diff --git a/README.md b/README.md
index d62ab3e..e1995de 100644
--- a/README.md
+++ b/README.md
@@ -21,15 +21,11 @@ See more details in the [benchmarks](#benchmarks) section.
 
 ## Examples
 
-**Note** I added spaces after _ symbols because [Github math formatting is broken](https://github.com/github/markup/issues/1575).
+**Note** I added spaces after _ symbols and removed \, because [Github math formatting is broken](https://github.com/github/markup/issues/1575).
 
 ![Example 0](data/examples/0.png)
 
-**Detected Text** The potential $V_{i}$ of cell $\mathcal{C}_ {j}$ centred at position $\mathbf{r}_ {i}$ is related to the surface charge densities $\sigma_ {j}$ of cells $\mathcal{E}_ {j}$ $j\in[1,N]$ through the superposition principle as:
-
-$$V_ {i}\,=\,\sum_ {j=0}^{N}\,\frac{\sigma_ {j}}{4\pi\varepsilon_ {0}}\,\int_{\mathcal{E}_ {j}}\frac{1}{\left|\mathbf{r}_ {i}-\mathbf{r}^{\prime}\right|}\,\mathrm{d}^{2}\mathbf{r}^{\prime}\,=\,\sum_{j=0}^{N}\,Q_ {ij}\,\sigma_{j},$$
-
-where the integral over the surface of cell $\mathcal{C}_ {j}$ only depends on $\mathcal{C}{j}$ shape and on the relative position of the target point $\mathbf{r}_ {i}$ with respect to $\mathcal{C}_ {j}$ location, as $\sigma_ {j}$ is assumed constant over the whole surface of cell $\mathcal{C}_ {j}$.
+**Detected Text** The potential $V_ i$ of cell $\mathcal{C}_ i$ centred at position $\mathbf{r}_ i$ is related to the surface charge densities $\sigma_ j$ of cells $\mathcal{C}_ j$ $j\in[1,N]$ through the superposition principle as: $$V_ i = \sum_ {j=0}^{N} \frac{\sigma_ j}{4\pi\varepsilon_ 0} \int_ {\mathcal{C}_ j} \frac{1}{|\mathbf{r}_ i-\mathbf{r}'|} \mathrm{d}^2\mathbf{r}' = \sum_{j=0}^{N} Q_ {ij} \sigma_ j,$$ where the integral over the surface of cell $\mathcal{C}_ j$ only depends on $\mathcal{C}_ j$ shape and on the relative position of the target point $\mathbf{r}_ i$ with respect to $\mathcal{C}_ j$ location, as $\sigma_ j$ is assumed constant over the whole surface of cell $\mathcal{C}_ j$.
 
 | Image                      | OCR Markdown              |
 |----------------------------|---------------------------|
@@ -39,7 +35,7 @@ where the integral over the surface of cell $\mathcal{C}_ {j}$ only depends on $
 
 # Installation
 
-You'll need python 3.10+ and PyTorch. You may need to install the CPU version of torch first if you're not using a Mac or a GPU machine.  See [here](https://pytorch.org/get-started/locally/) for more details.
+You'll need python 3.9+ and PyTorch. You may need to install the CPU version of torch first if you're not using a Mac or a GPU machine.  See [here](https://pytorch.org/get-started/locally/) for more details.
 
 Install with:
 
@@ -80,6 +76,7 @@ texify /path/to/folder_or_file --max 8 --json_path results.json
 
 - `--max` is how many images in the folder to convert at most.  Omit this to convert all images in the folder.
 - `--json_path` is an optional path to a json file where the results will be saved.  If you omit this, the results will be saved to `data/results.json`.
+- `--katex_compatible` will make the output more compatible with KaTeX.
 
 ## Import and run
 
@@ -97,6 +94,8 @@ img = Image.open("test.png") # Your image name here
 results = batch_inference([img], model, processor)
 ```
 
+See `texify/output.py:replace_katex_invalid` if you want to make the output more compatible with KaTeX.
+
 # Manual install
 
 If you want to develop texify, you can install it manually:
diff --git a/data/examples/0.md b/data/examples/0.md
index a2155d0..3142f17 100644
--- a/data/examples/0.md
+++ b/data/examples/0.md
@@ -1,5 +1 @@
-The potential $V_{i}$ of cell $\mathcal{C}_ {j}$ centred at position $\mathbf{r}_ {i}$ is related to the surface charge densities $\sigma_ {j}$ of cells $\mathcal{E}_ {j}$ $j\in[1,N]$ through the superposition principle as:
-
-$$V_ {i}\,=\,\sum_ {j=0}^{N}\,\frac{\sigma_ {j}}{4\pi\varepsilon_ {0}}\,\int_{\mathcal{E}_ {j}}\frac{1}{\left|\mathbf{r}_ {i}-\mathbf{r}^{\prime}\right|}\,\mathrm{d}^{2}\mathbf{r}^{\prime}\,=\,\sum_{j=0}^{N}\,Q_ {ij}\,\sigma_{j},$$
-
-where the integral over the surface of cell $\mathcal{C}_ {j}$ only depends on $\mathcal{C}{j}$ shape and on the relative position of the target point $\mathbf{r}_ {i}$ with respect to $\mathcal{C}_ {j}$ location, as $\sigma_ {j}$ is assumed constant over the whole surface of cell $\mathcal{C}_ {j}$.
\ No newline at end of file
+The potential $V_ i$ of cell $\mathcal{C}_ i$ centred at position $\mathbf{r}_ i$ is related to the surface charge densities $\sigma_ j$ of cells $\mathcal{C}_ j$ $j\in[1,N]$ through the superposition principle as: $$V_ i = \sum_ {j=0}^{N} \frac{\sigma_ j}{4\pi\varepsilon_ 0} \int_ {\mathcal{C}_ j} \frac{1}{|\mathbf{r}_ i-\mathbf{r}'|} \mathrm{d}^2\mathbf{r}' = \sum_{j=0}^{N} Q_ {ij} \sigma_ j,$$ where the integral over the surface of cell $\mathcal{C}_ j$ only depends on $\mathcal{C}_ j$ shape and on the relative position of the target point $\mathbf{r}_ i$ with respect to $\mathcal{C}_ j$ location, as $\sigma_ j$ is assumed constant over the whole surface of cell $\mathcal{C}_ j$.
\ No newline at end of file
diff --git a/ocr_app.py b/ocr_app.py
index 09b7778..6acc634 100644
--- a/ocr_app.py
+++ b/ocr_app.py
@@ -9,20 +9,13 @@
 from texify.inference import batch_inference
 from texify.model.model import load_model
 from texify.model.processor import load_processor
-from texify.settings import settings
-import subprocess
-import re
+from texify.output import replace_katex_invalid
 from PIL import Image
 
-MAX_WIDTH = 1000
+MAX_WIDTH = 800
+MAX_HEIGHT = 1000
 
 
-def replace_katex_invalid(string):
-    # KaTeX cannot render all LaTeX, so we need to replace some things
-    string = re.sub(r'\\tag\{.*?\}', '', string)
-    string = re.sub(r'\\Big\{(.*?)\}|\\big\{(.*?)\}', r'\1\2', string)
-    return string
-
 @st.cache_resource()
 def load_model_cached():
     return load_model()
@@ -63,6 +56,12 @@ def get_uploaded_image(in_file):
     return Image.open(in_file).convert("RGB")
 
 
+def resize_image(pil_image):
+    if pil_image is None:
+        return
+    pil_image.thumbnail((MAX_WIDTH, MAX_HEIGHT), Image.Resampling.LANCZOS)
+
+
 @st.cache_data()
 def page_count(pdf_file):
     doc = open_pdf(pdf_file)
@@ -76,12 +75,8 @@ def get_canvas_hash(pil_image):
 @st.cache_data()
 def get_image_size(pil_image):
     if pil_image is None:
-        return 800, 600
+        return MAX_HEIGHT, MAX_WIDTH
     height, width = pil_image.height, pil_image.width
-    if width > MAX_WIDTH:
-        scale = MAX_WIDTH / width
-        height = int(height * scale)
-        width = MAX_WIDTH
     return height, width
 
 
@@ -115,6 +110,9 @@ def get_image_size(pil_image):
     pil_image = get_uploaded_image(in_file)
     whole_image = st.sidebar.button("OCR image")
 
+# Resize to max bounds
+resize_image(pil_image)
+
 temperature = st.sidebar.slider("Generation temperature:", min_value=0.0, max_value=1.0, value=0.0, step=0.05)
 
 canvas_hash = get_canvas_hash(pil_image) if pil_image else "canvas"
diff --git a/ocr_image.py b/ocr_image.py
index 3ad2361..5230d65 100644
--- a/ocr_image.py
+++ b/ocr_image.py
@@ -5,21 +5,25 @@
 from texify.model.model import load_model
 from texify.model.processor import load_processor
 from PIL import Image
+
+from texify.output import replace_katex_invalid
 from texify.settings import settings
 from texify.util import is_valid_image
 import json
 
 
-def inference_single_image(image_path, json_path, model, processor):
+def inference_single_image(image_path, json_path, model, processor, katex_compatible=False):
     image = Image.open(image_path)
     text = batch_inference([image], model, processor)
+    if katex_compatible:
+        text = [replace_katex_invalid(t) for t in text]
     write_data = [{"image_path": image_path, "text": text[0]}]
     with open(json_path, "w+") as f:
         json_repr = json.dumps(write_data, indent=4)
         f.write(json_repr)
 
 
-def inference_image_dir(image_dir, json_path, model, processor, max=None):
+def inference_image_dir(image_dir, json_path, model, processor, max=None, katex_compatible=False):
     image_paths = [os.path.join(image_dir, image_name) for image_name in os.listdir(image_dir)]
     image_paths = [ip for ip in image_paths if is_valid_image(ip)]
     if max:
@@ -31,6 +35,8 @@ def inference_image_dir(image_dir, json_path, model, processor, max=None):
         images = [Image.open(image_path) for image_path in batch]
         text = batch_inference(images, model, processor)
         for image_path, t in zip(batch, text):
+            if katex_compatible:
+                t = replace_katex_invalid(t)
             write_data.append({"image_path": image_path, "text": t})
 
     with open(json_path, "w+") as f:
@@ -43,6 +49,7 @@ def main():
     parser.add_argument("image", type=str, help="Path to image or folder of images to OCR.")
     parser.add_argument("--max", type=int, help="Maximum number of images to OCR if a folder is passes.", default=None)
     parser.add_argument("--json_path", type=str, help="Path to JSON file to save results to.", default=os.path.join(settings.DATA_DIR, "results.json"))
+    parser.add_argument("--katex_compatible", action="store_true", help="Make output KaTeX compatible.", default=False)
     args = parser.parse_args()
 
     image_path = args.image
@@ -53,9 +60,9 @@ def main():
     os.makedirs(os.path.dirname(json_path), exist_ok=True)
 
     if os.path.isfile(image_path):
-        inference_single_image(image_path, json_path, model, processor)
+        inference_single_image(image_path, json_path, model, processor, args.katex_compatible)
     else:
-        inference_image_dir(image_path, json_path, model, processor, args.max)
+        inference_image_dir(image_path, json_path, model, processor, args.max, args.katex_compatible)
 
     print(f"Wrote results to {json_path}")
 
diff --git a/poetry.lock b/poetry.lock
index 1b65c29..d4db47b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -299,21 +299,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "babel"
@@ -588,13 +589,13 @@ files = [
 
 [[package]]
 name = "comm"
-version = "0.2.0"
+version = "0.2.1"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "comm-0.2.0-py3-none-any.whl", hash = "sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001"},
-    {file = "comm-0.2.0.tar.gz", hash = "sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be"},
+    {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
+    {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
 ]
 
 [package.dependencies]
@@ -774,13 +775,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastjsonschema"
-version = "2.19.0"
+version = "2.19.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
-    {file = "fastjsonschema-2.19.0-py3-none-any.whl", hash = "sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e"},
-    {file = "fastjsonschema-2.19.0.tar.gz", hash = "sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225"},
+    {file = "fastjsonschema-2.19.1-py3-none-any.whl", hash = "sha256:3672b47bc94178c9f23dbb654bf47440155d4db9df5f7bc47643315f9c405cd0"},
+    {file = "fastjsonschema-2.19.1.tar.gz", hash = "sha256:e3126a94bdc4623d3de4485f8d468a12f02a67921315ddc87836d6e456dc789d"},
 ]
 
 [package.extras]
@@ -804,13 +805,13 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "fqdn"
-version = "1.4.0"
-description = "Validate fully-qualified domain names compliant to RFC 1035 and the preferred form in RFC 3686 s. 2."
+version = "1.5.1"
+description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 optional = false
-python-versions = "*"
+python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 files = [
-    {file = "fqdn-1.4.0-py3-none-any.whl", hash = "sha256:e935616ae81c9c60a22267593fe8e6af68cecc68549cc71bb9bfbcbbcb383386"},
-    {file = "fqdn-1.4.0.tar.gz", hash = "sha256:30e8f2e685ce87cdace4712fd97c5d09f5e6fa519bbb66e8f188f6a7cb3a5c4e"},
+    {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
+    {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
 ]
 
 [[package]]
@@ -1048,13 +1049,13 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "ipykernel"
-version = "6.27.1"
+version = "6.28.0"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.27.1-py3-none-any.whl", hash = "sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686"},
-    {file = "ipykernel-6.27.1.tar.gz", hash = "sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6"},
+    {file = "ipykernel-6.28.0-py3-none-any.whl", hash = "sha256:c6e9a9c63a7f4095c0a22a79f765f079f9ec7be4f2430a898ddea889e8665661"},
+    {file = "ipykernel-6.28.0.tar.gz", hash = "sha256:69c11403d26de69df02225916f916b37ea4b9af417da0a8c827f84328d88e5f3"},
 ]
 
 [package.dependencies]
@@ -1068,7 +1069,7 @@ matplotlib-inline = ">=0.1"
 nest-asyncio = "*"
 packaging = "*"
 psutil = "*"
-pyzmq = ">=20"
+pyzmq = ">=24"
 tornado = ">=6.1"
 traitlets = ">=5.4.0"
 
@@ -1101,6 +1102,7 @@ prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 
 [package.extras]
 all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
@@ -1253,13 +1255,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.2"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.11.2-py3-none-any.whl", hash = "sha256:e74ba7c0a65e8cb49dc26837d6cfe576557084a8b423ed16a420984228104f93"},
-    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
@@ -1297,6 +1299,7 @@ files = [
 ]
 
 [package.dependencies]
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
 python-dateutil = ">=2.8.2"
 pyzmq = ">=23.0"
@@ -1333,13 +1336,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.1"
+version = "5.6.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.5.1-py3-none-any.whl", hash = "sha256:220dfb00c45f0d780ce132bb7976b58263f81a3ada6e90a9b6823785a424f739"},
-    {file = "jupyter_core-5.5.1.tar.gz", hash = "sha256:1553311a97ccd12936037f36b9ab4d6ae8ceea6ad2d5c90d94a909e752178e40"},
+    {file = "jupyter_core-5.6.1-py3-none-any.whl", hash = "sha256:3d16aec2e1ec84b69f7794e49c32830c1d950ad149526aec954c100047c5f3a7"},
+    {file = "jupyter_core-5.6.1.tar.gz", hash = "sha256:5139be639404f7f80f3db6f687f47b8a8ec97286b4fa063c984024720e7224dc"},
 ]
 
 [package.dependencies]
@@ -1388,6 +1391,7 @@ files = [
 ]
 
 [package.dependencies]
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 jupyter-server = ">=1.1.2"
 
 [[package]]
@@ -1428,13 +1432,13 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.5.0"
+version = "0.5.1"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.5.0-py3-none-any.whl", hash = "sha256:2fc0692c883bfd891f4fba0c4b4a684a37234b0ba472f2e97ed0a3888f46e1e4"},
-    {file = "jupyter_server_terminals-0.5.0.tar.gz", hash = "sha256:ebcd68c9afbf98a480a533e6f3266354336e645536953b7abcc7bdeebc0154a3"},
+    {file = "jupyter_server_terminals-0.5.1-py3-none-any.whl", hash = "sha256:5e63e947ddd97bb2832db5ef837a258d9ccd4192cd608c1270850ad947ae5dd7"},
+    {file = "jupyter_server_terminals-0.5.1.tar.gz", hash = "sha256:16d3be9cf48be6a1f943f3a6c93c033be259cf4779184c66421709cf63dccfea"},
 ]
 
 [package.dependencies]
@@ -1447,17 +1451,18 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.0.9"
+version = "4.0.10"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.0.9-py3-none-any.whl", hash = "sha256:9f6f8e36d543fdbcc3df961a1d6a3f524b4a4001be0327a398f68fa4e534107c"},
-    {file = "jupyterlab-4.0.9.tar.gz", hash = "sha256:9ebada41d52651f623c0c9f069ddb8a21d6848e4c887d8e5ddc0613166ed5c0b"},
+    {file = "jupyterlab-4.0.10-py3-none-any.whl", hash = "sha256:fe010ad9e37017488b468632ef2ead255fc7c671c5b64d9ca13e1f7b7e665c37"},
+    {file = "jupyterlab-4.0.10.tar.gz", hash = "sha256:46177eb8ede70dc73be922ac99f8ef943bdc2dfbc6a31b353c4bde848a35dee1"},
 ]
 
 [package.dependencies]
 async-lru = ">=1.0.0"
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 ipykernel = "*"
 jinja2 = ">=3.0.3"
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 traitlets = "*"
 
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 name = "platformdirs"
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 [package.extras]
@@ -3122,99 +3147,104 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2023.10.3"
+version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.7"
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 [[package]]
@@ -3301,110 +3331,110 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rpds-py"
-version = "0.15.2"
+version = "0.16.2"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
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+    {file = "rpds_py-0.16.2.tar.gz", hash = "sha256:781ef8bfc091b19960fc0142a23aedadafa826bc32b433fdfe6fd7f964d7ef44"},
 ]
 
 [[package]]
@@ -3984,13 +4014,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.0"
+version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.0-py3-none-any.whl", hash = "sha256:f14949d23829023013c47df20b4a76ccd1a85effb786dc060f34de7948361b33"},
-    {file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
+    {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
+    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
 ]
 
 [package.extras]
@@ -4114,13 +4144,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
+    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
 ]
 
 [[package]]
@@ -4532,5 +4562,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.10,<4.0"
-content-hash = "bc12e6a3d4e626278ae0ce4718598fece1056311e8dcc7babc52ab90c696317d"
+python-versions = ">=3.9,<4.0,!=3.9.7"
+content-hash = "e4c78d958a21c64a5ab973e3f5345a806e47b2d614b49e787dc5e2486a4483f6"
diff --git a/pyproject.toml b/pyproject.toml
index a77aebb..9d5927f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "texify"
-version = "0.1.6"
+version = "0.1.7"
 description = "OCR for latex images"
 authors = ["Vik Paruchuri <vik.paruchuri@gmail.com>"]
 readme = "README.md"
@@ -15,7 +15,7 @@ include = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.10,<4.0"
+python = ">=3.9,<4.0,!=3.9.7"
 streamlit = "^1.29.0"
 transformers = "^4.36.2"
 torch = "^2.1.2"
@@ -29,6 +29,7 @@ watchdog = "^3.0.0"
 ftfy = "^6.1.3"
 tabulate = "^0.9.0"
 streamlit-drawable-canvas-jsretry = "^0.9.3"
+huggingface-hub = "0.19.4"
 
 [tool.poetry.group.dev.dependencies]
 jupyter = "^1.0.0"
diff --git a/texify/output.py b/texify/output.py
index d5f8409..b51e1b7 100644
--- a/texify/output.py
+++ b/texify/output.py
@@ -2,10 +2,42 @@
 from ftfy import fix_text
 
 
+def remove_labels(text):
+    pattern = r'\\label\{[^}]*\}'
+    text = re.sub(pattern, '', text)
+
+    ref_pattern = r'\\ref\{[^}]*\}'
+    text = re.sub(ref_pattern, '', text)
+
+    pageref_pattern = r'\\pageref\{[^}]*\}'
+    text = re.sub(pageref_pattern, '', text)
+    return text
+
+
+def remove_inner_dollars(text):
+    def replace_dollar(match):
+        # Replace single $ with nothing, keep $$ intact
+        math_block = match.group(1)
+        return '$$' + math_block.replace('$', '') + '$$'
+
+    # Regex to find $$...$$ blocks, including new lines
+    pattern = r'\$\$(.*?)\$\$'
+
+    return re.sub(pattern, replace_dollar, text, flags=re.DOTALL)
+
+
 def replace_katex_invalid(string):
-    return re.sub(r'\\tag\{.*?\}', '', string)
+    # KaTeX cannot render all LaTeX, so we need to replace some things
+    string = re.sub(r'\\tag\{.*?\}', '', string)
+    string = re.sub(r'\\(?:Bigg?|bigg?)\{(.*?)\}', r'\1', string)
+    string = re.sub(r'\\quad\\mbox\{(.*?)\}', r'\1', string)
+    string = re.sub(r'\\mbox\{(.*?)\}', r'\1', string)
+    string = remove_inner_dollars(string)
+    return string
 
 
 def postprocess(text):
     text = fix_text(text)
+    # Remove latex labels and references
+    text = remove_labels(text)
     return text
\ No newline at end of file