{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ee136b06",
   "metadata": {},
   "source": [
    "# Going further\n",
    "\n",
    "With Textractor we strive to offer a solution that comes with everything you need to build your workflow. However, we cannot realistically cover every use case and we anticipate that there will be situations when the library falls short of your expectations and there will be a need to custom solutions.\n",
    "\n",
    "To do so, every part of the `Document` object, may it be `Page`, `IdentityDocument`, `ExpenseDocument` contains the the JSON block that was used to instantiate it. \n",
    "\n",
    "\n",
    "## Installation\n",
    "\n",
    "To begin, install the `amazon-textract-textractor` package using pip.\n",
    "\n",
    "`pip install amazon-textract-textractor`\n",
    "\n",
    "There are various sets of dependencies available to tailor your installation to your use case. The base package will have sensible default, but you may want to install the PDF extra dependencies if your workflow uses PDFs with `pip install amazon-textract-textractor[pdfium]`. You can read more on extra dependencies [in the documentation](https://aws-samples.github.io/amazon-textract-textractor/installation.html)\n",
    "\n",
    "## Calling Textract\n",
    "\n",
    "For the sake of diversity, we will use the AnalyzeExpense API for this example, however, the functions and properties showcased here are available on all document types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "623318fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from textractor import Textractor\n",
    "\n",
    "extractor = Textractor(profile_name=\"default\")\n",
    "# This path assumes that you are running the notebook from docs/source/notebooks\n",
    "document = extractor.analyze_expense(file_source=\"../../../tests/fixtures/form.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83514f51",
   "metadata": {},
   "source": [
    "## Response dictionary\n",
    "\n",
    "The response dictionary is the unchanged JSON that was returned by the Textract API, if you save it as a file it will be the same as the JSON you would have gotten from using boto3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e0f7960",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "            {'X': 0.9283214807510376, 'Y': 0.4558001756668091},\n",
       "            {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "          'Confidence': 0.0},\n",
       "         'ValueDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.042113736271858215,\n",
       "            'Height': 0.023080894723534584,\n",
       "            'Left': 0.8867170810699463,\n",
       "            'Top': 0.5465947389602661},\n",
       "           'Polygon': [{'X': 0.8867170810699463, 'Y': 0.5466317534446716},\n",
       "            {'X': 0.9287277460098267, 'Y': 0.5465947389602661},\n",
       "            {'X': 0.9288308024406433, 'Y': 0.5696293115615845},\n",
       "            {'X': 0.8868212699890137, 'Y': 0.569675624370575}]},\n",
       "          'Confidence': 0.0},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "         'ValueDetection': {'Text': 'Water Damage 400',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.8509218096733093,\n",
       "            'Height': 0.023973261937499046,\n",
       "            'Left': 0.07790897786617279,\n",
       "            'Top': 0.5465947389602661},\n",
       "           'Polygon': [{'X': 0.07790897786617279, 'Y': 0.547343909740448},\n",
       "            {'X': 0.9287277460098267, 'Y': 0.5465947389602661},\n",
       "            {'X': 0.9288308024406433, 'Y': 0.5696293115615845},\n",
       "            {'X': 0.07803444564342499, 'Y': 0.5705680251121521}]},\n",
       "          'Confidence': 99.98198699951172},\n",
       "         'PageNumber': 1}]},\n",
       "      {'LineItemExpenseFields': [{'Type': {'Text': 'ITEM', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': 'Carpet Cleaning',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.7368801832199097,\n",
       "            'Height': 0.020497675985097885,\n",
       "            'Left': 0.07741440832614899,\n",
       "            'Top': 0.45580044388771057},\n",
       "           'Polygon': [{'X': 0.07741440832614899, 'Y': 0.4558020830154419},\n",
       "            {'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084},\n",
       "            {'X': 0.07752513885498047, 'Y': 0.47629812359809875}]},\n",
       "          'Confidence': 74.46519470214844},\n",
       "         'ValueDetection': {'Text': 'loose Repair\\nseams',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.7367925047874451,\n",
       "            'Height': 0.023125097155570984,\n",
       "            'Left': 0.07803444564342499,\n",
       "            'Top': 0.5697551965713501},\n",
       "           'Polygon': [{'X': 0.07803444564342499, 'Y': 0.5705680251121521},\n",
       "            {'X': 0.8147251009941101, 'Y': 0.5697551965713501},\n",
       "            {'X': 0.8148269653320312, 'Y': 0.5919098258018494},\n",
       "            {'X': 0.07815499603748322, 'Y': 0.5928803086280823}]},\n",
       "          'Confidence': 99.87442016601562},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '250',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.07219740748405457,\n",
       "            'Height': 0.020351318642497063,\n",
       "            'Left': 0.8142009973526001,\n",
       "            'Top': 0.45580029487609863},\n",
       "           'Polygon': [{'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "          'Confidence': 74.48655700683594},\n",
       "         'ValueDetection': {'Text': '200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.07219623029232025,\n",
       "            'Height': 0.02223413810133934,\n",
       "            'Left': 0.8147251009941101,\n",
       "            'Top': 0.5696756839752197},\n",
       "           'Polygon': [{'X': 0.8147251009941101, 'Y': 0.5697551965713501},\n",
       "            {'X': 0.8868212103843689, 'Y': 0.5696756839752197},\n",
       "            {'X': 0.8869212865829468, 'Y': 0.5918148159980774},\n",
       "            {'X': 0.8148269653320312, 'Y': 0.5919098258018494}]},\n",
       "          'Confidence': 99.98649597167969},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.04210595414042473,\n",
       "            'Height': 0.020337073132395744,\n",
       "            'Left': 0.8863064646720886,\n",
       "            'Top': 0.4558001756668091},\n",
       "           'Polygon': [{'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.9283214807510376, 'Y': 0.4558001756668091},\n",
       "            {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "          'Confidence': 0.0},\n",
       "         'ValueDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.04210859164595604,\n",
       "            'Height': 0.022185510024428368,\n",
       "            'Left': 0.8868212699890137,\n",
       "            'Top': 0.5696293115615845},\n",
       "           'Polygon': [{'X': 0.8868212699890137, 'Y': 0.5696756839752197},\n",
       "            {'X': 0.9288308024406433, 'Y': 0.5696293115615845},\n",
       "            {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "            {'X': 0.8869213461875916, 'Y': 0.5918148159980774}]},\n",
       "          'Confidence': 0.0},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "         'ValueDetection': {'Text': 'loose Repair\\nseams 200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.8508954048156738,\n",
       "            'Height': 0.023250995203852654,\n",
       "            'Left': 0.07803444564342499,\n",
       "            'Top': 0.5696293115615845},\n",
       "           'Polygon': [{'X': 0.07803444564342499, 'Y': 0.5705680251121521},\n",
       "            {'X': 0.9288308024406433, 'Y': 0.5696293115615845},\n",
       "            {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "            {'X': 0.07815499603748322, 'Y': 0.5928803086280823}]},\n",
       "          'Confidence': 99.90242767333984},\n",
       "         'PageNumber': 1}]},\n",
       "      {'LineItemExpenseFields': [{'Type': {'Text': 'ITEM', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': 'Carpet Cleaning',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.7368801832199097,\n",
       "            'Height': 0.020497675985097885,\n",
       "            'Left': 0.07741440832614899,\n",
       "            'Top': 0.45580044388771057},\n",
       "           'Polygon': [{'X': 0.07741440832614899, 'Y': 0.4558020830154419},\n",
       "            {'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084},\n",
       "            {'X': 0.07752513885498047, 'Y': 0.47629812359809875}]},\n",
       "          'Confidence': 74.46519470214844},\n",
       "         'ValueDetection': {'Text': 'Tile cleaning repair',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.7367738485336304,\n",
       "            'Height': 0.02328164130449295,\n",
       "            'Left': 0.07815499603748322,\n",
       "            'Top': 0.5919098258018494},\n",
       "           'Polygon': [{'X': 0.07815499603748322, 'Y': 0.5928803086280823},\n",
       "            {'X': 0.8148269653320312, 'Y': 0.5919098258018494},\n",
       "            {'X': 0.8149288892745972, 'Y': 0.6140632629394531},\n",
       "            {'X': 0.07827553153038025, 'Y': 0.6151914596557617}]},\n",
       "          'Confidence': 99.86579132080078},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '250',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.07219740748405457,\n",
       "            'Height': 0.020351318642497063,\n",
       "            'Left': 0.8142009973526001,\n",
       "            'Top': 0.45580029487609863},\n",
       "           'Polygon': [{'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "          'Confidence': 74.48655700683594},\n",
       "         'ValueDetection': {'Text': '200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.0721944123506546,\n",
       "            'Height': 0.022248445078730583,\n",
       "            'Left': 0.8148269653320312,\n",
       "            'Top': 0.5918148159980774},\n",
       "           'Polygon': [{'X': 0.8148269653320312, 'Y': 0.5919098258018494},\n",
       "            {'X': 0.8869212865829468, 'Y': 0.5918148159980774},\n",
       "            {'X': 0.8870213627815247, 'Y': 0.6139528751373291},\n",
       "            {'X': 0.8149288296699524, 'Y': 0.6140632629394531}]},\n",
       "          'Confidence': 99.98596954345703},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.04210595414042473,\n",
       "            'Height': 0.020337073132395744,\n",
       "            'Left': 0.8863064646720886,\n",
       "            'Top': 0.4558001756668091},\n",
       "           'Polygon': [{'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.9283214807510376, 'Y': 0.4558001756668091},\n",
       "            {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "          'Confidence': 0.0},\n",
       "         'ValueDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.04210752993822098,\n",
       "            'Height': 0.02219337783753872,\n",
       "            'Left': 0.8869213461875916,\n",
       "            'Top': 0.5917595028877258},\n",
       "           'Polygon': [{'X': 0.8869213461875916, 'Y': 0.5918148159980774},\n",
       "            {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "            {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "            {'X': 0.8870214223861694, 'Y': 0.6139528751373291}]},\n",
       "          'Confidence': 0.0},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "         'ValueDetection': {'Text': 'Tile cleaning repair 200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.8508738279342651,\n",
       "            'Height': 0.023431962355971336,\n",
       "            'Left': 0.07815499603748322,\n",
       "            'Top': 0.5917595028877258},\n",
       "           'Polygon': [{'X': 0.07815499603748322, 'Y': 0.5928803086280823},\n",
       "            {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "            {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "            {'X': 0.07827553153038025, 'Y': 0.6151914596557617}]},\n",
       "          'Confidence': 99.89582061767578},\n",
       "         'PageNumber': 1}]},\n",
       "      {'LineItemExpenseFields': [{'Type': {'Text': 'ITEM', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': 'Carpet Cleaning',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.7368801832199097,\n",
       "            'Height': 0.020497675985097885,\n",
       "            'Left': 0.07741440832614899,\n",
       "            'Top': 0.45580044388771057},\n",
       "           'Polygon': [{'X': 0.07741440832614899, 'Y': 0.4558020830154419},\n",
       "            {'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084},\n",
       "            {'X': 0.07752513885498047, 'Y': 0.47629812359809875}]},\n",
       "          'Confidence': 74.46519470214844},\n",
       "         'ValueDetection': {'Text': 'Delivery cost',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.73675936460495,\n",
       "            'Height': 0.024348895996809006,\n",
       "            'Left': 0.07827553153038025,\n",
       "            'Top': 0.6140632629394531},\n",
       "           'Polygon': [{'X': 0.07827553153038025, 'Y': 0.6151914596557617},\n",
       "            {'X': 0.8149288892745972, 'Y': 0.6140632629394531},\n",
       "            {'X': 0.8150349259376526, 'Y': 0.6371198892593384},\n",
       "            {'X': 0.07840099185705185, 'Y': 0.6384121775627136}]},\n",
       "          'Confidence': 99.94113159179688},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '250',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.07219740748405457,\n",
       "            'Height': 0.020351318642497063,\n",
       "            'Left': 0.8142009973526001,\n",
       "            'Top': 0.45580029487609863},\n",
       "           'Polygon': [{'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "            {'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185},\n",
       "            {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "          'Confidence': 74.48655700683594},\n",
       "         'ValueDetection': {'Text': '200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.07219667732715607,\n",
       "            'Height': 0.023167040199041367,\n",
       "            'Left': 0.8149288296699524,\n",
       "            'Top': 0.6139528751373291},\n",
       "           'Polygon': [{'X': 0.8149288296699524, 'Y': 0.6140632629394531},\n",
       "            {'X': 0.8870213627815247, 'Y': 0.6139528751373291},\n",
       "            {'X': 0.887125551700592, 'Y': 0.636993408203125},\n",
       "            {'X': 0.8150349259376526, 'Y': 0.6371198892593384}]},\n",
       "          'Confidence': 99.97767639160156},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "         'LabelDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.04210595414042473,\n",
       "            'Height': 0.020337073132395744,\n",
       "            'Left': 0.8863064646720886,\n",
       "            'Top': 0.4558001756668091},\n",
       "           'Polygon': [{'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "            {'X': 0.9283214807510376, 'Y': 0.4558001756668091},\n",
       "            {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "            {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "          'Confidence': 0.0},\n",
       "         'ValueDetection': {'Text': '',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.042110513895750046,\n",
       "            'Height': 0.02310490794479847,\n",
       "            'Left': 0.8870214223861694,\n",
       "            'Top': 0.6138885021209717},\n",
       "           'Polygon': [{'X': 0.8870214223861694, 'Y': 0.6139528751373291},\n",
       "            {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "            {'X': 0.9291319251060486, 'Y': 0.6369197368621826},\n",
       "            {'X': 0.887125551700592, 'Y': 0.636993408203125}]},\n",
       "          'Confidence': 0.0},\n",
       "         'PageNumber': 1},\n",
       "        {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "         'ValueDetection': {'Text': 'Delivery cost 200',\n",
       "          'Geometry': {'BoundingBox': {'Width': 0.850856363773346,\n",
       "            'Height': 0.02452363818883896,\n",
       "            'Left': 0.07827553153038025,\n",
       "            'Top': 0.6138885021209717},\n",
       "           'Polygon': [{'X': 0.07827553153038025, 'Y': 0.6151914596557617},\n",
       "            {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "            {'X': 0.9291319251060486, 'Y': 0.6369197368621826},\n",
       "            {'X': 0.07840099185705185, 'Y': 0.6384121775627136}]},\n",
       "          'Confidence': 99.95330810546875},\n",
       "         'PageNumber': 1}]}]}]}],\n",
       " 'ResponseMetadata': {'RequestId': '9f34f291-0003-4b28-bb07-7d23aff3c172',\n",
       "  'HTTPStatusCode': 200,\n",
       "  'HTTPHeaders': {'x-amzn-requestid': '9f34f291-0003-4b28-bb07-7d23aff3c172',\n",
       "   'content-type': 'application/x-amz-json-1.1',\n",
       "   'content-length': '47201',\n",
       "   'date': 'Tue, 04 Oct 2022 14:06:16 GMT'},\n",
       "  'RetryAttempts': 0}}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "document.response"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a87f8d4b",
   "metadata": {},
   "source": [
    "## Finer-grain results\n",
    "\n",
    "What if you only want a specific value in the invoice we processed?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6b670ad0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "626-200-4890"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "document.expense_documents[0][\"Phone\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1bdb438b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Text': '626-200-4890',\n",
       " 'Geometry': {'BoundingBox': {'Width': 0.20498627424240112,\n",
       "   'Height': 0.028003590181469917,\n",
       "   'Left': 0.7725487947463989,\n",
       "   'Top': 0.8846393823623657},\n",
       "  'Polygon': [{'X': 0.7725487947463989, 'Y': 0.8854900598526001},\n",
       "   {'X': 0.9774152040481567, 'Y': 0.8846393823623657},\n",
       "   {'X': 0.9775350689888, 'Y': 0.9117385149002075},\n",
       "   {'X': 0.7726749777793884, 'Y': 0.9126429557800293}]},\n",
       " 'Confidence': 90.69705200195312}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "document.expense_documents[0][\"Phone\"].raw_object"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0df5a34c",
   "metadata": {},
   "source": [
    "The `raw_object` property is available on all Textractor objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7b2a4a25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ExpenseIndex': 1,\n",
       " 'SummaryFields': [{'Type': {'Text': 'VENDOR_NAME',\n",
       "    'Confidence': 84.23397827148438},\n",
       "   'ValueDetection': {'Text': 'Royal',\n",
       "    'Geometry': {'BoundingBox': {'Width': 0.33433136343955994,\n",
       "      'Height': 0.1101887971162796,\n",
       "      'Left': 0.16748881340026855,\n",
       "      'Top': 0.10576257109642029},\n",
       "     'Polygon': [{'X': 0.16748881340026855, 'Y': 0.10576257109642029},\n",
       "      {'X': 0.5012815594673157, 'Y': 0.10688383132219315},\n",
       "      {'X': 0.5018202066421509, 'Y': 0.2159513682126999},\n",
       "      {'X': 0.168068990111351, 'Y': 0.2151809185743332}]},\n",
       "    'Confidence': 83.68743133544922},\n",
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       "  {'Type': {'Text': 'OTHER', 'Confidence': 97.5},\n",
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       "          {'X': 0.07815499603748322, 'Y': 0.5928803086280823}]},\n",
       "        'Confidence': 99.87442016601562},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '250',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.07219740748405457,\n",
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       "          {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "        'Confidence': 74.48655700683594},\n",
       "       'ValueDetection': {'Text': '200',\n",
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       "          {'X': 0.8148269653320312, 'Y': 0.5919098258018494}]},\n",
       "        'Confidence': 99.98649597167969},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.04210595414042473,\n",
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       "          {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "        'Confidence': 0.0},\n",
       "       'ValueDetection': {'Text': '',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.04210859164595604,\n",
       "          'Height': 0.022185510024428368,\n",
       "          'Left': 0.8868212699890137,\n",
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       "          {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "          {'X': 0.8869213461875916, 'Y': 0.5918148159980774}]},\n",
       "        'Confidence': 0.0},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "       'ValueDetection': {'Text': 'loose Repair\\nseams 200',\n",
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       "          'Height': 0.023250995203852654,\n",
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       "          {'X': 0.9289298057556152, 'Y': 0.5917595028877258},\n",
       "          {'X': 0.07815499603748322, 'Y': 0.5928803086280823}]},\n",
       "        'Confidence': 99.90242767333984},\n",
       "       'PageNumber': 1}]},\n",
       "    {'LineItemExpenseFields': [{'Type': {'Text': 'ITEM', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': 'Carpet Cleaning',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.7368801832199097,\n",
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       "          {'X': 0.07752513885498047, 'Y': 0.47629812359809875}]},\n",
       "        'Confidence': 74.46519470214844},\n",
       "       'ValueDetection': {'Text': 'Tile cleaning repair',\n",
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       "        'Confidence': 99.86579132080078},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '250',\n",
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       "          {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "        'Confidence': 74.48655700683594},\n",
       "       'ValueDetection': {'Text': '200',\n",
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       "          {'X': 0.8149288296699524, 'Y': 0.6140632629394531}]},\n",
       "        'Confidence': 99.98596954345703},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '',\n",
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       "          {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "          {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "        'Confidence': 0.0},\n",
       "       'ValueDetection': {'Text': '',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.04210752993822098,\n",
       "          'Height': 0.02219337783753872,\n",
       "          'Left': 0.8869213461875916,\n",
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       "          {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "          {'X': 0.8870214223861694, 'Y': 0.6139528751373291}]},\n",
       "        'Confidence': 0.0},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "       'ValueDetection': {'Text': 'Tile cleaning repair 200',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.8508738279342651,\n",
       "          'Height': 0.023431962355971336,\n",
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       "          {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "          {'X': 0.07827553153038025, 'Y': 0.6151914596557617}]},\n",
       "        'Confidence': 99.89582061767578},\n",
       "       'PageNumber': 1}]},\n",
       "    {'LineItemExpenseFields': [{'Type': {'Text': 'ITEM', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': 'Carpet Cleaning',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.7368801832199097,\n",
       "          'Height': 0.020497675985097885,\n",
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       "          {'X': 0.8142945766448975, 'Y': 0.47615161538124084},\n",
       "          {'X': 0.07752513885498047, 'Y': 0.47629812359809875}]},\n",
       "        'Confidence': 74.46519470214844},\n",
       "       'ValueDetection': {'Text': 'Delivery cost',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.73675936460495,\n",
       "          'Height': 0.024348895996809006,\n",
       "          'Left': 0.07827553153038025,\n",
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       "          {'X': 0.8149288892745972, 'Y': 0.6140632629394531},\n",
       "          {'X': 0.8150349259376526, 'Y': 0.6371198892593384},\n",
       "          {'X': 0.07840099185705185, 'Y': 0.6384121775627136}]},\n",
       "        'Confidence': 99.94113159179688},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'PRICE', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '250',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.07219740748405457,\n",
       "          'Height': 0.020351318642497063,\n",
       "          'Left': 0.8142009973526001,\n",
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       "         'Polygon': [{'X': 0.8142009973526001, 'Y': 0.45580044388771057},\n",
       "          {'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "          {'X': 0.886398434638977, 'Y': 0.47613725066185},\n",
       "          {'X': 0.8142945766448975, 'Y': 0.47615161538124084}]},\n",
       "        'Confidence': 74.48655700683594},\n",
       "       'ValueDetection': {'Text': '200',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.07219667732715607,\n",
       "          'Height': 0.023167040199041367,\n",
       "          'Left': 0.8149288296699524,\n",
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       "         'Polygon': [{'X': 0.8149288296699524, 'Y': 0.6140632629394531},\n",
       "          {'X': 0.8870213627815247, 'Y': 0.6139528751373291},\n",
       "          {'X': 0.887125551700592, 'Y': 0.636993408203125},\n",
       "          {'X': 0.8150349259376526, 'Y': 0.6371198892593384}]},\n",
       "        'Confidence': 99.97767639160156},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'OTHER', 'Confidence': 70.0},\n",
       "       'LabelDetection': {'Text': '',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.04210595414042473,\n",
       "          'Height': 0.020337073132395744,\n",
       "          'Left': 0.8863064646720886,\n",
       "          'Top': 0.4558001756668091},\n",
       "         'Polygon': [{'X': 0.8863064646720886, 'Y': 0.45580029487609863},\n",
       "          {'X': 0.9283214807510376, 'Y': 0.4558001756668091},\n",
       "          {'X': 0.9284124374389648, 'Y': 0.4761289060115814},\n",
       "          {'X': 0.886398434638977, 'Y': 0.47613725066185}]},\n",
       "        'Confidence': 0.0},\n",
       "       'ValueDetection': {'Text': '',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.042110513895750046,\n",
       "          'Height': 0.02310490794479847,\n",
       "          'Left': 0.8870214223861694,\n",
       "          'Top': 0.6138885021209717},\n",
       "         'Polygon': [{'X': 0.8870214223861694, 'Y': 0.6139528751373291},\n",
       "          {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "          {'X': 0.9291319251060486, 'Y': 0.6369197368621826},\n",
       "          {'X': 0.887125551700592, 'Y': 0.636993408203125}]},\n",
       "        'Confidence': 0.0},\n",
       "       'PageNumber': 1},\n",
       "      {'Type': {'Text': 'EXPENSE_ROW', 'Confidence': 99.99797058105469},\n",
       "       'ValueDetection': {'Text': 'Delivery cost 200',\n",
       "        'Geometry': {'BoundingBox': {'Width': 0.850856363773346,\n",
       "          'Height': 0.02452363818883896,\n",
       "          'Left': 0.07827553153038025,\n",
       "          'Top': 0.6138885021209717},\n",
       "         'Polygon': [{'X': 0.07827553153038025, 'Y': 0.6151914596557617},\n",
       "          {'X': 0.9290288686752319, 'Y': 0.6138885021209717},\n",
       "          {'X': 0.9291319251060486, 'Y': 0.6369197368621826},\n",
       "          {'X': 0.07840099185705185, 'Y': 0.6384121775627136}]},\n",
       "        'Confidence': 99.95330810546875},\n",
       "       'PageNumber': 1}]}]}]}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "document.expense_documents[0].raw_object"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce8f609e",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "With Textractor, we strived to offer a tool that does most of the work, but also one that gets out of the way when you know better. If you find a Textractor object that does not have a `raw_object` property, open an issue on our official GitHub repository."
   ]
  }
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