Libraries to be used:

• For docx to text conversion use docx2text
• for json conversion use json library
• for storing value in dictionary use defaultdict() from collections

Steps

1. Convert document to string using docx2text
2. Convert string to list of strings , split by new line character and remove junk empty spaces
3. For each element in list split by : , to do manipulations. To remove numerics splice by :2
4. Store each key, value pair in dictionary for each item in list li in a dictionary
5. Add dict object to json_li
6. Call json.dumps(json_li) to create json string

Code

import docx2txt, json, collections
# step 1 get docx text
text = docx2txt.process("F:workspaceStackOverFlowguac.docx")
# convert to list
li = [x for x in text.split( 
 )]
# remove   s i.e Nones
li = list(filter(None, li))
print(li)
# json list
json_li = []
# convert and store all values
for x in li:
    x = x[2:] # remove 1. 2. 3. ...
    y = x.split( , )
    print(y)
    d = collections.defaultdict()
    for m in y:
        z = m.split( : )
        z1 = [x.strip() for x in z]
        d[z1[0]] = z1[1]
    json_li.append(d)
# JSON conversion
print(json.dumps(json_li, indent=4))

output

[ 1.Name: ABC, Place: Maryland, Country: US, PHONE NO.:1234567890 ,  2.Name: ABC, Place: Maryland, Country: US, PHONE NO.:1234567890 ,  3.Name: ABC, Place: Maryland, Country: US, PHONE NO.:1234567890 ]
[ Name: ABC ,   Place: Maryland ,   Country: US ,   PHONE NO.:1234567890 ]
[ Name: ABC ,   Place: Maryland ,   Country: US ,   PHONE NO.:1234567890 ]
[ Name: ABC ,   Place: Maryland ,   Country: US ,   PHONE NO.:1234567890 ]
[
    {
        "Name": "ABC",
        "Place": "Maryland",
        "Country": "US",
        "PHONE NO.": "1234567890"
    },
    {
        "Name": "ABC",
        "Place": "Maryland",
        "Country": "US",
        "PHONE NO.": "1234567890"
    },
    {
        "Name": "ABC",
        "Place": "Maryland",
        "Country": "US",
        "PHONE NO.": "1234567890"
    }
]

Update on doc file

如果有

import textract
text = textract.process("path_to_file")

没有图书馆/图书馆这样做。 最容易的方式是将档案转换成CSV(要么通过拆除所有mas子,然后用 com子取代白色空间,要么尽可能使用方案)。

然后,你可以使用碎片包中的DictReader级,将档案转换成字典,然后使用json模块将其丢弃为 j。

缩略语

import json

from csv import DictReader

COLUMN_NAMES = [ your ,  column ,  names, ,  ... ] 
    #Or the first row will be the column
    #(and the resulting key in the dictionary ) names

jsonCollection = {}
with open("your_csv_file.csv") as csvFile:
    #fieldnames is optional here
    reader = DictReader(csvFile, fieldnames=COLUMN_NAMES)
    for row in reader:
        for colName, rowVal in row.items():
            jsonCollection.setdefault(colName, []).append(rowVal)

json.dumps(jsonCollection) #should get you what you want