diff --git a/.github/workflows/mr_ci_text_spotting.yml b/.github/workflows/mr_ci_text_spotting.yml
new file mode 100644
index 00000000..7e40217c
--- /dev/null
+++ b/.github/workflows/mr_ci_text_spotting.yml
@@ -0,0 +1,89 @@
+---
+name: Units Tests - Text Spotting
+
+on: [push]
+
+# Run linter with github actions for quick feedbacks.
+jobs:
+
+  macos_tests:
+    runs-on: macos-latest
+    # run on PRs, or commits to facebookresearch (not internal)
+    strategy:
+      fail-fast: false
+      matrix:
+        torch: ["1.13.1", "2.2.2"]
+        include:
+          - torch: "1.13.1"
+            torchvision: "0.14.1"
+          - torch: "2.2.2"
+            torchvision: "0.17.2"
+
+    env:
+      # point datasets to ~/.torch so it's cached by CI
+      DETECTRON2_DATASETS: ~/.torch/datasets
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+
+      - name: Set up Python 3.9
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.9
+
+      - name: Update pip
+        run: |
+          python -m ensurepip
+          python -m pip install --upgrade pip
+
+      - name: Install dependencies
+        run: |
+          python -m pip install -U pip
+          python -m pip install wheel ninja opencv-python-headless onnx pytest-xdist
+          python -m pip install numpy==1.26.4
+          python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+          # install from github to get latest; install iopath first since fvcore depends on it
+          python -m pip install -U 'git+https://github.com/facebookresearch/iopath'
+          python -m pip install -U 'git+https://github.com/facebookresearch/fvcore'
+          wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
+          python collect_env.py
+
+      - name: Build and install
+        run: |
+          CC=clang CXX=clang++ python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
+          python -m detectron2.utils.collect_env
+          python -m pip install ".[dev]"
+
+      - name: Install DPText-DETR
+        run: |
+          git clone https://github.com/maps-as-data/DPText-DETR.git
+          python -m pip install 'git+https://github.com/maps-as-data/DPText-DETR.git' # Install DPText-DETR
+          python -m pip install numpy==1.26.4
+          wget https://huggingface.co/rwood-97/DPText_DETR_ArT_R_50_poly/resolve/main/art_final.pth
+
+      - name: Run DPText-DETR unittests
+        run: |
+          python -m pytest test_text_spotting/test_dptext_runner.py
+
+
+      - name: Install DeepSolo
+        run: |
+          git clone https://github.com/maps-as-data/DeepSolo.git
+          python -m pip install 'git+https://github.com/maps-as-data/DeepSolo.git' --force-reinstall --no-deps # Install DeepSolo
+          python -m pip install numpy==1.26.4
+          wget https://huggingface.co/rwood-97/DeepSolo_ic15_res50/resolve/main/ic15_res50_finetune_synth-tt-mlt-13-15-textocr.pth
+
+      - name: Run DeepSolo unittests
+        run: |
+          python -m pytest test_text_spotting/test_deepsolo_runner.py
+
+      - name: Install MapTextPipeline
+        run: |
+          git clone https://github.com/maps-as-data/MapTextPipeline.git
+          python -m pip install 'git+https://github.com/maps-as-data/MapTextPipeline.git' --force-reinstall --no-deps # Install MapTextPipeline
+          python -m pip install "numpy<2.0.0"
+          wget https://huggingface.co/rwood-97/MapTextPipeline_rumsey/resolve/main/rumsey-finetune.pth
+
+      - name: Run MapTextPipeline unittests
+        run: |
+          python -m pytest test_text_spotting/test_maptext_runner.py
diff --git a/CHANGELOG.md b/CHANGELOG.md
index e72137e0..c828444e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -24,6 +24,7 @@ _ADD NEW CHANGES HERE_
 - All file loading methods now support `pathlib.Path` and `gpd.GeoDataFrame` objects as input ([#495](https://github.com/maps-as-data/MapReader/pull/495))
 - Loading of dataframes from GeoJSON files now supported in many file loading methods (e.g. `add_metadata`, `Annotator.__init__`, `AnnotationsLoader.load`, etc.) ([#495](https://github.com/maps-as-data/MapReader/pull/495))
 - `load_frames.py` added to `mapreader.utils`. This has functions for loading from various file formats (e.g. CSV, Excel, GeoJSON, etc.) and converting to GeoDataFrames ([#495](https://github.com/maps-as-data/MapReader/pull/495))
+- Added tests for text spotting code ([#500](https://github.com/maps-as-data/MapReader/pull/500))
 
 ### Changed
 
diff --git a/docs/source/community-and-contributions/contribution-guide/developers-corner/running-tests.rst b/docs/source/community-and-contributions/contribution-guide/developers-corner/running-tests.rst
index db20c10a..4b885ef4 100644
--- a/docs/source/community-and-contributions/contribution-guide/developers-corner/running-tests.rst
+++ b/docs/source/community-and-contributions/contribution-guide/developers-corner/running-tests.rst
@@ -1,9 +1,9 @@
 Running tests
 =============
 
-To run the tests for MapReader, you will need to have installed the **dev dependencies** as described above.
+To run the tests for MapReader, you will need to have installed the **dev dependencies** (as described :doc:`here </getting-started/installation-instructions/2-install-mapreader>`.
 
-Also, if you have followed the "Install from PyPI" instructions, you will need to clone the MapReader repository to access the tests. i.e.:
+.. note:: If you have followed the "Install from PyPI" instructions, you will also need to clone the MapReader repository to access the tests. i.e.:
 
 .. code-block:: bash
 
@@ -18,3 +18,44 @@ You can then run the tests using from the root of the MapReader directory using
    python -m pytest -v
 
 If all tests pass, this means that MapReader has been installed and is working as expected.
+
+Testing text spotting
+---------------------
+
+The tests for the text spotting code are separated from the main tests due to dependency conflicts.
+
+You will only be able to run the text spotting tests for the text spotting framework (DPTextDETR, DeepSolo or MapTextPipeline) you have installed.
+
+For DPTextDETR, use the following commands:
+
+.. code-block:: bash
+
+   cd path/to/MapReader # change this to your path, e.g. cd ~/MapReader
+   conda activate mapreader
+   export ADET_PATH=path/to/DPTextDETR # change this to the path where you have saved the DPTextDETR repository
+   wget https://huggingface.co/rwood-97/DPText_DETR_ArT_R_50_poly/resolve/main/art_final.pth # download the model weights
+   python -m pytest -v tests_text_spotting/test_dptext_runner.py
+
+
+For DeepSolo:
+
+.. code-block:: bash
+
+   cd path/to/MapReader # change this to your path, e.g. cd ~/MapReader
+   conda activate mapreader
+   export ADET_PATH=path/to/DeepSolo # change this to the path where you have saved the DeepSolo repository
+   wget https://huggingface.co/rwood-97/DeepSolo_ic15_res50/resolve/main/ic15_res50_finetune_synth-tt-mlt-13-15-textocr.pth # download the model weights
+   python -m pytest -v tests_text_spotting/test_deepsolo_runner.py
+
+For MapTextPipeline:
+
+.. code-block:: bash
+
+   cd path/to/MapReader # change this to your path, e.g. cd ~/MapReader
+   conda activate mapreader
+   export ADET_PATH=path/to/MapTextPipeline # change this to the path where you have saved the MapTextPipeline repository
+   wget https://huggingface.co/rwood-97/MapTextPipeline_rumsey/resolve/main/rumsey-finetune.pth # download the model weights
+   python -m pytest -v tests_text_spotting/test_maptext_runner.py
+
+
+If all tests pass, this means that the text spotting framework has been installed and is working as expected.
diff --git a/test_text_spotting/test_deepsolo_runner.py b/test_text_spotting/test_deepsolo_runner.py
new file mode 100644
index 00000000..c62a79f6
--- /dev/null
+++ b/test_text_spotting/test_deepsolo_runner.py
@@ -0,0 +1,228 @@
+from __future__ import annotations
+
+import os
+import pathlib
+import pickle
+
+import adet
+import geopandas as gpd
+import pandas as pd
+import pytest
+from detectron2.engine import DefaultPredictor
+from detectron2.structures.instances import Instances
+
+from mapreader import DeepSoloRunner
+from mapreader.load import MapImages
+
+print(adet.__version__)
+
+# use cloned DeepSolo path if running in github actions
+ADET_PATH = (
+    pathlib.Path("./DeepSolo/").resolve()
+    if os.getenv("GITHUB_ACTIONS") == "true"
+    else pathlib.Path(os.getenv("ADET_PATH")).resolve()
+)
+
+
+@pytest.fixture
+def sample_dir():
+    return pathlib.Path(__file__).resolve().parent.parent / "tests" / "sample_files"
+
+
+@pytest.fixture
+def init_dataframes(sample_dir, tmp_path):
+    """Initializes MapImages object (with metadata from csv and patches) and creates parent and patch dataframes.
+    Returns
+    -------
+    tuple
+        path to parent and patch dataframes
+    """
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    return parent_df, patch_df
+
+
+@pytest.fixture(scope="function")
+def mock_response(monkeypatch, sample_dir):
+    def mock_pred(self, *args, **kwargs):
+        with open(f"{sample_dir}/patch-0-0-800-40-deepsolo-pred.pkl", "rb") as f:
+            outputs = pickle.load(f)
+        return outputs
+
+    monkeypatch.setattr(DefaultPredictor, "__call__", mock_pred)
+
+
+@pytest.fixture
+def init_runner(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = DeepSoloRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    return runner
+
+
+@pytest.fixture
+def runner_run_all(init_runner, mock_response):
+    runner = init_runner
+    _ = runner.run_all()
+    return runner
+
+
+def test_deepsolo_init(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = DeepSoloRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    assert isinstance(runner, DeepSoloRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_deepsolo_init_str(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = DeepSoloRunner(
+        f"{tmp_path}/patch_df.csv",
+        parent_df=f"{tmp_path}/parent_df.csv",
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    assert isinstance(runner, DeepSoloRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_deepsolo_init_pathlib(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = DeepSoloRunner(
+        pathlib.Path(f"{tmp_path}/patch_df.csv"),
+        parent_df=pathlib.Path(f"{tmp_path}/parent_df.csv"),
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    assert isinstance(runner, DeepSoloRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_deepsolo_init_tsv(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.tsv", sep="\t")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.tsv", sep="\t")
+    runner = DeepSoloRunner(
+        f"{tmp_path}/patch_df.tsv",
+        parent_df=f"{tmp_path}/parent_df.tsv",
+        delimiter="\t",
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    assert isinstance(runner, DeepSoloRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_deepsolo_run_all(init_runner, mock_response):
+    runner = init_runner
+    # dict
+    out = runner.run_all()
+    assert isinstance(out, dict)
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out.keys()
+    assert isinstance(out["patch-0-0-800-40-#mapreader_text.png#.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.patch_predictions, geo=False, parent=False)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(["image_id", "geometry", "text", "score"])
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out["image_id"].values
+
+
+def test_deepsolo_convert_to_parent(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_parent_pixel_bounds()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.parent_predictions, geo=False, parent=True)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(
+        ["image_id", "patch_id", "geometry", "text", "score"]
+    )
+    assert "mapreader_text.png" in out["image_id"].values
+
+
+def test_deepsolo_convert_to_parent_coords(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_coords()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.geo_predictions, geo=True, parent=True)
+    assert isinstance(out, gpd.GeoDataFrame)
+    assert set(out.columns) == set(
+        ["image_id", "patch_id", "geometry", "crs", "text", "score"]
+    )
+    assert "mapreader_text.png" in out["image_id"].values
+    assert out.crs == runner.parent_df.crs
+
+
+def test_deepsolo_deduplicate(sample_dir, tmp_path, mock_response):
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path, overlap=0.5)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    runner = DeepSoloRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/R_50/IC15/finetune_150k_tt_mlt_13_15_textocr.yaml",
+    )
+    _ = runner.run_all()
+    out = runner.convert_to_parent_pixel_bounds(deduplicate=False)
+    len_before = len(out["mapreader_text.png"])
+    runner.parent_predictions = {}
+    out_07 = runner.convert_to_parent_pixel_bounds(deduplicate=True)
+    len_07 = len(out_07["mapreader_text.png"])
+    print(len_before, len_07)
+    assert len_before >= len_07
+    runner.parent_predictions = {}
+    out_05 = runner.convert_to_parent_pixel_bounds(deduplicate=True, min_ioa=0.5)
+    len_05 = len(out_05["mapreader_text.png"])
+    print(len_before, len_05)
+    assert len_before >= len_05
+    assert len_07 >= len_05
+
+
+def test_deepsolo_run_on_image(init_runner, mock_response):
+    runner = init_runner
+    out = runner.run_on_image(
+        runner.patch_df.iloc[0]["image_path"], return_outputs=True
+    )
+    assert isinstance(out, dict)
+    assert "instances" in out.keys()
+    assert isinstance(out["instances"], Instances)
+
+
+def test_deepsolo_save_to_geojson(runner_run_all, tmp_path, mock_response):
+    runner = runner_run_all
+    _ = runner.convert_to_coords()
+    runner.save_to_geojson(f"{tmp_path}/text.geojson")
+    assert os.path.exists(f"{tmp_path}/text.geojson")
+    gdf = gpd.read_file(f"{tmp_path}/text.geojson")
+    assert isinstance(gdf, gpd.GeoDataFrame)
+    assert set(gdf.columns) == set(
+        ["image_id", "patch_id", "geometry", "crs", "text", "score"]
+    )
diff --git a/test_text_spotting/test_dptext_runner.py b/test_text_spotting/test_dptext_runner.py
new file mode 100644
index 00000000..5006a129
--- /dev/null
+++ b/test_text_spotting/test_dptext_runner.py
@@ -0,0 +1,222 @@
+from __future__ import annotations
+
+import os
+import pathlib
+import pickle
+
+import adet
+import geopandas as gpd
+import pandas as pd
+import pytest
+from detectron2.engine import DefaultPredictor
+from detectron2.structures.instances import Instances
+
+from mapreader import DPTextDETRRunner
+from mapreader.load import MapImages
+
+print(adet.__version__)
+
+# use cloned DPText-DETR path if running in github actions
+ADET_PATH = (
+    pathlib.Path("./DPText-DETR/").resolve()
+    if os.getenv("GITHUB_ACTIONS") == "true"
+    else pathlib.Path(os.getenv("ADET_PATH")).resolve()
+)
+
+
+@pytest.fixture
+def sample_dir():
+    return pathlib.Path(__file__).resolve().parent.parent / "tests" / "sample_files"
+
+
+@pytest.fixture
+def init_dataframes(sample_dir, tmp_path):
+    """Initializes MapImages object (with metadata from csv and patches) and creates parent and patch dataframes.
+    Returns
+    -------
+    tuple
+        path to parent and patch dataframes
+    """
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    return parent_df, patch_df
+
+
+@pytest.fixture(scope="function")
+def mock_response(monkeypatch, sample_dir):
+    def mock_pred(self, *args, **kwargs):
+        with open(f"{sample_dir}/patch-0-0-800-40-dptext-detr-pred.pkl", "rb") as f:
+            outputs = pickle.load(f)
+        return outputs
+
+    monkeypatch.setattr(DefaultPredictor, "__call__", mock_pred)
+
+
+@pytest.fixture
+def init_runner(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = DPTextDETRRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    return runner
+
+
+@pytest.fixture
+def runner_run_all(init_runner, mock_response):
+    runner = init_runner
+    _ = runner.run_all()
+    return runner
+
+
+def test_dptext_init(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = DPTextDETRRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    assert isinstance(runner, DPTextDETRRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_dptext_init_str(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = DPTextDETRRunner(
+        f"{tmp_path}/patch_df.csv",
+        parent_df=f"{tmp_path}/parent_df.csv",
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    assert isinstance(runner, DPTextDETRRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_dptext_init_pathlib(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = DPTextDETRRunner(
+        pathlib.Path(f"{tmp_path}/patch_df.csv"),
+        parent_df=pathlib.Path(f"{tmp_path}/parent_df.csv"),
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    assert isinstance(runner, DPTextDETRRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_dptext_init_tsv(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.tsv", sep="\t")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.tsv", sep="\t")
+    runner = DPTextDETRRunner(
+        f"{tmp_path}/patch_df.tsv",
+        parent_df=f"{tmp_path}/parent_df.tsv",
+        delimiter="\t",
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    assert isinstance(runner, DPTextDETRRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_dptext_run_all(init_runner, mock_response):
+    runner = init_runner
+    # dict
+    out = runner.run_all()
+    assert isinstance(out, dict)
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out.keys()
+    assert isinstance(out["patch-0-0-800-40-#mapreader_text.png#.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.patch_predictions, geo=False, parent=False)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(["image_id", "geometry", "score"])
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out["image_id"].values
+
+
+def test_dptext_convert_to_parent(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_parent_pixel_bounds()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.parent_predictions, geo=False, parent=True)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(["image_id", "patch_id", "geometry", "score"])
+    assert "mapreader_text.png" in out["image_id"].values
+
+
+def test_dptext_convert_to_parent_coords(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_coords()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.geo_predictions, geo=True, parent=True)
+    assert isinstance(out, gpd.GeoDataFrame)
+    assert set(out.columns) == set(["image_id", "patch_id", "geometry", "crs", "score"])
+    assert "mapreader_text.png" in out["image_id"].values
+    assert out.crs == runner.parent_df.crs
+
+
+def test_dptext_deduplicate(sample_dir, tmp_path, mock_response):
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path, overlap=0.5)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    runner = DPTextDETRRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/DPText_DETR/ArT/R_50_poly.yaml",
+    )
+    _ = runner.run_all()
+    out = runner.convert_to_parent_pixel_bounds(deduplicate=False)
+    len_before = len(out["mapreader_text.png"])
+    runner.parent_predictions = {}
+    out_07 = runner.convert_to_parent_pixel_bounds(deduplicate=True)
+    len_07 = len(out_07["mapreader_text.png"])
+    print(len_before, len_07)
+    assert len_before >= len_07
+    runner.parent_predictions = {}
+    out_05 = runner.convert_to_parent_pixel_bounds(deduplicate=True, min_ioa=0.5)
+    len_05 = len(out_05["mapreader_text.png"])
+    print(len_before, len_05)
+    assert len_before >= len_05
+    assert len_07 >= len_05
+
+
+def test_dptext_run_on_image(init_runner, mock_response):
+    runner = init_runner
+    out = runner.run_on_image(
+        runner.patch_df.iloc[0]["image_path"], return_outputs=True
+    )
+    assert isinstance(out, dict)
+    assert "instances" in out.keys()
+    assert isinstance(out["instances"], Instances)
+
+
+def test_dptext_save_to_geojson(runner_run_all, tmp_path, mock_response):
+    runner = runner_run_all
+    _ = runner.convert_to_coords()
+    runner.save_to_geojson(f"{tmp_path}/text.geojson")
+    assert os.path.exists(f"{tmp_path}/text.geojson")
+    gdf = gpd.read_file(f"{tmp_path}/text.geojson")
+    assert isinstance(gdf, gpd.GeoDataFrame)
+    assert set(gdf.columns) == set(["image_id", "patch_id", "geometry", "crs", "score"])
diff --git a/test_text_spotting/test_maptext_runner.py b/test_text_spotting/test_maptext_runner.py
new file mode 100644
index 00000000..9690bcc9
--- /dev/null
+++ b/test_text_spotting/test_maptext_runner.py
@@ -0,0 +1,228 @@
+from __future__ import annotations
+
+import os
+import pathlib
+import pickle
+
+import adet
+import geopandas as gpd
+import pandas as pd
+import pytest
+from detectron2.engine import DefaultPredictor
+from detectron2.structures.instances import Instances
+
+from mapreader import MapTextRunner
+from mapreader.load import MapImages
+
+print(adet.__version__)
+
+# use cloned MapTextPipeline path if running in github actions
+ADET_PATH = (
+    pathlib.Path("./MapTextPipeline/").resolve()
+    if os.getenv("GITHUB_ACTIONS") == "true"
+    else pathlib.Path(os.getenv("ADET_PATH")).resolve()
+)
+
+
+@pytest.fixture
+def sample_dir():
+    return pathlib.Path(__file__).resolve().parent.parent / "tests" / "sample_files"
+
+
+@pytest.fixture
+def init_dataframes(sample_dir, tmp_path):
+    """Initializes MapImages object (with metadata from csv and patches) and creates parent and patch dataframes.
+    Returns
+    -------
+    tuple
+        path to parent and patch dataframes
+    """
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    return parent_df, patch_df
+
+
+@pytest.fixture(scope="function")
+def mock_response(monkeypatch, sample_dir):
+    def mock_pred(self, *args, **kwargs):
+        with open(f"{sample_dir}/patch-0-0-800-40-maptext-pred.pkl", "rb") as f:
+            outputs = pickle.load(f)
+        return outputs
+
+    monkeypatch.setattr(DefaultPredictor, "__call__", mock_pred)
+
+
+@pytest.fixture
+def init_runner(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = MapTextRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    return runner
+
+
+@pytest.fixture
+def runner_run_all(init_runner, mock_response):
+    runner = init_runner
+    _ = runner.run_all()
+    return runner
+
+
+def test_maptext_init(init_dataframes):
+    parent_df, patch_df = init_dataframes
+    runner = MapTextRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    assert isinstance(runner, MapTextRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_maptext_init_str(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = MapTextRunner(
+        f"{tmp_path}/patch_df.csv",
+        parent_df=f"{tmp_path}/parent_df.csv",
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    assert isinstance(runner, MapTextRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_maptext_init_pathlib(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.csv")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.csv")
+    runner = MapTextRunner(
+        pathlib.Path(f"{tmp_path}/patch_df.csv"),
+        parent_df=pathlib.Path(f"{tmp_path}/parent_df.csv"),
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    assert isinstance(runner, MapTextRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_maptext_init_tsv(init_dataframes, tmp_path):
+    parent_df, patch_df = init_dataframes
+    parent_df = parent_df.to_csv(f"{tmp_path}/parent_df.tsv", sep="\t")
+    patch_df = patch_df.to_csv(f"{tmp_path}/patch_df.tsv", sep="\t")
+    runner = MapTextRunner(
+        f"{tmp_path}/patch_df.tsv",
+        parent_df=f"{tmp_path}/parent_df.tsv",
+        delimiter="\t",
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    assert isinstance(runner, MapTextRunner)
+    assert isinstance(runner.predictor, DefaultPredictor)
+    assert isinstance(runner.parent_df.iloc[0]["coordinates"], tuple)
+    assert isinstance(runner.patch_df.iloc[0]["coordinates"], tuple)
+
+
+def test_maptext_run_all(init_runner, mock_response):
+    runner = init_runner
+    # dict
+    out = runner.run_all()
+    assert isinstance(out, dict)
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out.keys()
+    assert isinstance(out["patch-0-0-800-40-#mapreader_text.png#.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.patch_predictions, geo=False, parent=False)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(["image_id", "geometry", "text", "score"])
+    assert "patch-0-0-800-40-#mapreader_text.png#.png" in out["image_id"].values
+
+
+def test_maptext_convert_to_parent(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_parent_pixel_bounds()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.parent_predictions, geo=False, parent=True)
+    assert isinstance(out, pd.DataFrame)
+    assert set(out.columns) == set(
+        ["image_id", "patch_id", "geometry", "text", "score"]
+    )
+    assert "mapreader_text.png" in out["image_id"].values
+
+
+def test_maptext_convert_to_parent_coords(runner_run_all, mock_response):
+    runner = runner_run_all
+    # dict
+    out = runner.convert_to_coords()
+    assert isinstance(out, dict)
+    assert "mapreader_text.png" in out.keys()
+    assert isinstance(out["mapreader_text.png"], list)
+    # dataframe
+    out = runner._dict_to_dataframe(runner.geo_predictions, geo=True, parent=True)
+    assert isinstance(out, gpd.GeoDataFrame)
+    assert set(out.columns) == set(
+        ["image_id", "patch_id", "geometry", "crs", "text", "score"]
+    )
+    assert "mapreader_text.png" in out["image_id"].values
+    assert out.crs == runner.parent_df.crs
+
+
+def test_maptext_deduplicate(sample_dir, tmp_path, mock_response):
+    maps = MapImages(f"{sample_dir}/mapreader_text.png")
+    maps.add_metadata(f"{sample_dir}/mapreader_text_metadata.csv")
+    maps.patchify_all(patch_size=800, path_save=tmp_path, overlap=0.5)
+    maps.check_georeferencing()
+    parent_df, patch_df = maps.convert_images()
+    runner = MapTextRunner(
+        patch_df,
+        parent_df=parent_df,
+        cfg_file=f"{ADET_PATH}/configs/ViTAEv2_S/rumsey/final_rumsey.yaml",
+    )
+    _ = runner.run_all()
+    out = runner.convert_to_parent_pixel_bounds(deduplicate=False)
+    len_before = len(out["mapreader_text.png"])
+    runner.parent_predictions = {}
+    out_07 = runner.convert_to_parent_pixel_bounds(deduplicate=True)
+    len_07 = len(out_07["mapreader_text.png"])
+    print(len_before, len_07)
+    assert len_before >= len_07
+    runner.parent_predictions = {}
+    out_05 = runner.convert_to_parent_pixel_bounds(deduplicate=True, min_ioa=0.5)
+    len_05 = len(out_05["mapreader_text.png"])
+    print(len_before, len_05)
+    assert len_before >= len_05
+    assert len_07 >= len_05
+
+
+def test_maptext_run_on_image(init_runner, mock_response):
+    runner = init_runner
+    out = runner.run_on_image(
+        runner.patch_df.iloc[0]["image_path"], return_outputs=True
+    )
+    assert isinstance(out, dict)
+    assert "instances" in out.keys()
+    assert isinstance(out["instances"], Instances)
+
+
+def test_maptext_save_to_geojson(runner_run_all, tmp_path, mock_response):
+    runner = runner_run_all
+    _ = runner.convert_to_coords()
+    runner.save_to_geojson(f"{tmp_path}/text.geojson")
+    assert os.path.exists(f"{tmp_path}/text.geojson")
+    gdf = gpd.read_file(f"{tmp_path}/text.geojson")
+    assert isinstance(gdf, gpd.GeoDataFrame)
+    assert set(gdf.columns) == set(
+        ["image_id", "patch_id", "geometry", "crs", "text", "score"]
+    )
diff --git a/tests/sample_files/mapreader_text.png b/tests/sample_files/mapreader_text.png
new file mode 100644
index 00000000..402b53b7
Binary files /dev/null and b/tests/sample_files/mapreader_text.png differ
diff --git a/tests/sample_files/mapreader_text_metadata.csv b/tests/sample_files/mapreader_text_metadata.csv
new file mode 100644
index 00000000..7aa8481a
--- /dev/null
+++ b/tests/sample_files/mapreader_text_metadata.csv
@@ -0,0 +1,2 @@
+,name,url,coordinates,crs,published_date,grid_bb
+0,mapreader_text.png,https://maps.nls.uk/view/74488689,"(-4.833984375, 55.78892895389263, -4.19677734375, 56.05976947910656)",EPSG:4326,1898,"[(14, 7972, 5097)x(14, 8000, 5118)]"
diff --git a/tests/sample_files/patch-0-0-800-40-deepsolo-pred.pkl b/tests/sample_files/patch-0-0-800-40-deepsolo-pred.pkl
new file mode 100644
index 00000000..97aadcd8
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diff --git a/tests/sample_files/patch-0-0-800-40-dptext-detr-pred.pkl b/tests/sample_files/patch-0-0-800-40-dptext-detr-pred.pkl
new file mode 100644
index 00000000..c4e19624
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diff --git a/tests/sample_files/patch-0-0-800-40-maptext-pred.pkl b/tests/sample_files/patch-0-0-800-40-maptext-pred.pkl
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