EasyOCRDemo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import easyocr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using CPU. Note: This module is much faster with a GPU.\n"
     ]
    }
   ],
   "source": [
    "#download the model\n",
    "reader = easyocr.Reader(['en'], gpu = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=820x531 at 0x1EA4707B5F8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show an image\n",
    "import PIL\n",
    "from PIL import ImageDraw\n",
    "im = PIL.Image.open(\"invoice1.png\")\n",
    "#im = PIL.Image.open(\"france.jfif\")\n",
    "\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[([[52, 71], [324, 71], [324, 104], [52, 104]],\n",
       "  'COMPANY NAME',\n",
       "  0.36122334003448486),\n",
       " ([[593, 97], [675, 97], [675, 111], [593, 111]],\n",
       "  'Street Address',\n",
       "  0.4596695601940155),\n",
       " ([[593, 111], [695, 111], [695, 127], [593, 127]],\n",
       "  'Citj, ST ZIP Code',\n",
       "  0.19944354891777039),\n",
       " ([[591, 129], [629, 129], [629, 143], [591, 143]],\n",
       "  'Email',\n",
       "  0.8885388374328613),\n",
       " ([[593, 145], [651, 145], [651, 159], [593, 159]],\n",
       "  'Phone Na.',\n",
       "  0.29962095618247986),\n",
       " ([[50, 162], [174, 162], [174, 188], [50, 188]],\n",
       "  'customer:',\n",
       "  0.7540062069892883),\n",
       " ([[591, 171], [639, 171], [639, 185], [591, 185]],\n",
       "  'MATIo.',\n",
       "  0.2151806801557541),\n",
       " ([[49, 193], [85, 193], [85, 207], [49, 207]], 'Name', 0.4760741591453552),\n",
       " ([[51, 209], [133, 209], [133, 223], [51, 223]],\n",
       "  'Street Address',\n",
       "  0.5513603091239929),\n",
       " ([[591, 209], [655, 209], [655, 223], [591, 223]],\n",
       "  'Inyoice Io',\n",
       "  0.12354633212089539),\n",
       " ([[51, 223], [153, 223], [153, 239], [51, 239]],\n",
       "  'Citj, ST ZIP Code',\n",
       "  0.1426609456539154),\n",
       " ([[591, 225], [671, 225], [671, 239], [591, 239]],\n",
       "  'Inyoice Date:',\n",
       "  0.15965065360069275),\n",
       " ([[51, 243], [89, 243], [89, 259], [51, 259]], 'E mail', 0.6369486451148987),\n",
       " ([[587, 243], [723, 243], [723, 259], [587, 259]],\n",
       "  'Payment Tems 30 Days',\n",
       "  0.02265792340040207),\n",
       " ([[51, 259], [107, 259], [107, 275], [51, 275]],\n",
       "  'Phone No',\n",
       "  0.514975905418396),\n",
       " ([[432, 280], [732, 280], [732, 312], [432, 312]],\n",
       "  'Commission Invoice',\n",
       "  0.8380829691886902),\n",
       " ([[277, 341], [343, 341], [343, 355], [277, 355]],\n",
       "  'Price lgut',\n",
       "  0.14273236691951752),\n",
       " ([[363, 341], [419, 341], [419, 355], [363, 355]],\n",
       "  'Price with',\n",
       "  0.21088138222694397),\n",
       " ([[439, 341], [503, 341], [503, 355], [439, 355]],\n",
       "  'Total out',\n",
       "  0.08364076912403107),\n",
       " ([[523, 341], [577, 341], [577, 355], [523, 355]],\n",
       "  'Tatal iith',\n",
       "  0.06489323079586029),\n",
       " ([[599, 341], [669, 341], [669, 355], [599, 355]],\n",
       "  'Commissian',\n",
       "  0.366951584815979),\n",
       " ([[51, 349], [79, 349], [79, 363], [51, 363]], 'Date', 0.8695289492607117),\n",
       " ([[97, 349], [161, 349], [161, 365], [97, 365]],\n",
       "  'Description',\n",
       "  0.9351868033409119),\n",
       " ([[189, 349], [211, 349], [211, 363], [189, 363]], 'aty', 0.5821679830551147),\n",
       " ([[685, 349], [755, 349], [755, 363], [685, 363]],\n",
       "  'Net Amgunt',\n",
       "  0.2239948958158493),\n",
       " ([[275, 357], [343, 357], [343, 371], [275, 371]],\n",
       "  'commissian',\n",
       "  0.40111568570137024),\n",
       " ([[357, 357], [425, 357], [425, 371], [357, 371]],\n",
       "  'commissian',\n",
       "  0.4271548390388489),\n",
       " ([[437, 357], [503, 357], [503, 371], [437, 371]],\n",
       "  'cammission',\n",
       "  0.50832599401474),\n",
       " ([[517, 357], [585, 357], [585, 371], [517, 371]],\n",
       "  'cammissian',\n",
       "  0.6366720199584961),\n",
       " ([[611, 357], [657, 357], [657, 371], [611, 371]],\n",
       "  'Amaunt',\n",
       "  0.1828412562608719),\n",
       " ([[49, 385], [89, 385], [89, 399], [49, 399]], '10.6.04', 0.6867178082466125),\n",
       " ([[97, 385], [173, 385], [173, 401], [97, 401]],\n",
       "  'Case ofsoda',\n",
       "  0.5281081199645996),\n",
       " ([[189, 385], [211, 385], [211, 401], [189, 401]],\n",
       "  '100',\n",
       "  0.41390612721443176),\n",
       " ([[233, 385], [255, 385], [255, 401], [233, 401]], '5.0', 0.8797406554222107),\n",
       " ([[311, 385], [345, 385], [345, 401], [311, 401]],\n",
       "  '50.00',\n",
       "  0.5742812156677246),\n",
       " ([[393, 385], [425, 385], [425, 401], [393, 401]],\n",
       "  '52.50',\n",
       "  0.9192739725112915),\n",
       " ([[453, 385], [505, 385], [505, 401], [453, 401]],\n",
       "  '5,000.00',\n",
       "  0.34296903014183044),\n",
       " ([[537, 385], [587, 385], [587, 401], [537, 401]],\n",
       "  '5,250.00',\n",
       "  0.6394738554954529),\n",
       " ([[629, 385], [671, 385], [671, 401], [629, 401]],\n",
       "  '250.00',\n",
       "  0.5577220320701599),\n",
       " ([[707, 385], [757, 385], [757, 401], [707, 401]],\n",
       "  '5,000.00',\n",
       "  0.3970021605491638),\n",
       " ([[231, 411], [257, 411], [257, 427], [231, 427]],\n",
       "  '10.0',\n",
       "  0.6907672882080078),\n",
       " ([[305, 411], [345, 411], [345, 427], [305, 427]],\n",
       "  '1o0.00',\n",
       "  0.08344478905200958),\n",
       " ([[393, 411], [425, 411], [425, 427], [393, 427]],\n",
       "  '0.00',\n",
       "  0.22563765943050385),\n",
       " ([[545, 411], [587, 411], [587, 427], [545, 427]],\n",
       "  '5u0.00',\n",
       "  0.2643260657787323),\n",
       " ([[629, 411], [671, 411], [671, 427], [629, 427]],\n",
       "  '5u0.00',\n",
       "  0.17143455147743225),\n",
       " ([[707, 411], [757, 411], [757, 427], [707, 427]],\n",
       "  '5,000.00',\n",
       "  0.3970021605491638),\n",
       " ([[193, 413], [209, 413], [209, 427], [193, 427]], '5u', 0.2813960313796997),\n",
       " ([[453, 413], [505, 413], [505, 427], [453, 427]],\n",
       "  '5,uu0.00',\n",
       "  0.01534971222281456)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Doing OCR. Get bounding boxes.\n",
    "bounds = reader.readtext('invoice1.png')\n",
    "bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=820x531 at 0x1EA4707B5F8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Draw bounding boxes\n",
    "def draw_boxes(image, bounds, color='yellow', width=2):\n",
    "    draw = ImageDraw.Draw(image)\n",
    "    for bound in bounds:\n",
    "        p0, p1, p2, p3 = bound[0]\n",
    "        draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)\n",
    "    return image\n",
    "\n",
    "draw_boxes(im, bounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(bounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COMPANY NAME\n",
      "Street Address\n",
      "Citj, ST ZIP Code\n",
      "Email\n",
      "Phone Na.\n",
      "customer:\n",
      "MATIo.\n",
      "Name\n",
      "Street Address\n",
      "Inyoice Io\n",
      "Citj, ST ZIP Code\n",
      "Inyoice Date:\n",
      "E mail\n",
      "Payment Tems 30 Days\n",
      "Phone No\n",
      "Commission Invoice\n",
      "Price lgut\n",
      "Price with\n",
      "Total out\n",
      "Tatal iith\n",
      "Commissian\n",
      "Date\n",
      "Description\n",
      "aty\n",
      "Net Amgunt\n",
      "commissian\n",
      "commissian\n",
      "cammission\n",
      "cammissian\n",
      "Amaunt\n",
      "10.6.04\n",
      "Case ofsoda\n",
      "100\n",
      "5.0\n",
      "50.00\n",
      "52.50\n",
      "5,000.00\n",
      "5,250.00\n",
      "250.00\n",
      "5,000.00\n",
      "10.0\n",
      "1o0.00\n",
      "0.00\n",
      "5u0.00\n",
      "5u0.00\n",
      "5,000.00\n",
      "5u\n",
      "5,uu0.00\n"
     ]
    }
   ],
   "source": [
    "for i in bounds:\n",
    "    print(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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