diff --git a/server python/ocr.py b/server python/ocr.py
new file mode 100644
index 0000000..8b4e2ef
--- /dev/null
+++ b/server python/ocr.py	
@@ -0,0 +1,144 @@
+from flask import Flask, request, jsonify
+import cv2
+import numpy as np
+import pytesseract
+import matplotlib.pyplot as plt
+from PIL import Image
+import os
+# from google.colab import files
+
+app = Flask(__name__)
+
+
+@app.route('/', methods=['GET'])
+def hello():
+    pesan = request.args.get('pesan')
+    return jsonify({'response': 'Hello, Flask! '+pesan})
+
+
+@app.route('/test-form', methods=['POST'])
+def test_form():
+    nama = request.form['nama']
+    return jsonify({'response': f'Halo, {nama}!'})
+
+
+@app.route('/test-form-image', methods=['POST'])
+def test_form_image():
+    # image = request.form['image']
+    # all_data = {**request.args.to_dict(), **request.form.to_dict(),
+    #             **request.files.to_dict()}
+    # return jsonify(request.files)
+    if 'image' in request.files:
+        uploaded_file = request.files['image']
+        # Melihat informasi tentang file
+        # print(f"File Name: {uploaded_file.filename}")
+        # print(f"Content Type: {uploaded_file.content_type}")
+        if uploaded_file.filename == '':
+            return 'No selected file'
+
+        # Mendapatkan lokasi dari file Python yang sedang berjalan
+        current_directory = os.path.dirname(os.path.abspath(__file__))
+        uploaded_file.save(os.path.join(
+            current_directory, uploaded_file.filename))
+
+        return 'File berhasil diunggah dan disimpan!'
+        # Anda dapat melakukan operasi lain di sini dengan file yang diunggah
+        # Misalnya, menyimpannya ke sistem file dengan:
+        # uploaded_file.save('lokasi_direktori_dan_nama_file_yang_diinginkan')
+        # return 'File berhasil diunggah!'
+    else:
+        return 'Tidak ada file yang diunggah!'
+
+
+@app.route('/process-image', methods=['POST'])
+def process_image():
+    if 'image' in request.files:
+        uploaded_file = request.files['image']
+        if uploaded_file.filename == '':
+            return 'Tidak ada File yang dipih'
+
+        current_directory = os.path.dirname(os.path.abspath(__file__))
+        uploaded_file.save(os.path.join(
+            current_directory, uploaded_file.filename))
+    else:
+        return 'Tidak ada file yang diunggah!'
+
+    try:
+        if uploaded_file is not None:
+            # Lakukan proses pada data gambar, misalnya menggunakan OpenCV
+            # Simpan hasil dalam variabel `result`
+
+            # Membaca gambar dengan OpenCV
+            image = open(uploaded_file.filename, "rb")
+            image_data = image.read()
+            image_array = bytearray(image_data)
+            nparr = np.frombuffer(image_array, np.uint8)
+            img_cv2 = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+
+            # read img
+            gray = cv2.cvtColor(img_cv2, cv2.COLOR_BGR2GRAY)
+
+            # (2) Threshold
+            th, threshed = cv2.threshold(gray, 127, 255, cv2.THRESH_TRUNC)
+
+            # (3) Detect
+            result = pytesseract.image_to_string((threshed), lang="ind")
+
+            hasil = result.split("\n")
+
+            # (5) Normalize
+            for word in result.split("\n"):
+                if "”—" in word:
+                    word = word.replace("”—", ":")
+
+                # normalize NIK
+                if "NIK" in word:
+                    nik_char = word.split()
+                    if "D" in word:
+                        word = word.replace("D", "0")
+                    if "?" in word:
+                        word = word.replace("?", "7")
+
+            # print(word)
+            return jsonify({'status': 'Berhasil', 'result': hasil})
+        else:
+            return jsonify({'error': 'No image uploaded'})
+
+        # return jsonify(word)
+    except Exception as e:
+        return jsonify(error=str(e))
+
+
+if __name__ == '__main__':
+    app.run(host='localhost', port=8888, debug=False)
+
+# image = open("R.jpeg", "rb")
+
+# image_data = image.read()
+# image_array = bytearray(image_data)
+# nparr = np.frombuffer(image_array, np.uint8)
+# img_cv2 = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+
+# # read img
+# gray = cv2.cvtColor(img_cv2, cv2.COLOR_BGR2GRAY)
+
+# # (2) Threshold
+# th, threshed = cv2.threshold(gray, 127, 255, cv2.THRESH_TRUNC)
+
+# # (3) Detect
+# result = pytesseract.image_to_string((threshed), lang="ind")
+# print(result)
+# # (5) Normalize
+# for word in result.split("\n"):
+#     if "”—" in word:
+#         word = word.replace("”—", ":")
+
+#     # normalize NIK
+#     if "NIK" in word:
+#         nik_char = word.split()
+#         if "D" in word:
+#             word = word.replace("D", "0")
+#         if "?" in word:
+#             word = word.replace("?", "7")
+
+# print(word)