diff --git a/components/search/onesearch/onesearch.tsx b/components/search/onesearch/onesearch.tsx
index c30ccdc..5192f99 100644
--- a/components/search/onesearch/onesearch.tsx
+++ b/components/search/onesearch/onesearch.tsx
@@ -135,6 +135,9 @@ export default function () {
                 } else if (s.type === "text") {
                     return (
                         <PlainText key={i} selected={i == selected}>
+                            {s.prompt && (
+                                <span className="text-zinc-700 dark:text-zinc-400">{s.prompt}</span>
+                            )}
                             <p>{s.suggestion}</p>
                             {devMode && (
                                 <span className="text-zinc-700 dark:text-zinc-400 text-sm">
diff --git a/global.d.ts b/global.d.ts
index d575df9..7c05ba5 100644
--- a/global.d.ts
+++ b/global.d.ts
@@ -23,5 +23,9 @@ type suggestionItem = {
     suggestion: string,
     type: string,
     relativeRelevance?: number,
-    relevance: number
+    relevance: number,
+    prompt?: string | React.ReactElement,
+    intention?: string | null,
+    probability?: number,
+    confidence?: number,
 }
\ No newline at end of file
diff --git a/lib/onesearch/NLPResult.ts b/lib/onesearch/NLPResult.ts
index b37c207..6a67a0f 100644
--- a/lib/onesearch/NLPResult.ts
+++ b/lib/onesearch/NLPResult.ts
@@ -7,6 +7,7 @@ export class NLPResult {
         public relevanceBase: number = 2000,
         public confidenceWeight: number = 0.2,
         public type: string = "text",
+        public prompt?: string | React.ReactElement
     ) {
     }
 
diff --git a/lib/onesearch/baseCheck.ts b/lib/onesearch/baseCheck.tsx
similarity index 88%
rename from lib/onesearch/baseCheck.ts
rename to lib/onesearch/baseCheck.tsx
index 97a8103..2e34c8c 100644
--- a/lib/onesearch/baseCheck.ts
+++ b/lib/onesearch/baseCheck.tsx
@@ -1,5 +1,6 @@
 import removeStopwords from "../nlp/stopwords";
 import { NLPResult } from "./NLPResult";
+import {Kbd} from "@nextui-org/react";
 
 interface KeywordsDict {
     [key: string]: number;
@@ -44,7 +45,7 @@ export function base64NLP(str: string) {
         }
     }
     
-    let processedQuery = "";
+    let processedQuery = str;
     if (result.intention==="base64.encode"){
         processedQuery = removeStopwords(str, Object.keys(keywords).concat(Object.keys(intentions)), true).trim();
     } else if (result.intention==="base64.decode") {
@@ -58,6 +59,7 @@ export function base64NLP(str: string) {
         }
     }
     else if (validBase64(processedQuery) && result.intention !== "base64.encode") {
+        console.log("!!");
         result.intention = "base64.decode";
         result.confidence += Math.max(1 / Math.log10(1 / processedQuery.length) + 1, 0);
         result.probability += Math.max(1 / Math.log10(1 / processedQuery.length) + 1, 0);
@@ -66,10 +68,12 @@ export function base64NLP(str: string) {
     switch (result.intention) {
         case "base64.encode":
             result.suggestion = btoa(processedQuery);
+            result.prompt = <span>Base64 Encode (Hit <Kbd keys={["enter"]}></Kbd> to copy):</span>;
             break;
         case "base64.decode":
             if (result.confidence > 0.1)
                 result.suggestion = atob(processedQuery);
+                result.prompt = <span>Base64 Decode (Hit <Kbd keys={["enter"]}></Kbd> to copy):</span>;
             break;
         default:
             break;