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textract_python_table_parser.py

textract_python_table_parser.py demonstrates how to export tables into a comma-separated values (CSV) file.

# Copyright 2010-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # This file is licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. A copy of the # License is located at # # http://aws.amazon.com/apache2.0/ # # This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS # OF ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import webbrowser, os import json import boto3 import io from io import BytesIO import sys from pprint import pprint def get_rows_columns_map(table_result, blocks_map): rows = {} for relationship in table_result['Relationships']: if relationship['Type'] == 'CHILD': for child_id in relationship['Ids']: cell = blocks_map[child_id] if cell['BlockType'] == 'CELL': row_index = cell['RowIndex'] col_index = cell['ColumnIndex'] if row_index not in rows: # create new row rows[row_index] = {} # get the text value rows[row_index][col_index] = get_text(cell, blocks_map) return rows def get_text(result, blocks_map): text = '' if 'Relationships' in result: for relationship in result['Relationships']: if relationship['Type'] == 'CHILD': for child_id in relationship['Ids']: word = blocks_map[child_id] if word['BlockType'] == 'WORD': text += word['Text'] + ' ' if word['BlockType'] == 'SELECTION_ELEMENT': if word['SelectionStatus'] =='SELECTED': text += 'X ' return text def get_table_csv_results(file_name): with open(file_name, 'rb') as file: img_test = file.read() bytes_test = bytearray(img_test) print('Image loaded', file_name) # process using image bytes # get the results client = boto3.client('textract') response = client.analyze_document(Document={'Bytes': bytes_test}, FeatureTypes=['TABLES']) # Get the text blocks blocks=response['Blocks'] pprint(blocks) blocks_map = {} table_blocks = [] for block in blocks: blocks_map[block['Id']] = block if block['BlockType'] == "TABLE": table_blocks.append(block) if len(table_blocks) <= 0: return "<b> NO Table FOUND </b>" csv = '' for index, table in enumerate(table_blocks): csv += generate_table_csv(table, blocks_map, index +1) csv += '\n\n' return csv def generate_table_csv(table_result, blocks_map, table_index): rows = get_rows_columns_map(table_result, blocks_map) table_id = 'Table_' + str(table_index) # get cells. csv = 'Table: {0}\n\n'.format(table_id) for row_index, cols in rows.items(): for col_index, text in cols.items(): csv += '{}'.format(text) + "," csv += '\n' csv += '\n\n\n' return csv def main(file_name): table_csv = get_table_csv_results(file_name) output_file = 'output.csv' # replace content with open(output_file, "wt") as fout: fout.write(table_csv) # show the results print('CSV OUTPUT FILE: ', output_file) if __name__ == "__main__": file_name = sys.argv[1] main(file_name)

Sample Details

Service: textract

Last tested: 2019-01-3

Author: reesch (AWS)

Type: full-example

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