Use Python for CDR to EMF Images Conversion
Create Python Apps to Convert CDR to EMF Images and Photos via Server APIs
Aspose.Imaging for Python
Overview
How to Convert CDR to EMF Images and Photos with Python
Image files conversion from one format to another is a common task encountered by every graphic designer. The efficiency and excellence in converting files not only impact the speed of completion but also play a crucial role in assessing the overall work quality. Concerning the images sources, they frequently necessitate transformation into alternative formats more suited for printing or online distribution. An image crafted in a graphic editor is likely to be in vector format. In such instances, for website publication, it must undergo rasterization and be saved in a raster format. You have the option to convert the image in an uncompressed format for superior quality or save it to a lossless compressed format to minimize the file size. For scenarios where file size reduction is obligatory, like in website applications, there’s the possibility of conversion to lossy compression formats. Specialized data compression algorithms for images can significantly diminish file size while upholding acceptable image quality, ensuring swift image loading. To convert images and photos from CDR to EMF, we will employ Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.
The system command line
>> pip install aspose-imaging-python-net
Steps to Convert CDR to EMF via Python
Developers can easily load & convert CDR files to EMF in just a few lines of code.
- load CDR file with Image.Load method;
- create & set the instance of required subclass of ImageOptionsBase (e.g. BmpOptions, PngOptions, etc.);
- call the Image.Save method;
- pass file path with EMF extension & object of ImageOptionsBase class.
System Requirements
Before running the conversion example code, make sure that you have the following prerequisites:
- Operating system: Windows or Linux.
- Development environment: Supports .NET Core 7 and higher, such as Microsoft Visual Studio.
Free App to Convert CDR to EMF
- Select or drag and drop CDR image
- Choose format and click Convert button
- Click Download button to download EMF image
Check our live demos to convert CDR to EMF
Convert CDR to EMF - Python
| from aspose.imaging import * | |
| from aspose.imaging.fileformats.tiff.enums import * | |
| from aspose.imaging.fileformats.jpeg2000 import * | |
| from aspose.imaging.fileformats.png import * | |
| from aspose.imaging.imageoptions import * | |
| from aspose.pycore import is_assignable | |
| import os | |
| if 'TEMPLATE_DIR' in os.environ: | |
| templates_folder = os.environ['TEMPLATE_DIR'] | |
| else: | |
| templates_folder = r"C:\Users\USER\Downloads\templates" | |
| delete_output = 'SAVE_OUTPUT' not in os.environ | |
| data_dir = templates_folder | |
| def process_convertion(): | |
| import_formats, export_formats = get_available_image_formats() | |
| for import_key, import_value in import_formats.items(): | |
| format_ext = import_key | |
| input_file = os.path.join(templates_folder, f"template.{format_ext}") | |
| if not os.path.exists(input_file): | |
| continue | |
| for export_key, export_value in export_formats.items(): | |
| output_file = os.path.join(templates_folder, f"convert-{format_ext}-to-{export_key}.{export_key}") | |
| print("Processing conversion:" + output_file) | |
| with Image.load(input_file) as image: | |
| export_options = export_value.clone() | |
| if is_assignable(image, VectorImage): | |
| rasterization_options = import_value | |
| rasterization_options.page_width = float(image.width) | |
| rasterization_options.page_height = float(image.height) | |
| export_options.vector_rasterization_options = rasterization_options | |
| image.save(output_file, export_options) | |
| if delete_output: | |
| os.remove(output_file) | |
| def get_available_image_formats(): | |
| obj_init = Jpeg2000Options() | |
| obj_init.codec = Jpeg2000Codec.J2K | |
| obj_init2 = Jpeg2000Options() | |
| obj_init2.codec = Jpeg2000Codec.JP2 | |
| obj_init3 = PngOptions() | |
| obj_init3.color_type = PngColorType.TRUECOLOR_WITH_ALPHA | |
| obj_init4 = {} | |
| obj_init4["bmp"] = BmpOptions() | |
| obj_init4["gif"] = GifOptions() | |
| obj_init4["dicom"] = DicomOptions() | |
| obj_init4["jpg"] = JpegOptions() | |
| obj_init4["jpeg"] = JpegOptions() | |
| obj_init4["jpeg2000"] = Jpeg2000Options() | |
| obj_init4["j2k"] = obj_init | |
| obj_init4["jp2"] = obj_init2 | |
| obj_init4["png"] = obj_init3 | |
| obj_init4["apng"] = ApngOptions() | |
| obj_init4["tiff"] = TiffOptions(TiffExpectedFormat.DEFAULT) | |
| obj_init4["tif"] = TiffOptions(TiffExpectedFormat.DEFAULT) | |
| obj_init4["tga"] = TgaOptions() | |
| obj_init4["webp"] = WebPOptions() | |
| obj_init4["ico"] = IcoOptions(FileFormat.PNG, 24) | |
| raster_formats_that_support_export_and_import = obj_init4 | |
| obj_init5 = EmfOptions() | |
| obj_init5.compress = True | |
| obj_init6 = WmfOptions() | |
| obj_init6.compress = True | |
| obj_init7 = SvgOptions() | |
| obj_init7.compress = True | |
| obj_init8 = {} | |
| obj_init8["emf"] = (EmfOptions(), EmfRasterizationOptions()) | |
| obj_init8["svg"] = (SvgOptions(), SvgRasterizationOptions()) | |
| obj_init8["wmf"] = (WmfOptions(), WmfRasterizationOptions()) | |
| obj_init8["emz"] = (obj_init5, EmfRasterizationOptions()) | |
| obj_init8["wmz"] = (obj_init6, WmfRasterizationOptions()) | |
| obj_init8["svgz"] = (obj_init7, SvgRasterizationOptions()) | |
| vector_formats_that_support_export_and_import = obj_init8 | |
| obj_init9 = DxfOptions() | |
| obj_init9.text_as_lines = True | |
| obj_init9.convert_text_beziers = True | |
| obj_init10 = {} | |
| obj_init10["psd"] = PsdOptions() | |
| obj_init10["dxf"] = obj_init9 | |
| obj_init10["pdf"] = PdfOptions() | |
| obj_init10["html"] = Html5CanvasOptions() | |
| formats_only_for_export = obj_init10 | |
| obj_init11 = {} | |
| obj_init11["djvu"] = None | |
| obj_init11["dng"] = None | |
| obj_init11["dib"] = None | |
| formats_only_for_import = obj_init11 | |
| obj_init12 = {} | |
| obj_init12["eps"] = EpsRasterizationOptions() | |
| obj_init12["cdr"] = CdrRasterizationOptions() | |
| obj_init12["cmx"] = CmxRasterizationOptions() | |
| obj_init12["otg"] = OtgRasterizationOptions() | |
| obj_init12["odg"] = OdgRasterizationOptions() | |
| vector_formats_only_for_import = obj_init12 | |
| # Get total set of formats to what we can export images | |
| export_formats = {k: v[0] for k, v in vector_formats_that_support_export_and_import.items()} | |
| export_formats.update(formats_only_for_export) | |
| export_formats.update(raster_formats_that_support_export_and_import) | |
| # Get total set of formats that can be loaded | |
| import_formats = {k : VectorRasterizationOptions() for k in formats_only_for_import} | |
| import_formats.update(vector_formats_only_for_import) | |
| import_formats.update({k : v[1] for k, v in vector_formats_that_support_export_and_import.items()}) | |
| return import_formats, export_formats | |
| # run | |
| process_convertion() |
CDR What is CDR File Format
A CDR file is a vector drawing image file that is natively created with CorelDRAW for storing digital image encoded and compressed. Such a drawing file contains text, lines, shapes, images, colours and effects for vector representation of image contents. CDR files can be opened with CorelDRAW as the primary application and can also be converted to other formats such as PDF, JPG, PNG, BMP and AI. It can be used for representation of various graphics data like brochures, tabloids, envelopes, and postcards. Besides CorelDRAW, other Corel products such as Corel Paintshop Pro and CorelDRAW Graphics suite can also open the CDR file formats.
Read More | CDREMF What is EMF File Format
Enhanced metafile format (EMF) stores graphical images device-independently. Metafiles of EMF comprises of variable-length records in chronological order that can render the stored image after parsing on any output device. These variable-length records can be definitions of enclosed objects, commands for drawing, and graphics properties critical to render the image accurately. When a device opens an EMF metafile using its own graphics environment, the proportions, dimensions, colors and other graphic properties of original image remains same regardless of the opening device platform.
Read More | EMFOther Supported Conversions
Using Python, one can easily convert different formats including: