load_image_source(source: Union[str, Path, PILImage.Image]) -> ImageSource:
     return result
 
 
-__all__ = ["Source", "load_source", "load_image_source"]
+__all__ = ["Source", "load_source", "load_image_source", "InputSource"]
diff --git a/tests/conftest.py b/tests/conftest.py
index 72b7cba4..6e386721 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -40,6 +40,30 @@ def path_fixtures_dummy_pdf(path_fixtures_pdf: pathlib.Path) -> pathlib.Path:
     return path_fixtures_pdf / "dummy.pdf"
 
 
+@pytest.fixture
+def path_fixtures_excel(path_fixtures: pathlib.Path) -> pathlib.Path:
+    """Fixture providing the path to the excel directory."""
+    return path_fixtures / "excel"
+
+
+@pytest.fixture
+def path_fixtures_dummy_excel(path_fixtures_excel: pathlib.Path) -> pathlib.Path:
+    """Fixture providing the path to the dummy excel."""
+    return path_fixtures_excel / "dummy.xlsx"
+
+
+@pytest.fixture
+def path_fixtures_docs(path_fixtures: pathlib.Path) -> pathlib.Path:
+    """Fixture providing the path to the docs directory."""
+    return path_fixtures / "docs"
+
+
+@pytest.fixture
+def path_fixtures_dummy_doc(path_fixtures_docs: pathlib.Path) -> pathlib.Path:
+    """Fixture providing the path to the dummy doc."""
+    return path_fixtures_docs / "dummy.docx"
+
+
 @pytest.fixture
 def github_login_screenshot(path_fixtures_screenshots: pathlib.Path) -> Image.Image:
     """Fixture providing the GitHub login screenshot."""
diff --git a/tests/e2e/agent/test_get.py b/tests/e2e/agent/test_get.py
index 7977efdf..0ce389b2 100644
--- a/tests/e2e/agent/test_get.py
+++ b/tests/e2e/agent/test_get.py
@@ -125,6 +125,92 @@ def test_get_with_pdf_too_large_with_default_model(
         )
 
 
+def test_get_with_xlsx_with_non_gemini_model_raises_not_implemented(
+    vision_agent: VisionAgent, path_fixtures_dummy_excel: pathlib.Path
+) -> None:
+    with pytest.raises(NotImplementedError):
+        vision_agent.get(
+            "What is in the xlsx?",
+            source=path_fixtures_dummy_excel,
+            model=ModelName.ANTHROPIC__CLAUDE__3_5__SONNET__20241022,
+        )
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        ModelName.ASKUI__GEMINI__2_5__FLASH,
+        ModelName.ASKUI__GEMINI__2_5__PRO,
+    ],
+)
+def test_get_with_xlsx_with_gemini_model(
+    vision_agent: VisionAgent, model: str, path_fixtures_dummy_excel: pathlib.Path
+) -> None:
+    response = vision_agent.get(
+        "What is the salary of Doe?",
+        source=path_fixtures_dummy_excel,
+        model=model,
+    )
+    assert isinstance(response, str)
+    assert "20000" in response.lower()
+
+
+class Salary(ResponseSchemaBase):
+    salary: int
+    name: str
+
+
+class SalaryResponse(ResponseSchemaBase):
+    salaries: list[Salary]
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        ModelName.ASKUI__GEMINI__2_5__FLASH,
+        ModelName.ASKUI__GEMINI__2_5__PRO,
+    ],
+)
+def test_get_with_xlsx_with_gemini_model_with_response_schema(
+    vision_agent: VisionAgent, model: str, path_fixtures_dummy_excel: pathlib.Path
+) -> None:
+    response = vision_agent.get(
+        "What is the salary of Everyone?",
+        source=path_fixtures_dummy_excel,
+        model=model,
+        response_schema=SalaryResponse,
+    )
+    assert isinstance(response, SalaryResponse)
+    # sort salaries by name for easier assertion
+    response.salaries.sort(key=lambda x: x.name)
+    assert response.salaries[0].name == "Doe"
+    assert response.salaries[0].salary == 20000
+    assert response.salaries[1].name == "John"
+    assert response.salaries[1].salary == 10000
+
+
+def test_get_with_xlsx_with_default_model_with_chart_data(
+    vision_agent: VisionAgent, path_fixtures_dummy_excel: pathlib.Path
+) -> None:
+    response = vision_agent.get(
+        "What is the salary of John?",
+        source=path_fixtures_dummy_excel,
+    )
+    assert isinstance(response, str)
+    assert "10000" in response.lower()
+
+
+def test_get_with_docs_with_default_model(
+    vision_agent: VisionAgent, path_fixtures_dummy_doc: pathlib.Path
+) -> None:
+    response = vision_agent.get(
+        "At what time in 24h format does the person sleeps?",
+        source=path_fixtures_dummy_doc,
+    )
+    assert isinstance(response, str)
+    assert "22:00" in response.lower()
+
+
 def test_get_with_model_composition_should_use_default_model(
     agent_toolbox_mock: AgentToolbox,
     askui_facade: ModelFacade,
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