diff --git a/nwb_to_RasterVis/scripts/nwb_to_rasterVis.py b/nwb_to_RasterVis/scripts/nwb_to_rasterVis.py
new file mode 100644
index 0000000..376cf26
--- /dev/null
+++ b/nwb_to_RasterVis/scripts/nwb_to_rasterVis.py
@@ -0,0 +1,69 @@
+import json
+from pathlib import Path
+import numpy as np
+from pynwb import NWBHDF5IO
+
+
+def make_trials_json(trials, nwbfile, output_path=""):
+    subject = str(nwbfile.subject.subject_id)
+    json_data = [
+        {"trial_id": trial_id, **trial.to_dict()}
+        for trial_id, trial in trials.iterrows()
+    ]
+    trials_filename = Path(output_path) / Path(f"{subject}_TrialInfo.json")
+    json_output = json.dumps(json_data)
+
+    with open(trials_filename, "w") as file:
+        file.write(json_output)
+
+
+def make_neurons_json(trials, units, nwbfile, output_path="", brain_area_column=None):
+    n_trials = len(trials)
+    subject = str(nwbfile.subject.subject_id)
+
+    for unit_id, unit in units.iterrows():
+        unit_spike_times = unit["spike_times"]
+
+        # Need to make optional because brain area not always here.
+        # IBL data has other column. Give user option to specify column or check this automatically.
+        if brain_area_column is not None:
+            brain_area = unit[brain_area_column]
+        else:
+            try:
+                brain_area = str(unit["electrodes"].location.to_numpy()[0])
+            except AttributeError:
+                brain_area = "unknown"
+
+        spikes_list = [
+            {
+                "trial_id": trial_id,
+                "spikes": unit_spike_times[
+                    np.logical_and(
+                        unit_spike_times > trial["start_time"],
+                        unit_spike_times < trial["stop_time"],
+                    )
+                ].tolist(),
+            }
+            for trial_id, trial in trials.iterrows()
+        ]
+        json_data = {
+            "Name": str(unit_id),
+            "Brain_Area": brain_area,
+            "Subject": subject,
+            "Number_of_Trials": n_trials,
+            "Spikes": spikes_list,
+        }
+        neuron_filename = Path(output_path) / Path(f"Neuron_{subject}_{unit_id}.json")
+        json_output = json.dumps(json_data)
+
+        with open(neuron_filename, "w") as file:
+            file.write(json_output)
+
+
+def run_conversion(nwb_path, output_path=""):
+    with NWBHDF5IO(nwb_path, "r") as io:
+        nwbfile = io.read()
+        units = nwbfile.units.to_dataframe()
+        trials = nwbfile.trials.to_dataframe()
+        make_neurons_json(trials, units, nwbfile, output_path=output_path)
+        make_trials_json(trials, nwbfile, output_path=output_path)