{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ad0cf718",
   "metadata": {},
   "source": [
    "# Inspect recognition confidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "52bd6cd3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T08:10:32.293019Z",
     "iopub.status.busy": "2026-11-01T08:10:32.292937Z",
     "iopub.status.idle": "2026-11-01T08:10:39.898217Z",
     "shell.execute_reply": "2026-11-01T08:10:39.897743Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded DBNet detector (CPU, threads=8)\n",
      "Loaded SVTR recognizer (vocab=185 chars, CPU, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[occular] LM (pure Python): compact_lm.npz (268 MB), unigrams=2010937, alpha=0.5 beta=1.0 beam=100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.996 СУПЕРМАРКЕТ «ВОЛГА-МАРКЕТ»\n",
      "0.996 ул. Белинского, 32\n",
      "0.859 00О «Волга-Ритейл»\n",
      "0.993 ИНН 5260998741\n",
      "0.996 Смена 214\n",
      "0.983 Чек 1073\n",
      "0.996 КАССОВЫЙ ЧЕК / ПРИХОД\n",
      "0.985 Молоко «Летний луг» 3,2% 900 мл\n"
     ]
    }
   ],
   "source": [
    "from occular import ocr_detailed\n",
    "\n",
    "lines = ocr_detailed(\"receipt.jpg\")\n",
    "for line in lines[:8]:\n",
    "    print(round(line[\"confidence\"], 3), line[\"text\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e043265b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T08:10:39.899210Z",
     "iopub.status.busy": "2026-11-01T08:10:39.899063Z",
     "iopub.status.idle": "2026-11-01T08:10:49.500805Z",
     "shell.execute_reply": "2026-11-01T08:10:49.500232Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded SVTR recognizer (vocab=185 chars, CPU, threads=8)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WITH LANGUAGE MODEL — lines 21–22\n",
      "224, 16\n",
      "1,246 ×179,90\n",
      "\n",
      "WITHOUT LANGUAGE MODEL — lines 21–22\n",
      "224,16\n",
      "1,246 x 179,90\n"
     ]
    }
   ],
   "source": [
    "from occular import ocr\n",
    "\n",
    "with_context = ocr(\"receipt.jpg\", lm=True)\n",
    "without_context = ocr(\"receipt.jpg\", lm=False)\n",
    "print(\"WITH LANGUAGE MODEL — lines 21–22\")\n",
    "print(\"\\n\".join(with_context.splitlines()[20:22]))\n",
    "print(\"\\nWITHOUT LANGUAGE MODEL — lines 21–22\")\n",
    "print(\"\\n\".join(without_context.splitlines()[20:22]))"
   ]
  }
 ],
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