diff --git a/frontend/src/components/EditableText/EditableText.tsx b/frontend/src/components/EditableText/EditableText.tsx
index 93fc4971..18d9b37a 100644
--- a/frontend/src/components/EditableText/EditableText.tsx
+++ b/frontend/src/components/EditableText/EditableText.tsx
@@ -23,6 +23,10 @@ export const EditableText: FC<EditableTextProps> = ({
                                                         },
                                                         onSave = () => {
                                                         },
+                                                        onEdit = () => {
+                                                        },
+                                                        onCancel = () => {
+                                                        },
                                                         textFormatter = (text) => text
                                                     }: EditableTextProps) => {
     const [isEditing, setIsEditing] = useState(false)
@@ -45,7 +49,7 @@ export const EditableText: FC<EditableTextProps> = ({
 
     const _onEdit = () => {
         setIsEditing(true)
-        // onEdit()
+        onEdit()
     }
 
     const _onSave = () => {
@@ -56,6 +60,7 @@ export const EditableText: FC<EditableTextProps> = ({
     const _onCancel = () => {
         setValue(text)
         setIsEditing(false)
+        onCancel()
     }
     const _onKeyDown = (e: React.KeyboardEvent<HTMLInputElement>) => {
         if (e.key === 'Enter') {
diff --git a/frontend/src/pages/ReviewTemplate.tsx b/frontend/src/pages/ReviewTemplate.tsx
index 890293d8..7d1999a9 100644
--- a/frontend/src/pages/ReviewTemplate.tsx
+++ b/frontend/src/pages/ReviewTemplate.tsx
@@ -1,11 +1,10 @@
-import { ExtractStep } from "../utils/constants";
-import { useNavigate } from "react-router-dom";
-import { useEffect, useState } from "react";
+import {ExtractStep} from "../utils/constants";
+import {useNavigate} from "react-router-dom";
+import React, {useEffect, useState} from "react";
 import ExtractDataHeader from "../components/ExtractDataHeader";
-import React from "react";
-import { ExtractStepper } from "../components/ExtractStepper";
-import { Table, Icon, Button } from "@trussworks/react-uswds";
-import { Divider } from "../components/Divider";
+import {ExtractStepper} from "../components/ExtractStepper";
+import {Button, Icon} from "@trussworks/react-uswds";
+import {Divider} from "../components/Divider";
 import documentImage from "./SyphForm.png"; //Please enter your file of choice here
 import "./ReviewTemplate.scss";
 import aiIconUrl from "../assets/ai_icon.svg";
@@ -13,238 +12,268 @@ import {SortableTable} from "../components/SortableTable/SortableTable.tsx";
 import {EditableText} from "../components/EditableText/EditableText.tsx";
 
 interface Result {
-  text: string;
-  confidence: number;
-  edited?: boolean;
+    text: string;
+    confidence: number;
+    edited?: boolean;
 }
 
 interface SubmissionData {
-  template_name: string;
-  file_image: string;
-  results: {
-    [key: string]: Result;
-  };
+    template_name: string;
+    file_image: string;
+    results: {
+        [key: string]: Result;
+    };
 }
 
 const ReviewTemplate: React.FC = () => {
-  const navigate = useNavigate();
-  const [index, setIndex] = useState<number>(0);
-  const [submissionData, setSubmissionData] = useState<SubmissionData | null>(
-    null
-  );
+    const navigate = useNavigate();
+    const [index, setIndex] = useState<number>(0);
+    const [submissionData, setSubmissionData] = useState<SubmissionData | null>(
+        null
+    );
 
-  const [images, setImages] = useState<string[]>([]);
+    const [images, setImages] = useState<string[]>([]);
+    const [templates, setTemplates] = useState<Template[]>([]);
+    const [selectedField, setSelectedField] = useState<string | null>(null);
 
-  const fakeData = {
-    template_name: "Syph Template",
-    file_image: documentImage,
-    results: {
-      Name: {
-        text: "TESTPATIENT,13",
-        confidence: 97,
-      },
-      Patient_ID: {
-        text: "12090546",
-        confidence: 98,
-      },
-      DrawLocation: {
-        text: "BH_1Diamondd_LAB",
-        confidence: 56,
-      },
-    },
-  };
-
-  const handleImageChange = (index: number) => {
-    setIndex(index);
-  }
-    
-  useEffect(() => {
-    const data = localStorage.getItem("submission");
-    if (data) {
-      setSubmissionData(JSON.parse(data));
-    } else {
-      // use fakedata if no data
-      setSubmissionData(fakeData);
+    const fakeData = {
+        template_name: "Test",
+        template_image: 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",
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",
+        results: {
+            Name: {
+                text: "TESTPATIENT,13",
+                confidence: 97,
+            },
+            Patient_ID: {
+                text: "12090546",
+                confidence: 98,
+            },
+            DrawLocation: {
+                text: "BH_1Diamondd_LAB",
+                confidence: 56,
+            },
+        },
+    };
+
+
+    const handleImageChange = (index: number) => {
+        setIndex(index);
     }
-  }, []);
 
-  const [editedValues, setEditedValues] = useState<Map<string, string>>(new Map());
+    useEffect(() => {
+        const data = localStorage.getItem("submission");
+        if (data) {
+            setSubmissionData(JSON.parse(data));
+        } else {
+            // use fakedata if no data
+            setSubmissionData(fakeData);
+        }
+    }, []);
+
+    const [editedValues, setEditedValues] = useState<Map<string, string>>(new Map());
+
+    useEffect(() => {
+        const data = localStorage.getItem("images");
+        if (data) {
+            setImages(JSON.parse(data));
+        } else {
+            // use fakedata if no data
+            setImages([documentImage]);
+        }
+    }, []);
+
+    const handleBack = () => {
+        navigate("/extract/upload");
+    };
+
+    const handleSubmit = () => {
+        navigate("/extract/submit");
+    };
+
+    const handleClose = () => {
+        navigate("/");
+    };
+
+    useEffect(() => {
+        const data = localStorage.getItem("templates");
+        if (data) {
+            setTemplates(JSON.parse(data));
+        }
+    }, []);
 
-  useEffect(() => {
-    const data = localStorage.getItem("images");
-    if (data) {
-      setImages(JSON.parse(data));
-    } else {
-      // use fakedata if no data
-      setImages([documentImage]);
+
+    const template = templates.filter(t => t.name === submissionData?.template_name)?.[0]
+    const fieldShapes = template?.pages[index]?.fieldNames.reduce((acc, curr, idx) => {
+        acc[curr.label] = template.pages[index].shapes[idx].points
+        return acc
+    }, {}) || {};
+
+
+    const maskShape = fieldShapes[selectedField]?.map(([x, y]) => `${x},${y}`)?.join(" ");
+
+
+    //fallback if no valid template is available can edit if needed
+    if (!submissionData) {
+        return <div>No submission Data</div>;
     }
-  }, []);
-
-  const handleBack = () => {
-    navigate("/extract/upload");
-  };
-
-  const handleSubmit = () => {
-    navigate("/extract/submit");
-  };
-
-  const handleClose = () => {
-    navigate("/");
-  };
-
-
-
-  //fallback if no valid template is available can edit if needed
-  if (!submissionData) {
-    return <div>No submission Data</div>;
-  }
-  const { file_image, results } = submissionData;
-  const confidenceVal = 75;
-
-  const resultsTable = Object.entries(results).map(([k, v], idx) => {
-    const overrideValue = editedValues[k]
-    return {
-      index: idx,
-      name: k,
-      value: overrideValue || v.text,
-      confidence: overrideValue ? 100 : v.confidence,
-      isError: overrideValue ? false : v.confidence <= confidenceVal,
-      isEdited: !!overrideValue
+    const {file_image, results} = submissionData;
+    const confidenceVal = 75;
+
+    const resultsTable = Object.entries(results).map(([k, v], idx) => {
+        const overrideValue = editedValues[k]
+        return {
+            index: idx,
+            name: k,
+            value: overrideValue || v.text,
+            confidence: overrideValue ? 100 : v.confidence,
+            isError: overrideValue ? false : v.confidence <= confidenceVal,
+            isEdited: !!overrideValue
+        }
+    });
+
+    const calculateOverallConfidence = () => {
+        if (!submissionData) return 0;
+        const results = resultsTable;
+        const totalConfidence = results.reduce((sum, result) => {
+            return sum + result.confidence;
+        }, 0);
+        return (totalConfidence / results.length).toFixed(2);
+    };
+
+    const errorCount = resultsTable.filter(
+        (r) => r.isError
+    ).length;
+    const hasErrors = errorCount > 0;
+    const overallConfidence = calculateOverallConfidence();
+
+
+    const isErrorFormatter = (d) => {
+        return d ? <Icon.Warning className="text-error"/> : "";
+    }
+
+    const labelConfidenceFormatter = (d, _idx, row) => {
+        return row.isEdited ? "Edited" : redTextOnErrorFormatter(`${d.toFixed(0)}%`, row.index, row)
+    }
+
+    const redTextOnErrorFormatter = (d, _idx, row) => {
+        return row.isError ? <span className="text-error">{d}</span> : d;
     }
-  });
-
-  const calculateOverallConfidence = () => {
-    if (!submissionData) return 0;
-    const results = resultsTable;
-    const totalConfidence = results.reduce((sum, result) => {
-      return sum + result.confidence;
-    }, 0);
-    return (totalConfidence / results.length).toFixed(2);
-  };
-
-  const errorCount = resultsTable.filter(
-      (r) => r.isError
-  ).length;
-  const hasErrors = errorCount > 0;
-  const overallConfidence = calculateOverallConfidence();
-
-
-
-  const isErrorFormatter = (d) => {
-    return d ? <Icon.Warning className="text-error" /> : "";
-  }
-
-  const labelConfidenceFormatter = (d, _idx, row) => {
-    return row.isEdited ? "Edited" : redTextOnErrorFormatter(`${d.toFixed(0)}%`, row.index, row)
-  }
-
-  const redTextOnErrorFormatter = (d, _idx, row) => {
-    return row.isError ? <span className="text-error">{d}</span> : d;
-  }
-
-  const editCellFormatter = (d, _idx, row) => {
-    return <EditableText dataTestId={`${row.isError ? 'edit-fix-error' : null}`} text={d} onSave={(value) => {
-      setEditedValues({...editedValues, [row.name]: value})
-    }} textFormatter={(s) => row.isError ? <span className="text-error">{s}</span> : s}/>
-  }
-
-  return (
-      <div className="display-flex flex-column flex-justify-start width-full height-full padding-1 padding-top-2">
-      <ExtractDataHeader
-        onSubmit={handleSubmit}
-        onExit={handleClose}
-        onBack={handleBack}
-        isUploadComplete={!hasErrors}
-      />
-      <Divider margin="0px" />
-      <div className="display-flex flex-justify-center padding-top-4">
-        <ExtractStepper currentStep={ExtractStep.Review} />
-      </div>
-
-      <div className="display-flex flex-justify-between padding-top-4">
-        <div className="width-50">
-          <div className="margin-top-2 margin-bottom-1">
-            <div className="display-flex flex-align-center">
-              <h3>Extracted Data</h3>
+
+    const editCellFormatter = (d, _idx, row) => {
+        return <EditableText dataTestId={`${row.isError ? 'edit-fix-error' : null}`} text={d} onSave={(value) => {
+            setEditedValues({...editedValues, [row.name]: value})
+            setSelectedField(null)
+        }} textFormatter={(s) => row.isError ? <span className="text-error">{s}</span> : s}
+                             onEdit={() => setSelectedField(row.name)}
+                             onCancel={() => setSelectedField(null)}
+        />
+    }
+
+    return (
+        <div className="display-flex flex-column flex-justify-start width-full height-full padding-1 padding-top-2">
+            <ExtractDataHeader
+                onSubmit={handleSubmit}
+                onExit={handleClose}
+                onBack={handleBack}
+                isUploadComplete={!hasErrors}
+            />
+            <Divider margin="0px"/>
+            <div className="display-flex flex-justify-center padding-top-4">
+                <ExtractStepper currentStep={ExtractStep.Review}/>
             </div>
-            <div className="display-flex flex-align-center">
-              <img src={aiIconUrl} alt="AI Icon" aria-hidden={true} />
-              <span className="font-sans-md font-weight-semibold">
+
+            <div className="display-flex flex-justify-between padding-top-4">
+                <div className="width-50">
+                    <div className="margin-top-2 margin-bottom-1">
+                        <div className="display-flex flex-align-center">
+                            <h3>Extracted Data</h3>
+                        </div>
+                        <div className="display-flex flex-align-center">
+                            <img src={aiIconUrl} alt="AI Icon" aria-hidden={true}/>
+                            <span className="font-sans-md font-weight-semibold">
                 <b> Overall confidence score (CS): </b>
                 <span
-                  className={`text-black margin-left-05 ${
-                    Number(overallConfidence) < Number(confidenceVal)
-                      ? "text-error"
-                      : "text-success"
-                  }`}
+                    className={`text-black margin-left-05 ${
+                        Number(overallConfidence) < Number(confidenceVal)
+                            ? "text-error"
+                            : "text-success"
+                    }`}
                 >
                   {overallConfidence}%
                 </span>
               </span>
 
-              <div className="custom-tooltip-container">
-                <Icon.Help aria-hidden={true} />
-                <span className="custom-tooltip-text">
+                            <div className="custom-tooltip-container">
+                                <Icon.Help aria-hidden={true}/>
+                                <span className="custom-tooltip-text">
                   Overall Confidence Score is the average of all Individual
                   Confidence Scores.
                 </span>
-              </div>
-            </div>
-            <p className="font-sans">
-              Review and edit errors before you submit.
-            </p>
-            <div className="display-flex flex-align-center text-error">
-              {hasErrors && (
-                <>
+                            </div>
+                        </div>
+                        <p className="font-sans">
+                            Review and edit errors before you submit.
+                        </p>
+                        <div className="display-flex flex-align-center text-error">
+                            {hasErrors && (
+                                <>
                   <span className="font-sans-sm margin-right-1">
                     Errors: {errorCount}
                   </span>
-                  <Icon.Warning className="text-error" />
-                </>
-              )}
-            </div>
-          </div>
-
-          <SortableTable
-              columns={["name", "value", "isError", "confidence"]}
-              data={resultsTable}
-              sortableBy={["name", "confidence", "value"]}
-              defaultSort={"confidence"}
-              columnNames={{name: "Label", value: "Value", isError: " ", confidence: "Label Confidence"}}
-              formatters={{isError: isErrorFormatter, confidence: labelConfidenceFormatter, value: editCellFormatter}}
-            />
+                                    <Icon.Warning className="text-error"/>
+                                </>
+                            )}
+                        </div>
+                    </div>
 
-        </div>
-        <div className="width-50">
-          <div
-            className="width-full bg-white border-gray-5 border-1px"
-          >
-            <div>
-              {images.map((_, index) => (
-                <Button key={index} onClick={() => handleImageChange(index)} type='button'>
-                    Image {index + 1}
-                </Button>
-              ))}
+                    <SortableTable
+                        columns={["name", "value", "isError", "confidence"]}
+                        data={resultsTable}
+                        sortableBy={["name", "confidence", "value"]}
+                        defaultSort={"confidence"}
+                        columnNames={{name: "Label", value: "Value", isError: " ", confidence: "Label Confidence"}}
+                        formatters={{
+                            isError: isErrorFormatter,
+                            confidence: labelConfidenceFormatter,
+                            value: editCellFormatter
+                        }}
+                    />
+
+                </div>
+                <div className="width-50">
+                    <div
+                        className="width-full height-full bg-white border-gray-5 border-1px"
+                    >
+                        <div>
+                            {images.map((_, index) => (
+                                <Button key={index} onClick={() => handleImageChange(index)} type='button'>
+                                    Image {index + 1}
+                                </Button>
+                            ))}
+                        </div>
+                        {
+                            images.map((image, innerIndex) => (
+                                <svg viewBox="0 0 612 720" width="100vh" height="100vh" key={innerIndex}>
+                                    <image result="photo"
+                                           href={image}
+                                           preserveAspectRatio="xMidYMid slice"
+                                    ></image>
+                                    <polygon
+                                        points={maskShape}
+                                        stroke="blue" fill="none"/>
+
+
+                                </svg>
+
+                            ))
+                        }
+                    </div>
+                </div>
             </div>
-            {
-              images.map((image, innerIndex) => (
-                <img
-                  key={`image-${innerIndex}`}
-                  src={image}
-                  alt={`Document ${innerIndex + 1}`}
-                  style={{
-                    width: "100%",
-                    marginBottom: "20px",
-                    display: index === innerIndex ? "block" : "none",
-                  }}
-                />
-              ))
-            }
-          </div>
         </div>
-      </div>
-    </div>
-  );
+    );
 };
 
 export default ReviewTemplate;
\ No newline at end of file