Python doc to json

Convert Text file to JSON in Python

In Python, converting a text file to JSON (JavaScript Object Notation) format is a common task for transmitting data between web applications and servers. Luckily, the process can be made easy with the help of the built-in json module. This module allows Python objects to be easily converted into their corresponding JSON objects, which can then be written to a file.

In this article, we will explore the various methods of converting text files to JSON in Python. We will begin by examining the basic process of converting a text file containing a single person’s details to a JSON file. Then, we will move on to more complex scenarios, such as when the text file contains multiple records. We will also discuss different parameters that can be used to improve the readability of the resulting JSON file. By the end of this article, you will have a comprehensive understanding of how to convert text files to JSON format in Python.

See the following table given below to see serializing JSON i.e. the process of encoding JSON.

Python object	JSON object
dict	object
list, tuple	array
str	string
int, long, float	numbers
True	true
False	false
None	null

To handle the data flow in a file, the JSON library in Python uses dump() function to convert the Python objects into their respective JSON object, so it makes easy to write data to files.

Various parameters can be passed to this method. They help in improving the readability of the JSON file. They are :

• dict object : the dictionary which holds the key-value pairs.
• indent : the indentation suitable for readability(a numerical value).
• separator : How the objects must be separated from each other, how a value must be seperated from its key. The symbols like “, “, “:”, “;”, “.” are used
• sort_keys : If set to true, then the keys are sorted in ascending order

Here the idea is to store the contents of the text as key-value pairs in the dictionary and then dump it into a JSON file. A simple example is explained below. The text file contains a single person’s details. The text1.txt file looks like:

Now to convert this to JSON file the code below can be used:

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Convert Word to JSON in Python

In various cases, you have to perform Word to JSON conversion programmatically from within your Python application. For example, to export the data from a Word document and process or transport it in JSON format. In this article, you will learn how to easily convert the text in a Word document to JSON format. Furthermore, you will learn how to load a protected Word document and convert it to JSON programmatically. So let’s proceed to convert Word to JSON in Python.

How to Convert Word to JSON in Python#

To convert a Word document to JSON format, we will perform the following steps:

• Load the Word document.
• Convert it to HTML format.
• Save HTML file in JSON format.

Let’s see how to implement these steps programmatically in Python. For this, we will first install a couple of libraries, as demonstrated in the following section.

Python Libraries to Convert Word to JSON — Free Download#

Aspose.Words for Python is a powerful library that is designed to create and process MS Word documents. We will use this library to export the content of a Word document to HTML. Once we have the HTML content, we will use Aspose.Cells for Python to save it as a JSON file.

You can use the following pip commands to install both of the libraries.

pip install aspose-cells pip install aspose-words 

Convert Word to JSON in Python#

The following are the steps to convert Word to JSON in Python.

• Load the Word document using Document class of Aspose.Words.
• Save Word document as HTML using Document.save() method.
• Load HTML file using Workbook class of Aspose.Cells.
• Convert document to JSON format using Workbook.save() method.

The following code sample shows how to convert a Word document to JSON in Python.

Convert Protected Word to JSON in Python#

You can also load the protected Word documents using their passwords and convert them to JSON format. The following are the steps to convert a protected Word document to JSON in Python.

• Load the Word document using Document class of Aspose.Words.
• Use LoadOptions class of Aspose.Words to specify the password of protected Word document.
• Save Word document as HTML using Document.save() method.
• Load HTML file using Workbook class of Aspose.Cells.
• Convert document to JSON format using Workbook.save() method.

The following code sample shows how to convert a protected Word document to JSON in Python.

Python Word to JSON Converter Libraries — Get a Free License#

You can get a free temporary license to use the libraries without evaluation limitations.

Conclusion#

In this article, you have learned how to convert Word to JSON in Python. Moreover, you have seen how to convert a password-protected Word document to JSON programmatically. Besides, you can visit the documentation of Aspose.Words for Python and Aspose.Cells for Python to explore more about the libraries. In case you would have any questions, feel free to let us know via our forum.

See Also#

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docx2json 0.0.10

Python script that converts text from a .docx file to .json.

Навигация

Ссылки проекта

Статистика

Метаданные

Лицензия: MIT License

Сопровождающие

Классификаторы

Описание проекта

docx2json

Python script that converts text from a .docx file into .json format.

Installation

Usage:

If using as one python script, the user must type the relative or absolute path to the desired .docx file.

If using as a class, the user may choose one of the public methods to convert as desired.

      The script will then convert all text from the .docx to a .json file with the same name, at the same directory as the input file. The structure of the output JSON is as follows:

      Important: In the bold/nonbold values, any two or more consecutive paragraphs belonging to the same type are concatenated with the "\n" separator.

Example of Input and Output:

Input text in .docx:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque placerat luctus euismod. Ut pulvinar fermentum pellentesque. Nullam ultricies feugiat orci, eu pellentesque lorem fringilla eu. In malesuada elit sed velit auctor maximus. Vivamus suscipit risus sem, sit amet faucibus nisi gravida a. Aliquam erat volutpat. Integer blandit vestibulum turpis, eget molestie nisi interdum ut. Quisque ante nisi, elementum in enim sed, suscipit rutrum nisl. Cras vitae odio risus. Fusce at congue metus. Pellentesque pulvinar posuere purus vel tincidunt. Nam suscipit scelerisque cursus. Fusce ultricies imperdiet ante, sit amet mollis nunc pharetra a.

Ut vel arcu dolor. Donec a dolor lacus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum eu nisl mollis, maximus magna in, volutpat arcu. Vivamus a enim non elit egestas auctor ut dapibus velit. Praesent vehicula enim pellentesque tortor mattis semper. Donec gravida, mauris nec euismod bibendum, nisi sem porttitor dui, non dignissim ante neque quis erat.

Quisque imperdiet efficitur diam. Morbi mauris mauris, malesuada ut eros non, accumsan egestas neque. Sed eu risus enim. Etiam pellentesque iaculis turpis a venenatis. Ut in justo et nibh finibus aliquet sit amet in ligula. Phasellus ultrices placerat lectus, ac laoreet turpis finibus non. In consequat augue vel sapien finibus dapibus. Fusce in tincidunt nunc, a auctor orci. Etiam suscipit elit nisl, non molestie elit ultrices in. Sed sollicitudin, nisi quis pretium fringilla, ex tellus mattis eros, iaculis congue lacus quam eget felis. Ut mattis auctor eleifend. Donec malesuada id quam at viverra. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.

Phasellus ultrices neque non sollicitudin dapibus. Nulla facilisi. Nunc efficitur augue quis elit lobortis pretium vel ut diam. Morbi auctor in nisi vitae finibus. Sed nisl odio, varius a enim ultricies, porttitor porttitor urna. Duis varius lorem id odio iaculis, quis feugiat neque ultrices. Nulla pharetra, enim vel volutpat lobortis, lacus risus suscipit sapien, vel posuere nisi quam pretium odio. Sed a rutrum tortor. Aliquam eu ultrices tellus.

Donec ultrices eros quam, vitae maximus nisi commodo sit amet. Etiam tristique lectus metus, sed sollicitudin orci ultricies sit amet. Cras finibus nunc ut gravida tincidunt. Pellentesque facilisis orci nec pharetra fringilla. Ut eu imperdiet risus, eget porta nibh. Phasellus ut nisl libero. Nam sed ex eu nulla egestas pellentesque et congue sem. Duis nec interdum ante, non tincidunt urna. Ut congue tempor dapibus. Suspendisse potenti. Nam sollicitudin est purus, eu dictum urna ultrices et. Curabitur a quam ut ex pretium aliquet eu a purus. Curabitur lacinia mi quis magna commodo, eu sodales purus ullamcorper.

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Convert Text file to JSON in Python

JSON (JavaScript Object Notation) is a data-interchange format that is human-readable text and is used to transmit data, especially between web applications and servers. The JSON files will be like nested dictionaries in Python. To convert a text file into JSON, there is a json module in Python. This module comes in-built with Python standard modules, so there is no need to install it externally. See the following table given below to see serializing JSON i.e. the process of encoding JSON.

Python object	JSON object
dict	object
list, tuple	array
str	string
int, long, float	numbers
True	true
False	false
None	null

To handle the data flow in a file, the JSON library in Python uses dump() function to convert the Python objects into their respective JSON object, so it makes easy to write data to files. Syntax:

Various parameters can be passed to this method. They help in improving the readability of the JSON file. They are :

• dict object : the dictionary which holds the key-value pairs.
• indent : the indentation suitable for readability(a numerical value).
• separator : How the objects must be separated from each other, how a value must be separated from its key. The symbols like “, “, “:”, “;”, “.” are used
• sort_keys : If set to true, then the keys are sorted in ascending order

Here the idea is to store the contents of the text as key-value pairs in the dictionary and then dump it into a JSON file. A simple example is explained below. The text file contains a single person’s details. The text1.txt file looks like: Now to convert this to JSON file the code below can be used:

Python3

When the above code is executed, if a JSON file exists in the given name it is written to it, otherwise, a new file is created in the destination path and the contents are written to it. Output: Note the below line of code:

command, description = line.strip().split(None, 1)

Here split(None, 1) is used to trim off all excess spaces between a key-value pair and ‘1’ denotes split only once in a line. This ensures in a key-value pair, the spaces in the value are not removed and those words are not split. Only the key is separated from its value. How to convert if multiple records are stored in the text file ? Let us consider the following text file which is an employee record containing 4 rows. The idea is to convert each employee’s detail into an intermediate dictionary and append that to one main resultant dictionary. For each intermediate dictionary a unique id is created and that serves as the key. Thus here the employee id and an intermediate dictionary make a key-value pair for the resultant dictionary to be dumped.

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