diff --git a/tools/unschema/__init__.py b/tools/unschema/__init__.py
new file mode 100644
index 0000000..a987017
--- /dev/null
+++ b/tools/unschema/__init__.py
@@ -0,0 +1 @@
+from .parser import generate
diff --git a/tools/unschema/__main__.py b/tools/unschema/__main__.py
new file mode 100644
index 0000000..3d228b7
--- /dev/null
+++ b/tools/unschema/__main__.py
@@ -0,0 +1,50 @@
+import json
+import time
+from argparse import ArgumentParser
+
+from .parser import generate
+
+parser = ArgumentParser(description="Generate TypedDicts from a json schema.")
+parser.add_argument("-f", "--from", required=True, help="The json schema to generate from.")
+parser.add_argument("-t", "--to", help="The file to write the TypedDicts to.")
+parser.add_argument(
+    "-ne", "--no-examples", action="store_true", help="If given, examples wont be added."
+)
+parser.add_argument(
+    "-nf", "--no-formats", action="store_true", help="If given, formats wont be added."
+)
+parser.add_argument(
+    "-p",
+    "--print",
+    action="store_true",
+    help="If given, the result will be printed instead of being writing to a file",
+)
+args = parser.parse_args()
+
+with open(args.__getattribute__("from")) as g:
+    schema = json.load(g)
+
+start = time.monotonic()
+text = f"""
+from __future__ import annotations
+
+from typing import List, Optional, TypedDict, Union, TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from typing_extensions import NotRequired{generate(schema, no_examples=args.no_examples, no_formats=args.no_formats)}  # Rename this to your liking.
+"""[
+    1:
+]
+
+if args.print:
+    print(text)
+else:
+    if not args.to:
+        raise ValueError("-t/--to is required when writing to a file.")
+
+    with open(args.to, "w") as f:
+        f.write(text)
+
+end = time.monotonic() - start
+
+print(f"Success! Finished in {end*1000:.3} milliseconds.")
diff --git a/tools/unschema/parser.py b/tools/unschema/parser.py
new file mode 100644
index 0000000..f4fcb48
--- /dev/null
+++ b/tools/unschema/parser.py
@@ -0,0 +1,132 @@
+from __future__ import annotations
+
+from typing import Iterable, Tuple
+
+types = {
+    "string": "str",
+    "integer": "int",
+    "number": "float",
+    "boolean": "bool",
+    "object": "dict",
+    "array": "list",
+    "null": "None",
+}
+
+untypes = {v: k for k, v in types.items()}
+
+
+def unspace(s: str) -> str:
+    return s.replace(" ", "")
+
+
+def mklist(s: Iterable) -> str:
+    return f"[{', '.join(s)}]"
+
+
+def generate(
+    _schema: dict,
+    /,
+    *,
+    no_examples: bool = False,
+    no_formats: bool = False,
+    title: str = "GeneratedObject",
+) -> str:
+    def inner_generate(
+        schema: dict,
+        /,
+        *,
+        _no_examples: bool = no_examples,
+        _no_formats: bool = no_formats,
+        _title: str = title,
+    ) -> Tuple[str, str]:  # sourcery skip: low-code-quality
+
+        # GeneratedObject = Union[..., ..., ...]
+        if objects := schema.get("oneOf"):
+            text = []
+            union_items = []
+
+            for item_schema in objects:
+                generated_text, union_item = generate(item_schema, title=_title)
+
+                text.append(generated_text)
+                union_items.append(union_item)
+
+            text.append(f"{_title} = Union{mklist(union_items)}")
+            return "\n\n".join(_title), _title
+        del objects
+
+        # class GeneratedObject(TypedDict):
+        if (object_type := schema["type"]) == untypes["dict"]:
+            _title = unspace(schema["title"])
+
+            dependencies = []
+            current = [f'class {_title}(TypedDict):\n    """{schema["description"]}"""']
+
+            for key, value in schema["properties"].items():
+                if isinstance(value_type := value["type"], str):
+                    param_type = types[value_type]
+
+                elif isinstance(value_type, list):
+                    combiner = "Union"
+                    contents = []
+
+                    for type in value_type:
+                        if type == untypes["None"]:
+                            combiner = "Optional"
+                        else:
+                            contents.append(types[type])
+
+                    param_type = f"{combiner}{mklist(contents)}"
+
+                elif isinstance(value_type, dict):
+                    text, target = inner_generate(
+                        value_type, _title=key, _no_examples=_no_examples, _no_formats=_no_formats
+                    )
+                    dependencies.append(text)
+                    param_type = target
+
+                else:
+                    param_type = f"Unknown[{value_type}]"
+
+                if key not in schema["required"]:
+                    param_type = f"NotRequired[{param_type}]"
+
+                eg = (
+                    ""
+                    if no_examples
+                    else f"    # example: {mklist(str(eg) for eg in egs)[1:-1]}\n"
+                    if (egs := value.get("examples"))
+                    else ""
+                )
+
+                fmt = (
+                    ""
+                    if no_formats
+                    else f"    # format: {fmt}\n"
+                    if (fmt := value.get("format"))
+                    else ""
+                )
+
+                sep = "\n" if eg or fmt else ""
+
+                com = "# " if param_type.startswith("Unknown") else ""
+
+                current.append(f"{sep}{eg}{fmt}    {com}{key}: {param_type}")
+
+            dependencies.append("\n".join(current))
+            result = "\n\n".join(dependencies[:-1]) + "\n\n\n" + dependencies[-1]
+
+            return result, _title
+
+        # GeneratedObject = List[...]
+        elif object_type == untypes["list"]:
+            generated, target = inner_generate(
+                schema["items"], _title=_title, _no_examples=_no_examples, _no_formats=_no_formats
+            )
+            return f"{generated}\n\n\n{_title} = List[{target}]", _title
+
+        else:
+            print("Unknown/Unimplemented Object Type:", object_type)
+            return "", ""
+
+    return inner_generate(_schema)[0]