diff --git a/README.md b/README.md
index 70705d26..e7017b87 100644
--- a/README.md
+++ b/README.md
@@ -69,6 +69,7 @@ More information on contributing and the general code of conduct for discussion
 | Star Pattern                         | [Star Pattern](https://github.com/DhanushNehru/Python-Scripts/tree/master/Star%20Pattern)                                                     | Creates a star pattern pyramid.                                                                                     |    
 | Take a break                         | [Take a break](https://github.com/DhanushNehru/Python-Scripts/tree/master/Take%20A%20Break)                                                   | Python code to take a break while working long hours.                                                               |
 | Text to Image                        | [Text to Image](https://github.com/DhanushNehru/Python-Scripts/tree/master/Text-to-Image)                                                     | A Python script that will take your text and convert it to a JPEG.                                                  |
+| Text Recognition                     | [Text Recognition](https://github.com/DhanushNehru/Python-Scripts/tree/Text-Recognition/Text%20Recognition)        | A Image Text Recognition ML Model to extract text from Images                                                       |
 | Tic Tac Toe 1                        | [Tic Tac Toe](https://github.com/DhanushNehru/Python-Scripts/tree/master/Tic-Tac-Toe)                                                         | A game of Tic Tac Toe.                                                                                              |
 | Tik Tac Toe 2                        | [Tik Tac Toe](https://github.com/DhanushNehru/Python-Scripts/tree/master/TIK-TAC-TOE)                                                         | A game of Tik Tac Toe.                                                                                              |
 | Turtle Art & Patterns                | [Turtle Art](https://github.com/DhanushNehru/Python-Scripts/tree/master/Turtle_Art)                                                           | Scripts to view turtle art also has prompt based ones.                                                              | 
diff --git a/Text Recognition/README.md b/Text Recognition/README.md
new file mode 100644
index 00000000..61220973
--- /dev/null
+++ b/Text Recognition/README.md	
@@ -0,0 +1,4 @@
+# Image Text Recognition ML Model
+
+- To run, you need to install transformers to install type `!pip install transformers` in terminal.
+- load image link into `url`.
\ No newline at end of file
diff --git a/Text Recognition/Text_recognition.ipynb b/Text Recognition/Text_recognition.ipynb
new file mode 100644
index 00000000..60246e3e
--- /dev/null
+++ b/Text Recognition/Text_recognition.ipynb	
@@ -0,0 +1,1269 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "zXO7NrJXV4Lj"
+      },
+      "source": [
+        "Text recognition model"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "6PeT6TJIDuGX",
+        "outputId": "99afa972-4a8a-4a6f-f9fc-dd755a84e675"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Collecting transformers\n",
+            "  Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m56.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
+            "Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n",
+            "  Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m23.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.22.4)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0)\n",
+            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2022.10.31)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.27.1)\n",
+            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
+            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m89.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
+            "  Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m62.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.65.0)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
+            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.16)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.5.7)\n",
+            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.12)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
+            "Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
+            "Successfully installed huggingface-hub-0.16.4 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.31.0\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install transformers"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
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+          ]
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+        "id": "Z0QeIPsyUfR3",
+        "outputId": "88bb74e0-c121-4d19-f644-f36ab1ad2fe5"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "c59dcb651a3b48ffabac5a33026fd891",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading pytorch_model.bin:   0%|          | 0.00/2.23G [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-large-handwritten and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']\n",
+            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "bca97eb758a44d399c811c0c9f4e5642",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)neration_config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "aa678c7d29764157838aca828c50de89",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Downloading (…)rocessor_config.json:   0%|          | 0.00/228 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/models/vit/feature_extraction_vit.py:28: FutureWarning: The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use ViTImageProcessor instead.\n",
+            "  warnings.warn(\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Use a pipeline as a high-level helper\n",
+        "from transformers import pipeline\n",
+        "\n",
+        "pipe = pipeline(\"image-to-text\", model=\"microsoft/trocr-large-handwritten\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "GFHMAbsfU6zR",
+        "outputId": "078721db-6631-412e-c4cb-7003f8822bfc"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n",
+            "Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-large-handwritten and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']\n",
+            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
+            "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1369: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
+            "  warnings.warn(\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "indus tre\n"
+          ]
+        }
+      ],
+      "source": [
+        "from transformers import TrOCRProcessor, VisionEncoderDecoderModel\n",
+        "from PIL import Image\n",
+        "import requests\n",
+        "\n",
+        "# load image from the IAM database\n",
+        "url = 'https://fki.tic.heia-fr.ch/static/img/a01-122-02-00.jpg'\n",
+        "image = Image.open(requests.get(url, stream=True).raw).convert(\"RGB\")\n",
+        "\n",
+        "processor = TrOCRProcessor.from_pretrained('microsoft/trocr-large-handwritten')\n",
+        "model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-handwritten')\n",
+        "pixel_values = processor(images=image, return_tensors=\"pt\").pixel_values\n",
+        "\n",
+        "generated_ids = model.generate(pixel_values)\n",
+        "generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]\n",
+        "\n",
+        "print(generated_text)\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
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