Images are an effective tool for conveying complex information. By inserting images into tables, you can enhance data presentation with charts, graphs, diagrams, illustrations, and more. This not only enables readers to easily comprehend the information being presented but also adds visual appeal to your document. In certain cases, you may also come across situations where you need to extract images from tables for various purposes. For example, you might want to reuse an image in a presentation, website, or another document. Extracting images allows you to repurpose them, streamlining your content creation process and increasing efficiency. In this article, we will explore how to insert and extract images in Word tables in Python using Spire.Doc for Python.

• Insert Images into a Word Table in Python
• Extract Images from a Word Table in Python

Install Spire.Doc for Python

This scenario requires Spire.Doc for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip commands.

pip install Spire.Doc

If you are unsure how to install, please refer to this tutorial: How to Install Spire.Doc for Python on Windows

Insert Images into a Word Table in Python

Spire.Doc for Python provides the TableCell.Paragraphs[index].AppendPicture() method to add an image to a specific table cell. The detailed steps are as follows.

• Create an object of the Document class.
• Load a Word document using the Document.LoadFromFile() method.
• Get a specific section in the document using the Document.Sections[index] property.
• Get a specific table in the section using the Section.Tables[index] property.
• Access a specific cell in the table using the Table.Row[index].Cells[index] property.
• Add an image to the cell using the TableCell.Paragraphs[index].AppendPicture() method and set the image width and height.
• Save the result document using the Document.SaveToFile() method.

from spire.doc import *
from spire.doc.common import *

# Create an object of the Document class
doc = Document()
# Load a Word document
doc.LoadFromFile("Table2.docx")

# Get the first section
section = doc.Sections.get_Item(0)

# Get the first table in the section
table = section.Tables.get_Item(0)

# Add an image to the 3rd cell of the second row in the table
cell = table.Rows[1].Cells[2]
picture = cell.Paragraphs[0].AppendPicture("doc.png")
# Set image width and height
picture.Width = 100
picture.Height = 100

# Add an image to the 3rd cell of the 3rd row in the table
cell = table.Rows[2].Cells[2]
picture = cell.Paragraphs[0].AppendPicture("xls.png")
# Set image width and height
picture.Width = 100
picture.Height = 100

# Save the result document
doc.SaveToFile("AddImagesToTable.docx", FileFormat.Docx2013)
doc.Close()

Extract Images from a Word Table in Python

To extract images from a Word table, you need to iterate through all objects in the table and identify the ones of the DocPicture type. Once the DocPicture objects are found, you can access their image bytes using the DocPicture.ImageBytes property, and then save the image bytes to image files. The detailed steps are as follows.

• Create an object of the Document class.
• Load a Word document using the Document.LoadFromFile() method.
• Get a specific section in the document using the Document.Sections[index] property.
• Get a specific table in the section using the Section.Tables[index] property.
• Create a list to store the extracted image data.
• Iterate through all rows in the table.
• Iterate through all cells in each row.
• Iterate through all paragraphs in each cell.
• Iterate through all child objects in each paragraph.
• Check if the current child object is of DocPicture type.
• Get the image bytes of the DocPicture object using the DocPicture.ImageBytes property and append them to the list.
• Save the image bytes in the list to image files.

from spire.doc import *
from spire.doc.common import *

# Create an object of the Document class
doc = Document()
# Load a Word document
doc.LoadFromFile("AddImagesToTable.docx")

# Get the first section
section = doc.Sections.get_Item(0)

# Get the first table in the section
table = section.Tables.get_Item(0)

# Create a list to store image bytes
image_data = []

# Iterate through all rows in the table
for i in range(table.Rows.Count):
    row = table.Rows.get_Item(i)
    # Iterate through all cells in each row
    for j in range(row.Cells.Count):
        cell = row.Cells[j]
        # Iterate through all paragraphs in each cell
        for k in range(cell.Paragraphs.Count):
            paragraph = cell.Paragraphs[k]
            # Iterate through all child objects in each paragraph
            for o in range(paragraph.ChildObjects.Count):
                child_object = paragraph.ChildObjects[o]
                # Check if the current child object is of DocPicture type
                if isinstance(child_object, DocPicture):
                    picture = child_object
                    # Get the image bytes
                    bytes = picture.ImageBytes
                    # Append the image bytes to the list
                    image_data.append(bytes)

# Save the image bytes in the list to image files
for index, item in enumerate(image_data):
    image_Name = f"Images/Image-{index}.png"
    with open(image_Name, 'wb') as imageFile:
        imageFile.write(item)

doc.Close()

Apply for a Temporary License

If you'd like to remove the evaluation message from the generated documents, or to get rid of the function limitations, please request a 30-day trial license for yourself.

Adding or extracting audio and video in a PowerPoint document can greatly enrich the presentation content, enhance audience engagement, and improve comprehension. By adding audio, you can include background music, narration, or sound effects to make the content more lively and emotionally engaging. Inserting videos allows you to showcase dynamic visuals, demonstrate processes, or explain complex concepts, helping the audience to understand the content more intuitively. Extracting audio and video can help preserve important information or resources for reuse when needed. This article will introduce how to use Python and Spire.Presentation for Python to add or extract audio and video in PowerPoint.

• Add Audio in PowerPoint Documents in Python
• Extract Audio from PowerPoint Documents in Python
• Add Video in PowerPoint Documents in Python
• Extract Video from PowerPoint Documents in Python

Install Spire.Presentation for Python

This scenario requires Spire.Presentation for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip command.

pip install Spire.Presentation

If you are unsure how to install, please refer to this tutorial: How to Install Spire.Presentation for Python on Windows

Add Audio in PowerPoint Documents in Python

Spire.Presentation for Python provides the Slide.Shapes.AppendAudioMedia() method, which can be used to add audio files to slides. The specific steps are as follows:

• Create an object of the Presentation class.
• Use the RectangleF.FromLTRB() method to create a rectangle.
• In the shapes collection of the first slide, use the Slide.Shapes.AppendAudioMedia() method to add the audio file to the previously created rectangle.
• Use the Presentation.SaveToFile() method to save the document as a PowerPoint file.

from spire.presentation.common import *
from spire.presentation import *

# Create a presentation object
presentation = Presentation()

# Create an audio rectangle
audioRect = RectangleF.FromLTRB(200, 150, 310, 260)

# Add audio
presentation.Slides[0].Shapes.AppendAudioMedia("data/Music.wav", audioRect)

# Save the presentation to a file
presentation.SaveToFile("AddAudio.pptx", FileFormat.Pptx2016)

# Release resources
presentation.Dispose()

Extract Audio from PowerPoint Documents in Python

To determine if a shape is of audio type, you can check if its type is IAudio. If the shape is of audio type, you can use the IAudio.Data property to retrieve audio data. The specific steps are as follows:

• Create an object of the Presentation class.
• Use the Presentation.LoadFromFile() method to load the PowerPoint document.
• Iterate through the shapes collection on the first slide, checking if each shape is of type IAudio.
• If the shape is of type IAudio, use IAudio.Data property to retrieve the audio data from the audio object.
• Use the AudioData.SaveToFile() method to save the audio data to a file.

from spire.presentation.common import *
from spire.presentation import *

# Create a presentation object
presentation = Presentation()

# Load a presentation from a file
presentation.LoadFromFile("Audio.pptx")

# Initialize a counter
i = 1

# Iterate through shapes in the first slide
for shape in presentation.Slides[0].Shapes:

    # Check if the shape is of audio type
    if isinstance(shape, IAudio):

        # Get the audio data and save it to a file
        AudioData = shape.Data
        AudioData.SaveToFile("ExtractAudio_"+str(i)+".wav")
        i = i + 1

# Release resources
presentation.Dispose()

Add Video in PowerPoint Documents in Python

Using the Slide.Shapes.AppendVideoMedia() method, you can add video files to slides. The specific steps are as follows:

• Create an object of the Presentation class.
• Use the RectangleF.FromLTRB() method to create a rectangle.
• In the shapes collection of the first slide, use the Slide.Shapes.AppendVideoMedia() method to add the video file to the previously created rectangle.
• Use the video.PictureFill.Picture.Url property to set the cover image of the video.
• Use the Presentation.SaveToFile() method to save the document as a PowerPoint file.

from spire.presentation.common import *
from spire.presentation import *

# Create a presentation object
presentation = Presentation()

# Create a video rectangle
videoRect = RectangleF.FromLTRB(200, 150, 450, 350)

# Add video
video = presentation.Slides[0].Shapes.AppendVideoMedia("data/Video.mp4", videoRect)
video.PictureFill.Picture.Url = "data/Video.png"

# Save the presentation to a file
presentation.SaveToFile("AddVideo.pptx", FileFormat.Pptx2016)

# Release resources
presentation.Dispose()

Extract Video from PowerPoint Documents in Python

The video type is IVideo. If the shape is of type IVideo, you can use the IVideo.EmbeddedVideoData property to retrieve video data. The specific steps are as follows:

• Create an object of the Presentation class.
• Use the Presentation.LoadFromFile() method to load the PowerPoint presentation.
• Iterate through the shapes collection on the first slide, checking if each shape is of type IVideo.
• If the shape is of type IVideo, use the IVideo.EmbeddedVideoData property to retrieve the video data from the video object.
• Use the VideoData.SaveToFile() method to save the video data to a file.

from spire.presentation.common import *
from spire.presentation import *

# Create a presentation object
presentation = Presentation()

# Load a presentation from a file
presentation.LoadFromFile("Video.pptx")

# Initialize a counter
i = 1

# Iterate through each slide in the presentation
for slide in presentation.Slides:

    # Iterate through shapes in each slide
    for shape in slide.Shapes:

        # Check if the shape is of video type
        if isinstance(shape, IVideo):

            # Get the video data and save it to a file
            VideoData = shape.EmbeddedVideoData
            VideoData.SaveToFile("ExtractVideo_"+str(i)+".avi")
            i = i + 1

# Release resources
presentation.Dispose()

Apply for a Temporary License

If you'd like to remove the evaluation message from the generated documents, or to get rid of the function limitations, please request a 30-day trial license for yourself.

OLE (Object Linking and Embedding) objects in Word are files or data from other applications that can be inserted into a document. These objects can be edited and updated within Word, allowing you to seamlessly integrate content from various programs, such as Excel spreadsheets, PowerPoint presentations, or even multimedia files like images, audio, or video. In this article, we will introduce how to insert and extract OLE objects in a Word document in Python using Spire.Doc for Python.

• Insert OLE Objects in Word in Python
• Extract OLE Objects from Word in Python

Install Spire.Doc for Python

This scenario requires Spire.Doc for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip command.

pip install Spire.Doc

If you are unsure how to install, please refer to this tutorial: How to Install Spire.Doc for Python on Windows

Insert OLE Objects in Word in Python

Spire.Doc for Python provides the Paragraph.AppendOleObject(pathToFile:str, olePicture:DocPicture, type:OleObjectType) method to embed OLE objects in a Word document. The detailed steps are as follows.

• Create an object of the Document class.
• Load a Word document using the Document.LoadFromFile() method.
• Get a specific section using the Document.Sections.get_Item(index) method.
• Add a paragraph to the section using the Section.AddParagraph() method.
• Create an object of the DocPicture class.
• Load an image that will be used as the icon of the OLE object using the DocPicture.LoadImage() method and then set image width and height.
• Append an OLE object to the paragraph using the Paragraph.AppendOleObject(pathToFile:str, olePicture:DocPicture, type:OleObjectType) method.
• Save the result file using the Document.SaveToFile() method.

The following code example shows how to embed an Excel spreadsheet, a PDF file, and a PowerPoint presentation in a Word document using Spire.Doc for Python:

from spire.doc import *
from spire.doc.common import *

# Create an object of the Document class
doc = Document()
# Load a Word document
doc.LoadFromFile("Example.docx")

# Get the first section
section = doc.Sections.get_Item(0)

# Add a paragraph to the section
para1 = section.AddParagraph()
para1.AppendText("Excel File: ")
# Load an image which will be used as the icon of the OLE object
picture1 = DocPicture(doc)
picture1.LoadImage("Excel-Icon.png")
picture1.Width = 50
picture1.Height = 50
# Append an OLE object (an Excel spreadsheet) to the paragraph 
para1.AppendOleObject("Budget.xlsx", picture1, OleObjectType.ExcelWorksheet)

# Add a paragraph to the section
para2 = section.AddParagraph()
para2.AppendText("PDF File: ")
# Load an image which will be used as the icon of the OLE object
picture2 = DocPicture(doc)
picture2.LoadImage("PDF-Icon.png")
picture2.Width = 50
picture2.Height = 50
# Append an OLE object (a PDF file) to the paragraph 
para2.AppendOleObject("Report.pdf", picture2, OleObjectType.AdobeAcrobatDocument)

# Add a paragraph to the section
para3 = section.AddParagraph()
para3.AppendText("PPT File: ")
# Load an image which will be used as the icon of the OLE object
picture3 = DocPicture(doc)
picture3.LoadImage("PPT-Icon.png")
picture3.Width = 50
picture3.Height = 50
# Append an OLE object (a PowerPoint presentation) to the paragraph 
para3.AppendOleObject("Plan.pptx", picture3, OleObjectType.PowerPointPresentation)

doc.SaveToFile("InsertOLE.docx", FileFormat.Docx2013)
doc.Close()

Extract OLE Objects from Word in Python

To extract OLE objects from a Word document, you first need to locate the OLE objects within the document. Once located, you can determine the file format of each OLE object. Finally, you can save the data of each OLE object to a file in its native file format. The detailed steps are as follows.

• Create an instance of the Document class.
• Load a Word document using the Document.LoadFromFile() method.
• Iterate through all sections of the document.
• Iterate through all child objects in the body of each section.
• Identify the paragraphs within each section.
• Iterate through the child objects in each paragraph.
• Locate the OLE object within the paragraph.
• Determine the file format of the OLE object.
• Save the data of the OLE object to a file in its native file format.

The following code example shows how to extract the embedded Excel spreadsheet, PDF file, and PowerPoint presentation from a Word document using Spire.Doc for Python:

from spire.doc import *
from spire.doc.common import *

# Create an object of the Document class
doc = Document()
# Load a Word document
doc.LoadFromFile("InsertOLE.docx")

i = 1 
# Iterate through all sections of the Word document
for k in range(doc.Sections.Count):
    sec = doc.Sections.get_Item(k)
    # Iterate through all child objects in the body of each section
    for j in range(sec.Body.ChildObjects.Count):
        obj = sec.Body.ChildObjects.get_Item(j)
        # Check if the child object is a paragraph
        if isinstance(obj, Paragraph):
            par = obj if isinstance(obj, Paragraph) else None
            # Iterate through the child objects in the paragraph
            for m in range(par.ChildObjects.Count):
                o = par.ChildObjects.get_Item(m)
                # Check if the child object is an OLE object
                if o.DocumentObjectType == DocumentObjectType.OleObject:
                    ole = o if isinstance(o, DocOleObject) else None
                    s = ole.ObjectType
                    # Check if the OLE object is a PDF file
                    if s.startswith("AcroExch.Document"):
                        ext = ".pdf"
                    # Check if the OLE object is an Excel spreadsheet
                    elif s.startswith("Excel.Sheet"):
                        ext = ".xlsx"
                    # Check if the OLE object is a PowerPoint presentation
                    elif s.startswith("PowerPoint.Show"):
                        ext = ".pptx"
                    else:
                        continue
                    # Write the data of OLE into a file in its native format
                    with open(f"Output/OLE{i}{ext}", "wb") as file:
                            file.write(ole.NativeData)                        
                    i += 1

doc.Close()

Apply for a Temporary License

If you'd like to remove the evaluation message from the generated documents, or to get rid of the function limitations, please request a 30-day trial license for yourself.

In addition to text and images, PDF files can also contain various types of attachments, such as documents, images, audio files, or other multimedia elements. Extracting attachments from PDF files allows users to retrieve and save the embedded content, enabling easy access and manipulation outside of the PDF environment. This process proves especially useful when dealing with PDFs that contain important supplementary materials, such as reports, spreadsheets, or legal documents.

In this article, you will learn how to extract attachments from a PDF document in Python using Spire.PDF for Python.

• Extract Document-Level Attachments from PDF in Python
• Extract Annotation Attachments from PDF in Python

Install Spire.PDF for Python

This scenario requires Spire.PDF for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip command.

pip install Spire.PDF

If you are unsure how to install, please refer to this tutorial: How to Install Spire.PDF for Python on Windows

Prerequisite Knowledge

There are generally two categories of attachments in PDF files: document-level attachments and annotation attachments. Below, you can find a table outlining the disparities between these two types of attachments and how they are represented in Spire.PDF.

Extract Document-Level Attachments from PDF in Python

To retrieve document-level attachments in a PDF document, you can use the PdfDocument.Attachments property. Each attachment has a PdfAttachment.FileName property, which provides the name of the specific attachment, including the file extension. Additionally, the PdfAttachment.Data property allows you to access the attachment's data. To save the attachment to a specific folder, you can utilize the PdfAttachment.Data.Save() method.

The steps to extract document-level attachments from a PDF using Python are as follows.

• Create a PdfDocument object.
• Load a PDF file using PdfDocument.LoadFromFile() method.
• Get a collection of attachments using PdfDocument.Attachments property.
• Iterate through the attachments in the collection.
• Get a specific attachment from the collection, and get the file name and data of the attachment using PdfAttachment.FileName property and PdfAttachment.Data property.
• Save the attachment to a specified folder using PdfAttachment.Data.Save() method.

from spire.pdf import *
from spire.pdf.common import *

# Create a PdfDocument object
doc = PdfDocument()

# Load a PDF file
doc.LoadFromFile("C:\\Users\\Administrator\\Desktop\\Attachments.pdf")

# Get the attachment collection from the document
collection = doc.Attachments

# Loop through the collection
if collection.Count > 0:
    for i in range(collection.Count):

        # Get a specific attachment
        attactment = collection.get_Item(i)

        # Get the file name and data of the attachment
        fileName= attactment.FileName
        data = attactment.Data

        # Save it to a specified folder
        data.Save("Output\\ExtractedFiles\\" + fileName)

doc.Close()

Extract Annotation Attachments from PDF in Python

The Annotations attachment is a page-based element. To retrieve annotations from a specific page, use the PdfPageBase.AnnotationsWidget property. You then need to determine if a particular annotation is an attachment. If it is, save it to the specified folder while retaining its original filename.

The following are the steps to extract annotation attachments from a PDF using Python.

• Create a PdfDocument object.
• Load a PDF file using PdfDocument.LoadFromFile() method.
• Iterate though the pages in the document.
• Get the annotations from a particular page using PdfPageBase.AnnotationsWidget property.
• Iterate though the annotations, and determine if a specific annotation is an attachment annotation.
• If it is, get the file name and data of the annotation using PdfAttachmentAnnotation.FileName property and PdfAttachmentAnnotation.Data property.
• Save the annotated attachment to a specified folder.

from spire.pdf import *
from spire.pdf.common import *

# Create a PdfDocument object
doc = PdfDocument()

# Load a PDF file
doc.LoadFromFile("C:\\Users\\Administrator\\Desktop\\AnnotationAttachment.pdf")

# Iterate through the pages in the document
for i in range(doc.Pages.Count):

    # Get a specific page
    page = doc.Pages.get_Item(i)

    # Get the annotation collection of the page
    annotationCollection = page.AnnotationsWidget

    # If the page has annotations
    if annotationCollection.Count > 0:

        # Iterate through the annotations
        for j in range(annotationCollection.Count):

            # Get a specific annotation
            annotation = annotationCollection.get_Item(j)

            # Determine if the annotation is an attachment annotation
            if isinstance(annotation, PdfAttachmentAnnotationWidget):
              
                # Get the file name and data of the attachment
                fileName = annotation.FileName
                byteData = annotation.Data
                streamMs = Stream(byteData)

                # Save the attachment into a specified folder 
                streamMs.Save("Output\\ExtractedFiles\\" + fileName)

Apply for a Temporary License

If you'd like to remove the evaluation message from the generated documents, or to get rid of the function limitations, please request a 30-day trial license for yourself.