Automate File Conversion with Python: Audio, Word, PDF, Images

Automate File Conversion with Python: Audio, Word, PDF, Images

Converting Audio to Text with Python .  In the world of  speech processing ,  converting audio files  to text is an interesting challenge. Python provides various libraries that can be used for this task, such as SpeechRecognition, Pydub, and Google Speech API.

Convert Audio to Text with Python

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1. Installing Required Libraries

Before you begin, make sure you have the following libraries installed:

pip install SpeechRecognition pydub

2. Importing and Loading Audio Files

We will use the library speech_recognitionto read audio files:

import speech_recognition as sr
from pydub import AudioSegment

# Mengubah format file jika diperlukan (misalnya dari mp3 ke wav)
audio = AudioSegment.from_mp3("audio.mp3")
audio.export("audio.wav", format="wav")

3. Convert Audio to Text

Once the audio file is in a suitable format, we can use it for speech recognition:

recognizer = sr.Recognizer()
with sr.AudioFile("audio.wav") as source:
audio_data = recognizer.record(source)
text = recognizer.recognize_google(audio_data, language="id-ID")
print("Hasil transkripsi:", text)

4. Handling Errors

Since speech recognition can experience errors, we can handle them with blocks try-except:

try:
text = recognizer.recognize_google(audio_data, language="id-ID")
print("Hasil transkripsi:", text)
except sr.UnknownValueError:
print("Maaf, tidak dapat mengenali audio")
except sr.RequestError:
print("Kesalahan dalam menghubungi API Google")

Using Python to convert audio to text  is fairly simple  with the  right libraries . You can improve its accuracy by using more advanced speech recognition models or other APIs like  IBM Watson  or Whisper AI.

How to Convert Word Files to PDF with Python: A Complete Guide

Converting  Word files  to PDF is  a common need  in various situations, be it for  business , academic,  or personal purposes . PDF ( Portable Document  Format) is a popular file format due to its ability to preserve the layout of the document, making it suitable for sharing and printing. Python, being a versatile programming language, provides various libraries that make this conversion process easier. In this article, we will discuss how to  convert Word files to PDF using Python comprehensively.

Convert Word File to PDF with Python

Why Convert Word to PDF with Python?

  • Automation: Python allows you  to automate  the conversion process,  especially if  you  have a lot of  files  that need to  be converted. 
  • Customization: You can customize the conversion process as needed, such as adding watermarks, setting margins, or merging multiple files. 
  • Efficiency: With Python, you can save time and effort compared to doing manual conversions.

    Steps to Convert Word File to PDF with Python

    1. Install the Required Libraries

    To convert  Word file  to  PDF ,  we will  use python library -docx to read  Word file  and pdfkit or reportlab to create  PDF file . Make sure you have Python installed on your system.

    pip install python-docx pdfkit

    2. Using python-docxto Read Word Files

    First, we need to read the contents of the Word file. The library python-docxallows us to grab text, images, and other elements from a Word document.

    
    from docx import Document
    
    def read_word_file(file_path):
        doc = Document(file_path)
        full_text = []
        for para in doc.paragraphs:
            full_text.append(para.text)
        return '\n'.join(full_text)
    
    # Contoh penggunaan
    file_path = 'contoh.docx'
    text = read_word_file(file_path)
    print(text)
            

    3. Convert Text to PDF withpdfkit

    Once we have the text from the Word file, the next step is to convert it to PDF. pdfkitis a wrapper for wkhtmltopdfthat allows us to create PDF from HTML.

    
    import pdfkit
    
    def convert_to_pdf(text, output_path):
        options = {
            'page-size': 'A4',
            'margin-top': '0.75in',
            'margin-right': '0.75in',
            'margin-bottom': '0.75in',
            'margin-left': '0.75in',
            'encoding': 'UTF-8',
        }
        pdfkit.from_string(text, output_path, options=options)
    
    # Contoh penggunaan
    output_path = 'output.pdf'
    convert_to_pdf(text, output_path)
            

    4. Using reportlabfor More Complex Conversions

    If you need more control over the appearance of the PDF, you can use reportlab. This library allows you to create PDFs from scratch with various elements such as text, images, tables, and more.

    
    from reportlab.lib.pagesizes import letter
    from reportlab.pdfgen import canvas
    
    def create_pdf(text, output_path):
        c = canvas.Canvas(output_path, pagesize=letter)
        width, height = letter
        c.drawString(72, height - 72, text)
        c.save()
    
    # Contoh penggunaan
    output_path = 'output_reportlab.pdf'
    create_pdf(text, output_path)
            

    5. Merge Multiple Word Files into One PDF

    If you have multiple Word files that you want to combine into one PDF, you can do so by merging the text from all the files first, then converting them to PDF.

    
    def merge_word_files_to_pdf(file_paths, output_path):
        full_text = []
        for file_path in file_paths:
            full_text.append(read_word_file(file_path))
        combined_text = '\n'.join(full_text)
        convert_to_pdf(combined_text, output_path)
    
    # Contoh penggunaan
    file_paths = ['file1.docx', 'file2.docx']
    output_path = 'merged_output.pdf'
    merge_word_files_to_pdf(file_paths, output_path)

    Converting  Word files  to PDF with  Python is  a relatively simple yet  very useful process,  especially if  you need to automate or customize  the conversion process . Using libraries like python-docx, pdfkit, and reportlab, you can easily read, modify, and convert Word documents to PDF as per your requirements. 

    By following this guide, you can save time and increase efficiency in managing your documents. Good luck!

    Convert PDF to JPG Using Python Code

    Converting PDF files to JPG image format can be very useful in various situations, such as creating document thumbnails, previewing documents, or processing PDF pages as images. Python , with its various libraries, allows us to perform this conversion easily. In this article, we will discuss the steps to convert PDF to JPG using Python code .

    Convert PDF to JPG Using Python Code

    Step 1: Installing Required Libraries

    For  PDF "> convert  PDF  to  JPG , we  will use  the pdf2image library. This library allows us  to convert PDF  pages   to images. In addition, we also need Poppler as a dependency. Here's how to install it:

    pip install pdf2image

    For Poppler, you can download it from the official website or use a package manager like apt on Linux:

    sudo apt-get install poppler-utils

    Step 2: Writing Python Code

    Once the library is installed, we can start writing Python code to convert PDF to JPG. Here is a simple code example:

    
    from pdf2image import convert_from_path
    
    # Path ke file PDF
    pdf_path = "contoh.pdf"
    
    # Konversi PDF ke JPG
    images = convert_from_path(pdf_path)
    
    # Simpan setiap halaman sebagai gambar JPG
    for i, image in enumerate(images):
    image.save(f"halaman_{i+1}.jpg", "JPEG")
    

    The above code will convert each PDF page to a JPG image and save them as page_1.jpg , page_2.jpg , and so on.

    Step 3: Running the Code

    After writing the code, save the file with a .py extension , for example convert_pdf_to_jpg.py . Then, run the code using the terminal or command prompt:

    python convert_pdf_to_jpg.py

    If there are no errors, you will see the resulting JPG image file in the same directory as the PDF file.

    Converting PDF to  JPG using  Python is very  easy with  the help of the pdf2image library  . With a few lines of code, you can convert entire PDF pages to JPG images. This method is very useful for various purposes, from document processing to previewing. Good luck!