{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "788fb2a5",
   "metadata": {},
   "source": [
    "# Read Ukrainian text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "55d19546",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T06:45:07.615690Z",
     "iopub.status.busy": "2026-11-01T06:45:07.611396Z",
     "iopub.status.idle": "2026-11-01T06:45:08.287412Z",
     "shell.execute_reply": "2026-11-01T06:45:08.278434Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(8, 3))\n",
    "plt.imshow(plt.imread(\"ukrainian.png\"))\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aab80227",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T06:45:08.289135Z",
     "iopub.status.busy": "2026-11-01T06:45:08.288897Z",
     "iopub.status.idle": "2026-11-01T06:45:23.098300Z",
     "shell.execute_reply": "2026-11-01T06:45:23.097417Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded DBNet detector (CPU, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded SVTR recognizer (vocab=609 chars, CPU, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[occular] LM (pure Python): compact_lm.npz (1 MB), unigrams=16411, alpha=0.16 beta=1.0 beam=100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Заява\n",
      "Прошу надати відпустку з 12 березня.\n",
      "Дата: 10.03.2026\n"
     ]
    }
   ],
   "source": [
    "from occular import ocr\n",
    "\n",
    "text = ocr(\"ukrainian.png\", languages=[\"uk\"])\n",
    "print(text)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}