diff --git a/README.md b/README.md
index deb2be2..9455640 100644
--- a/README.md
+++ b/README.md
@@ -101,7 +101,7 @@ tabled_gui
 
 ```python
 from tabled.extract import extract_tables
-from tabled.fileinput import load_pdfs_images
+from tabled.input.fileinput import load_pdfs_images
 from tabled.inference.models import load_detection_models, load_recognition_models, load_layout_models
 
 det_models, rec_models, layout_models = load_detection_models(), load_recognition_models(), load_layout_models()
diff --git a/extract.py b/extract.py
index db13d27..029a87c 100644
--- a/extract.py
+++ b/extract.py
@@ -9,7 +9,7 @@
 
 from tabled.extract import extract_tables
 from tabled.formats import formatter
-from tabled.fileinput import load_pdfs_images
+from tabled.input.fileinput import load_pdfs_images
 from tabled.inference.models import load_detection_models, load_recognition_models, load_layout_models
 
 
diff --git a/poetry.lock b/poetry.lock
index 60039af..10e2af8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,87 +13,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.10"
+version = "3.11.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -111,13 +111,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
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-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
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+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
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 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -402,13 +402,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -492,127 +492,114 @@ pycparser = "*"
 
 [[package]]
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-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
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 ]
 
 [[package]]
 name = "click"
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+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -690,37 +677,37 @@ vision = ["Pillow (>=9.4.0)"]
 
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 ]
 
 [[package]]
@@ -1087,13 +1074,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.26.5"
+version = "0.27.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1168,13 +1155,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "8.30.0"
+version = "8.31.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -1260,13 +1247,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1441,13 +1428,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "jupyter-events"
-version = "0.10.0"
+version = "0.11.0"
 description = "Jupyter Event System library"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1461,7 +1448,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 cli = ["click", "rich"]
-docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
+docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"]
 test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
 
 [[package]]
@@ -1480,13 +1467,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.2"
+version = "2.15.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -1495,7 +1482,7 @@ argon2-cffi = ">=21.1"
 jinja2 = ">=3.0.3"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.9.0"
+jupyter-events = ">=0.11.0"
 jupyter-server-terminals = ">=0.4.4"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -1535,13 +1522,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.3.3"
+version = "4.3.4"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1735,15 +1722,18 @@ files = [
 
 [[package]]
 name = "mistune"
-version = "3.0.2"
+version = "3.1.0"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1891,18 +1881,21 @@ dill = ">=0.3.8"
 
 [[package]]
 name = "narwhals"
-version = "1.17.0"
+version = "1.20.1"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
-cudf = ["cudf (>=23.08.00)"]
+cudf = ["cudf (>=24.10.0)"]
 dask = ["dask[dataframe] (>=2024.7)"]
+dev = ["covdefaults", "duckdb", "hypothesis[numpy]", "pandas", "polars", "pre-commit", "pyarrow", "pyarrow-stubs", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "tqdm", "typing-extensions"]
+docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
+extra = ["dask[dataframe]", "modin", "pyspark", "scikit-learn"]
 modin = ["modin"]
 pandas = ["pandas (>=0.25.3)"]
 polars = ["polars (>=0.20.3)"]
@@ -1911,13 +1904,13 @@ pyspark = ["pyspark (>=3.3.0)"]
 
 [[package]]
 name = "nbclient"
-version = "0.10.1"
+version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
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 [package.dependencies]
@@ -1928,8 +1921,8 @@ traitlets = ">=5.4"
 
 [package.extras]
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+docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
@@ -2021,18 +2014,18 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
 name = "notebook"
-version = "7.3.1"
+version = "7.3.2"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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-jupyterlab = ">=4.3.2,<4.4"
+jupyterlab = ">=4.3.4,<4.4"
 jupyterlab-server = ">=2.27.1,<3"
 notebook-shim = ">=0.2,<0.3"
 tornado = ">=6.2.0"
@@ -2061,66 +2054,66 @@ test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"
 
 [[package]]
 name = "numpy"
-version = "2.2.0"
+version = "2.2.1"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
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 [[package]]
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 [[package]]
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 [package.extras]
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 [[package]]
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 [[package]]
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-    {file = "transformers-4.47.0.tar.gz", hash = "sha256:f8ead7a5a4f6937bb507e66508e5e002dc5930f7b6122a9259c37b099d0f3b19"},
+    {file = "transformers-4.47.1-py3-none-any.whl", hash = "sha256:d2f5d19bb6283cd66c893ec7e6d931d6370bbf1cc93633326ff1f41a40046c9c"},
+    {file = "transformers-4.47.1.tar.gz", hash = "sha256:6c29c05a5f595e278481166539202bf8641281536df1c42357ee58a45d0a564a"},
 ]
 
 [package.dependencies]
@@ -4541,13 +4532,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
@@ -4889,4 +4880,4 @@ propcache = ">=0.2.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "28aee8e1f58c76b021c222296922cc9e0586ed7db0eac915ad9120272935ff1f"
+content-hash = "b4f9fd80140724931e991614eab8ebe08c10d6cafc0701cadccdb5a0ca956d33"
diff --git a/pyproject.toml b/pyproject.toml
index 0d3148d..7f16a7f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ include = [
 
 [tool.poetry.dependencies]
 python = "^3.10"
-surya-ocr = "~0.8.0"
+surya-ocr = "~0.9.0"
 click = "^8.1.7"
 pypdfium2 = "^4.30.0"
 pydantic-settings = "^2.5.2"
diff --git a/table_app.py b/table_app.py
index 82aadf3..031fda9 100644
--- a/table_app.py
+++ b/table_app.py
@@ -1,7 +1,7 @@
 import os
 
 from tabled.assignment import assign_rows_columns
-from tabled.fileinput import load_pdfs_images
+from tabled.input.fileinput import load_pdfs_images
 from tabled.formats.markdown import markdown_format
 from tabled.inference.detection import detect_tables
 from tabled.inference.recognition import get_cells, recognize_tables
diff --git a/tabled/__init__.py b/tabled/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tabled/assignment.py b/tabled/assignment.py
deleted file mode 100644
index d5c9213..0000000
--- a/tabled/assignment.py
+++ /dev/null
@@ -1,245 +0,0 @@
-from typing import List
-
-import numpy as np
-from surya.schema import TableResult, Bbox
-
-from tabled.heuristics import heuristic_layout
-from tabled.schema import SpanTableCell
-
-
-def is_rotated(rows, cols):
-    # Determine if the table is rotated by looking at row and column width / height ratios
-    # Rows should have a >1 ratio, cols <1
-    widths = sum([r.width for r in rows])
-    heights = sum([c.height for c in rows]) + 1
-    r_ratio = widths / heights
-
-    widths = sum([c.width for c in cols])
-    heights = sum([r.height for r in cols]) + 1
-    c_ratio = widths / heights
-
-    return r_ratio * 2 < c_ratio
-
-
-def overlapper_idxs(rows, field, thresh=.3):
-    overlapper_rows = set()
-    for row in rows:
-        row_id = getattr(row, field)
-        if row_id in overlapper_rows:
-            continue
-
-        for row2 in rows:
-            row2_id = getattr(row2, field)
-            if row2_id == row_id or row2_id in overlapper_rows:
-                continue
-
-            if row.intersection_pct(row2) > thresh:
-                i_bigger = row.area > row2.area
-                overlapper_rows.add(row_id if i_bigger else row2_id)
-    return overlapper_rows
-
-
-def initial_assignment(detection_result: TableResult, thresh=.5) -> List[SpanTableCell]:
-    overlapper_rows = overlapper_idxs(detection_result.rows, field="row_id")
-    overlapper_cols = overlapper_idxs(detection_result.cols, field="col_id")
-
-    cells = []
-    for cell in detection_result.cells:
-        max_intersection = 0
-        row_pred = None
-        for row in detection_result.rows:
-            if row.row_id in overlapper_rows:
-                continue
-
-            intersection_pct = Bbox(bbox=cell.bbox).intersection_pct(row)
-            if intersection_pct > max_intersection and intersection_pct > thresh:
-                max_intersection = intersection_pct
-                row_pred = row.row_id
-
-        max_intersection = 0
-        col_pred = None
-        for col in detection_result.cols:
-            if col.col_id in overlapper_cols:
-                continue
-
-            intersection_pct = Bbox(bbox=cell.bbox).intersection_pct(col)
-            if intersection_pct > max_intersection and intersection_pct > thresh:
-                max_intersection = intersection_pct
-                col_pred = col.col_id
-
-        cells.append(
-            SpanTableCell(
-                bbox=cell.bbox,
-                text=cell.text,
-                row_ids=[row_pred],
-                col_ids=[col_pred]
-            )
-        )
-    return cells
-
-
-def assign_overlappers(cells: List[SpanTableCell], detection_result: TableResult, thresh=.5):
-    overlapper_rows = overlapper_idxs(detection_result.rows, field="row_id")
-    overlapper_cols = overlapper_idxs(detection_result.cols, field="col_id")
-
-    for cell in cells:
-        max_intersection = 0
-        row_pred = None
-        for row in detection_result.rows:
-            if row.row_id not in overlapper_rows:
-                continue
-
-            intersection_pct = Bbox(bbox=cell.bbox).intersection_pct(row)
-            if intersection_pct > max_intersection and intersection_pct > thresh:
-                max_intersection = intersection_pct
-                row_pred = row.row_id
-
-        max_intersection = 0
-        col_pred = None
-        for col in detection_result.cols:
-            if col.col_id not in overlapper_cols:
-                continue
-
-            intersection_pct = Bbox(bbox=cell.bbox).intersection_pct(col)
-            if intersection_pct > max_intersection and intersection_pct > thresh:
-                max_intersection = intersection_pct
-                col_pred = col.col_id
-
-        if cell.row_ids[0] is None:
-            cell.row_ids = [row_pred]
-        if cell.col_ids[0] is None:
-            cell.col_ids = [col_pred]
-
-
-def assign_unassigned(table_cells: list, detection_result: TableResult):
-    rotated = is_rotated(detection_result.rows, detection_result.cols)
-    for cell in table_cells:
-        if cell.row_ids[0] is None:
-            closest_row = None
-            min_dist = None
-            for row in detection_result.rows:
-                if rotated:
-                    dist = cell.center_x_distance(row)
-                else:
-                    dist = cell.center_y_distance(row)
-
-                if min_dist is None or dist < min_dist:
-                    closest_row = row.row_id
-                    min_dist = dist
-            cell.row_ids = [closest_row]
-
-        if cell.col_ids[0] is None:
-            closest_col = None
-            min_dist = None
-            for col in detection_result.cols:
-                if rotated:
-                    dist = cell.center_y_distance(col)
-                else:
-                    dist = cell.center_x_distance(col)
-
-                if min_dist is None or dist < min_dist:
-                    closest_col = col.col_id
-                    min_dist = dist
-
-            cell.col_ids = [closest_col]
-
-
-def handle_rowcol_spans(table_cells: list, detection_result: TableResult, thresh=.25):
-    rotated = is_rotated(detection_result.rows, detection_result.cols)
-    for cell in table_cells:
-        for c in detection_result.cols:
-            col_intersect_pct = cell.intersection_y_pct(c) if rotated else cell.intersection_x_pct(c)
-            other_cell_exists = len([tc for tc in table_cells if tc.col_ids[0] == c.col_id and tc.row_ids[0] == cell.row_ids[0]]) > 0
-            if col_intersect_pct > thresh and not other_cell_exists:
-                cell.col_ids.append(c.col_id)
-            else:
-                break
-        # Assign to first column header appears in
-        cell.col_ids = sorted(cell.col_ids)
-
-    for cell in table_cells:
-        for r in detection_result.rows:
-            row_intersect_pct = cell.intersection_x_pct(r) if rotated else cell.intersection_y_pct(r)
-            other_cell_exists = len([tc for tc in table_cells if tc.row_ids[0] == r.row_id and tc.col_ids[0] == cell.col_ids[0]]) > 0
-            if row_intersect_pct > thresh and not other_cell_exists:
-                cell.row_ids.append(r.row_id)
-            else:
-                break
-
-
-def merge_multiline_rows(detection_result: TableResult, table_cells: List[SpanTableCell]):
-    def find_row_gap(r1, r2):
-        return min([abs(r1.bbox[1] - r2.bbox[3]), abs(r2.bbox[1] - r1.bbox[3])])
-
-    all_cols = set([tc.col_ids[0] for tc in table_cells])
-    if len(all_cols) == 0:
-        return
-
-    merged_pairs = []
-    row_gaps = [
-        find_row_gap(r, r2)
-        for r, r2 in zip(detection_result.rows, detection_result.rows[1:])
-    ]
-    if len(row_gaps) == 0:
-        return
-
-    gap_thresh = np.median(row_gaps)
-
-    for idx, row in enumerate(detection_result.rows[1:]):
-        prev_row = detection_result.rows[idx - 1]
-        gap = find_row_gap(prev_row, row)
-
-        # Ensure the gap between r2 and r1 is small
-        if gap > gap_thresh:
-            continue
-
-        r1_cells = [tc for tc in table_cells if tc.row_ids[0] == prev_row.row_id]
-        r2_cells = [tc for tc in table_cells if tc.row_ids[0] == row.row_id]
-        r1_cols = set([tc.col_ids[0] for tc in r1_cells])
-        r2_cols = set([tc.col_ids[0] for tc in r2_cells])
-
-        # Ensure all columns in r2 are in r1
-        if len(r2_cols - r1_cols) > 0:
-            continue
-
-        # Ensure r2 has mostly blank cells
-        if len(r2_cols) / len(all_cols) > .5:
-            continue
-
-        merged_pairs.append((idx - 1, idx))
-
-    to_remove = set()
-    for r1_idx, r2_idx in merged_pairs:
-        detection_result.rows[r1_idx].bbox = [
-            min(detection_result.rows[r1_idx].bbox[0], detection_result.rows[r2_idx].bbox[0]),
-            min(detection_result.rows[r1_idx].bbox[1], detection_result.rows[r2_idx].bbox[1]),
-            max(detection_result.rows[r1_idx].bbox[2], detection_result.rows[r2_idx].bbox[2]),
-            max(detection_result.rows[r1_idx].bbox[3], detection_result.rows[r2_idx].bbox[3])
-        ]
-        to_remove.add(r2_idx)
-
-    new_rows = []
-    row_counter = 0
-    for idx, row in enumerate(detection_result.rows):
-        if idx not in to_remove:
-            row.row_id = row_counter
-            new_rows.append(row)
-            row_counter += 1
-    detection_result.rows = new_rows
-
-
-def assign_rows_columns(detection_result: TableResult, image_size: list, heuristic_thresh=.6) -> List[SpanTableCell]:
-    table_cells = initial_assignment(detection_result)
-    merge_multiline_rows(detection_result, table_cells)
-    table_cells = initial_assignment(detection_result)
-    assign_overlappers(table_cells, detection_result)
-    total_unassigned = len([tc for tc in table_cells if tc.row_ids[0] is None or tc.col_ids[0] is None])
-    unassigned_frac = total_unassigned / max(len(table_cells), 1)
-
-    if unassigned_frac > heuristic_thresh:
-        table_cells = heuristic_layout(table_cells, image_size)
-        return table_cells
-
-    assign_unassigned(table_cells, detection_result)
-    handle_rowcol_spans(table_cells, detection_result)
-    return table_cells
diff --git a/tabled/fileinput.py b/tabled/fileinput.py
deleted file mode 100644
index 68b461a..0000000
--- a/tabled/fileinput.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-from surya.input.load import load_from_folder, load_from_file
-from surya.settings import settings as surya_settings
-
-
-def load_pdfs_images(input_path, max_pages=None, start_page=None):
-    if os.path.isdir(input_path):
-        images, _, _ = load_from_folder(input_path, max_pages, start_page=start_page)
-        highres_images, names, text_lines = load_from_folder(input_path, max_pages, dpi=surya_settings.IMAGE_DPI_HIGHRES,
-                                                             load_text_lines=True, start_page=start_page)
-    else:
-        images, _, _ = load_from_file(input_path, max_pages, start_page=start_page)
-        highres_images, names, text_lines = load_from_file(input_path, max_pages, dpi=surya_settings.IMAGE_DPI_HIGHRES,
-                                                           load_text_lines=True, start_page=start_page)
-
-    return images, highres_images, names, text_lines
\ No newline at end of file
diff --git a/tabled/inference/detection.py b/tabled/inference/detection.py
index e33f707..26ed7d5 100644
--- a/tabled/inference/detection.py
+++ b/tabled/inference/detection.py
@@ -1,8 +1,6 @@
-from surya.layout import batch_layout_detection
 from surya.postprocessing.util import rescale_bbox
-from surya.schema import Bbox
-
 from tabled.settings import settings
+from surya.common.polygon import PolygonBox
 
 
 def merge_boxes(box1, box2):
@@ -24,16 +22,15 @@ def merge_tables(page_table_boxes):
                              page_table_boxes[i][2] * expansion_factor, page_table_boxes[i][3]]
             expanded_box2 = [page_table_boxes[j][0] * shrink_factor, page_table_boxes[j][1],
                              page_table_boxes[j][2] * expansion_factor, page_table_boxes[j][3]]
-            if Bbox(bbox=expanded_box1).intersection_pct(Bbox(bbox=expanded_box2)) > 0:
+            if PolygonBox(polygon=expanded_box1).intersection_pct(PolygonBox(polygon=expanded_box2)) > 0:
                 page_table_boxes[i] = merge_boxes(page_table_boxes[i], page_table_boxes[j])
                 ignore_boxes.add(j)
 
     return [b for i, b in enumerate(page_table_boxes) if i not in ignore_boxes]
 
 
-def detect_tables(images, highres_images, models, layout_batch_size=settings.LAYOUT_BATCH_SIZE):
-    layout_model, layout_processor = models
-    layout_predictions = batch_layout_detection(images, layout_model, layout_processor, batch_size=layout_batch_size)
+def detect_tables(images, highres_images, layout_predictor, layout_batch_size=settings.LAYOUT_BATCH_SIZE):
+    layout_predictions = layout_predictor(images, batch_size=layout_batch_size)
 
     table_imgs = []
     table_counts = []
diff --git a/tabled/inference/models.py b/tabled/inference/models.py
deleted file mode 100644
index 6144260..0000000
--- a/tabled/inference/models.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from surya.model.detection.model import load_model as load_det_model, load_processor as load_det_processor
-from surya.model.layout.model import load_model as load_layout_model
-from surya.model.layout.processor import load_processor as load_layout_processor
-from surya.model.recognition.model import load_model as load_rec_model
-from surya.model.recognition.processor import load_processor as load_rec_processor
-from surya.model.table_rec.model import load_model as load_table_rec_model
-from surya.model.table_rec.processor import load_processor as load_table_rec_processor
-
-
-def load_detection_models():
-    detection_model = load_det_model()
-    detection_processor = load_det_processor()
-    return detection_model, detection_processor
-
-
-def load_recognition_models():
-    table_rec_model = load_table_rec_model()
-    table_rec_processor = load_table_rec_processor()
-    rec_model = load_rec_model()
-    rec_processor = load_rec_processor()
-    return table_rec_model, table_rec_processor, rec_model, rec_processor
-
-def load_layout_models():
-    layout_model = load_layout_model()
-    layout_processor = load_layout_processor()
-    return layout_model, layout_processor
\ No newline at end of file
diff --git a/tabled/inference/recognition.py b/tabled/inference/recognition.py
index a20af10..e24a51d 100644
--- a/tabled/inference/recognition.py
+++ b/tabled/inference/recognition.py
@@ -1,16 +1,15 @@
 from typing import List
+from PIL import Image
 
-from surya.detection import batch_text_detection
 from surya.input.pdflines import get_table_blocks
-from surya.ocr import run_recognition
-from surya.schema import TableResult
-from surya.tables import batch_table_recognition
+from surya.detection import DetectionPredictor
+from surya.recognition import RecognitionPredictor
+from surya.table_rec import TableRecPredictor, TableResult
 
 from tabled.settings import settings
 
 
-def get_cells(table_imgs, table_bboxes, image_sizes, text_lines, models, detect_boxes=False, detector_batch_size=settings.DETECTOR_BATCH_SIZE):
-    det_model, det_processor = models
+def get_cells(table_imgs, table_bboxes, image_sizes, text_lines, det_predictor: DetectionPredictor, detect_boxes=False, detector_batch_size=settings.DETECTOR_BATCH_SIZE):
     table_cells = []
     needs_ocr = []
 
@@ -29,7 +28,7 @@ def get_cells(table_imgs, table_bboxes, image_sizes, text_lines, models, detect_
 
     # Inference tables that need it
     if len(to_inference_idxs) > 0:
-        det_results = batch_text_detection([table_imgs[i] for i in to_inference_idxs], det_model, det_processor, batch_size=detector_batch_size)
+        det_results = det_predictor([table_imgs[i] for i in to_inference_idxs], batch_size=detector_batch_size)
         for idx, det_result in zip(to_inference_idxs, det_results):
             cell_bboxes = [{"bbox": tb.bbox, "text": None} for tb in det_result.bboxes if tb.area > 0]
             table_cells[idx] = cell_bboxes
@@ -37,23 +36,12 @@ def get_cells(table_imgs, table_bboxes, image_sizes, text_lines, models, detect_
     return table_cells, needs_ocr
 
 
-def recognize_tables(table_imgs, table_cells, needs_ocr: List[bool], models, table_rec_batch_size=settings.TABLE_REC_BATCH_SIZE, ocr_batch_size=settings.RECOGNITION_BATCH_SIZE) -> List[TableResult]:
-    table_rec_model, table_rec_processor, ocr_model, ocr_processor = models
-
-    if sum(needs_ocr) > 0:
-        needs_ocr_idx = [idx for idx, needs in enumerate(needs_ocr) if needs]
-        ocr_images = [img for img, needs in zip(table_imgs, needs_ocr) if needs]
-        ocr_cells = [[c["bbox"] for c in cells] for cells, needs in zip(table_cells, needs_ocr) if needs]
-        ocr_langs = [None] * len(ocr_images)
-
-        ocr_predictions = run_recognition(ocr_images, ocr_langs, ocr_model, ocr_processor, bboxes=ocr_cells, batch_size=ocr_batch_size)
-
-        # Assign text to correct spot
-        for orig_idx, ocr_pred in zip(needs_ocr_idx, ocr_predictions):
-            for ocr_line, cell in zip(ocr_pred.text_lines, table_cells[orig_idx]):
-                cell["text"] = ocr_line.text
-
-    table_preds = batch_table_recognition(table_imgs, table_cells, table_rec_model, table_rec_processor, batch_size=table_rec_batch_size)
+def recognize_tables(
+        table_imgs: List[Image.Image],
+        table_rec_predictor: TableRecPredictor,
+        table_rec_batch_size=settings.TABLE_REC_BATCH_SIZE
+) -> List[TableResult]:
+    table_preds = table_rec_predictor(table_imgs, batch_size=table_rec_batch_size)
     return table_preds
 
 
diff --git a/tabled/input/__init__.py b/tabled/input/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tabled/input/fileinput.py b/tabled/input/fileinput.py
new file mode 100644
index 0000000..f32517c
--- /dev/null
+++ b/tabled/input/fileinput.py
@@ -0,0 +1,16 @@
+import os
+from typing import List
+
+from surya.input.load import load_from_folder, load_from_file
+from surya.settings import settings as surya_settings
+
+
+def load_pdfs_images(input_path, page_range: List[int] | None = None):
+    if os.path.isdir(input_path):
+        images, _ = load_from_folder(input_path, page_range)
+        highres_images, names = load_from_folder(input_path, page_range, dpi=surya_settings.IMAGE_DPI_HIGHRES)
+    else:
+        images, _, _ = load_from_file(input_path, page_range)
+        highres_images, names = load_from_file(input_path, page_range, dpi=surya_settings.IMAGE_DPI_HIGHRES)
+
+    return images, highres_images, names
\ No newline at end of file
diff --git a/tabled/input/pdflines.py b/tabled/input/pdflines.py
new file mode 100644
index 0000000..701fe5a
--- /dev/null
+++ b/tabled/input/pdflines.py
@@ -0,0 +1,156 @@
+from typing import List
+
+from pdftext.extraction import dictionary_output
+from surya.recognition.schema import TextLine
+
+from surya.common.polygon import PolygonBox
+import numpy as np
+
+from surya.settings import settings
+
+def sort_text_lines(lines: List[TextLine] | List[dict], tolerance=1.25):
+    # Sorts in reading order.  Not 100% accurate, this should only
+    # be used as a starting point for more advanced sorting.
+    vertical_groups = {}
+    for line in lines:
+        group_key = round(line.bbox[1] if isinstance(line, TextLine) else line["bbox"][1] / tolerance) * tolerance
+        if group_key not in vertical_groups:
+            vertical_groups[group_key] = []
+        vertical_groups[group_key].append(line)
+
+    # Sort each group horizontally and flatten the groups into a single list
+    sorted_lines = []
+    for _, group in sorted(vertical_groups.items()):
+        sorted_group = sorted(group, key=lambda x: x.bbox[0] if isinstance(x, TextLine) else x["bbox"][0])
+        sorted_lines.extend(sorted_group)
+
+    return sorted_lines
+
+
+def get_page_text_lines(filepath: str, page_idxs: list, out_sizes: list, flatten_pdf: bool = settings.FLATTEN_PDF) -> list:
+    assert len(page_idxs) == len(out_sizes)
+    pages_text = dictionary_output(filepath, sort=False, page_range=page_idxs, keep_chars=True, flatten_pdf=flatten_pdf)
+    for full_text, out_size in zip(pages_text, out_sizes):
+        width = full_text["width"]
+        height = full_text["height"]
+        text_w_scale = out_size[0] / width
+        text_h_scale = out_size[1] / height
+        for block in full_text["blocks"]:
+            for line in block["lines"]:
+                line["bbox"] = [line["bbox"][0] * text_w_scale, line["bbox"][1] * text_h_scale,
+                                line["bbox"][2] * text_w_scale, line["bbox"][3] * text_h_scale]
+                for span in line["spans"]:
+                    for char in span["chars"]:
+                        char["bbox"] = [char["bbox"][0] * text_w_scale, char["bbox"][1] * text_h_scale,
+                                        char["bbox"][2] * text_w_scale, char["bbox"][3] * text_h_scale]
+    return pages_text
+
+
+def get_dynamic_gap_thresh(full_text: dict, img_size: list, default_thresh=.01, min_chars=100):
+    space_dists = []
+    for block in full_text["blocks"]:
+        for line in block["lines"]:
+            for span in line["spans"]:
+                for i in range(1, len(span["chars"])):
+                    char1 = span["chars"][i - 1]
+                    char2 = span["chars"][i]
+                    if full_text["rotation"] == 90:
+                        space_dists.append((char2["bbox"][0] - char1["bbox"][2]) / img_size[0])
+                    elif full_text["rotation"] == 180:
+                        space_dists.append((char2["bbox"][1] - char1["bbox"][3]) / img_size[1])
+                    elif full_text["rotation"] == 270:
+                        space_dists.append((char1["bbox"][0] - char2["bbox"][2]) / img_size[0])
+                    else:
+                        space_dists.append((char1["bbox"][1] - char2["bbox"][3]) / img_size[1])
+    cell_gap_thresh = np.percentile(space_dists, 80) if len(space_dists) > min_chars else default_thresh
+    return cell_gap_thresh
+
+
+def is_same_span(char, curr_box, img_size, space_thresh, rotation):
+    def normalized_diff(a, b, dimension, mult=1, use_abs=True):
+        func = abs if use_abs else lambda x: x
+        return func(a - b) / img_size[dimension] < space_thresh * mult
+
+    bbox = char["bbox"]
+    if rotation == 90:
+        return all([
+            normalized_diff(bbox[0], curr_box[0], 0, use_abs=False),
+            normalized_diff(bbox[1], curr_box[3], 1),
+            normalized_diff(bbox[0], curr_box[0], 0, mult=5)
+        ])
+    elif rotation == 180:
+        return all([
+            normalized_diff(bbox[2], curr_box[0], 0, use_abs=False),
+            normalized_diff(bbox[1], curr_box[1], 1),
+            normalized_diff(bbox[2], curr_box[0], 1, mult=5)
+        ])
+    elif rotation == 270:
+        return all([
+            normalized_diff(bbox[0], curr_box[0], 0, use_abs=False),
+            normalized_diff(bbox[3], curr_box[1], 1),
+            normalized_diff(bbox[0], curr_box[0], 1, mult=5)
+        ])
+    else:  # 0 or default case
+        return all([
+            normalized_diff(bbox[0], curr_box[2], 0, use_abs=False),
+            normalized_diff(bbox[1], curr_box[1], 1),
+            normalized_diff(bbox[0], curr_box[2], 1, mult=5)
+        ])
+
+
+def get_table_blocks(tables: list, full_text: dict, img_size: list, table_thresh=.8, space_thresh=.01):
+    # Returns coordinates relative to input table, not full image
+    table_texts = []
+    space_thresh = max(space_thresh, get_dynamic_gap_thresh(full_text, img_size, default_thresh=space_thresh))
+    for table in tables:
+        table_poly = PolygonBox(polygon=[
+            [table[0], table[1]],
+            [table[2], table[1]],
+            [table[2], table[3]],
+            [table[0], table[3]]
+        ])
+        table_text = []
+        rotation = full_text["rotation"]
+        for block in full_text["blocks"]:
+            for line in block["lines"]:
+                line_poly = PolygonBox(polygon=[
+                    [line["bbox"][0], line["bbox"][1]],
+                    [line["bbox"][2], line["bbox"][1]],
+                    [line["bbox"][2], line["bbox"][3]],
+                    [line["bbox"][0], line["bbox"][3]]
+                ])
+                if line_poly.intersection_pct(table_poly) < table_thresh:
+                    continue
+                curr_span = None
+                curr_box = None
+                for span in line["spans"]:
+                    for char in span["chars"]:
+                        same_span = False
+                        if curr_span:
+                            same_span = is_same_span(char, curr_box, img_size, space_thresh, rotation)
+
+                        if curr_span is None:
+                            curr_span = char["char"]
+                            curr_box = char["bbox"]
+                        elif same_span:
+                            curr_span += char["char"]
+                            curr_box = [min(curr_box[0], char["bbox"][0]), min(curr_box[1], char["bbox"][1]),
+                                        max(curr_box[2], char["bbox"][2]), max(curr_box[3], char["bbox"][3])]
+                        else:
+                            if curr_span.strip():
+                                table_text.append({"text": curr_span, "bbox": curr_box})
+                            curr_span = char["char"]
+                            curr_box = char["bbox"]
+                if curr_span is not None and curr_span.strip():
+                    table_text.append({"text": curr_span, "bbox": curr_box})
+        # Adjust to be relative to input table
+        for item in table_text:
+            item["bbox"] = [
+                item["bbox"][0] - table[0],
+                item["bbox"][1] - table[1],
+                item["bbox"][2] - table[0],
+                item["bbox"][3] - table[1]
+            ]
+        table_text = sort_text_lines(table_text)
+        table_texts.append(table_text)
+    return table_texts
\ No newline at end of file