diff --git a/src/core/operations/OpticalCharacterRecognition.mjs b/src/core/operations/OpticalCharacterRecognition.mjs
index 56a9306e..4be7d41c 100644
--- a/src/core/operations/OpticalCharacterRecognition.mjs
+++ b/src/core/operations/OpticalCharacterRecognition.mjs
@@ -15,6 +15,7 @@ import { isWorkerEnvironment } from "../Utils.mjs";
 import { createWorker } from "tesseract.js";
 
 const OEM_MODES = ["Tesseract only", "LSTM only", "Tesseract/LSTM Combined"];
+const OCR_DEFAULT_WHITELIST = "";
 
 /**
  * Optical Character Recognition operation
@@ -34,6 +35,11 @@ class OpticalCharacterRecognition extends Operation {
         this.inputType = "ArrayBuffer";
         this.outputType = "string";
         this.args = [
+            {
+                name: "Character whitelist (optional)",
+                type: "string",
+                value: OCR_DEFAULT_WHITELIST
+            },
             {
                 name: "Show confidence",
                 type: "boolean",
@@ -81,10 +87,14 @@ class OpticalCharacterRecognition extends Operation {
                 corePath: `${assetDir}tesseract/tesseract-core.wasm.js`,
                 logger: progress => {
                     if (isWorkerEnvironment()) {
-                        self.sendStatusMessage(`Status: ${progress.status}${progress.status === "recognizing text" ? ` - ${(parseFloat(progress.progress)*100).toFixed(2)}%`: "" }`);
+                        self.sendStatusMessage(`Status: ${progress.status}${progress.status === "recognizing text" ? ` - ${(parseFloat(progress.progress) * 100).toFixed(2)}%` : ""}`);
                     }
                 }
             });
+            self.sendStatusMessage("Configuring OCR parameters...");
+            if (whitelist && whitelist.length) {
+                await worker.setParameters({ /* eslint-disable camelcase */ tessedit_char_whitelist: whitelist /* eslint-enable camelcase */ });
+            }
             self.sendStatusMessage("Finding text...");
             const result = await worker.recognize(image);
             let text = result?.data?.text ?? "";
diff --git a/src/core/operations/RenderImage.mjs b/src/core/operations/RenderImage.mjs
index 5dee6d3c..61b57de6 100644
--- a/src/core/operations/RenderImage.mjs
+++ b/src/core/operations/RenderImage.mjs
@@ -8,7 +8,7 @@ import { fromBase64, toBase64 } from "../lib/Base64.mjs";
 import { fromHex } from "../lib/Hex.mjs";
 import Operation from "../Operation.mjs";
 import OperationError from "../errors/OperationError.mjs";
-import Utils from "../Utils.mjs";
+import Utils, { isWorkerEnvironment } from "../Utils.mjs";
 import {isImage} from "../lib/FileType.mjs";
 
 /**
@@ -104,7 +104,12 @@ class RenderImage extends Operation {
         // Add image data to URI
         dataURI += "base64," + toBase64(data);
 
-        return "<img src='" + dataURI + "'>";
+        let html = "<img src='" + dataURI + "'>";
+        if (isWorkerEnvironment()) {
+            const ocrLink = "#recipe=Optical_Character_Recognition('Show confidence',true,'OCR Engine Mode','LSTM only')";
+            html = "<div style=\"position:relative; display:inline-block;\">" + html + "<a href=\"" + ocrLink + "\" title=\"Run OCR\" style=\"position:absolute; top:8px; right:8px; background:rgba(0,0,0,.6); color:#fff; padding:4px 6px; border-radius:4px; text-decoration:none; font-weight:bold;\">✎</a></div>";
+        }
+        return html;
     }
 
 }