Questions Regarding Large File Conversion and Configuration — Aspose.Words for Python via .NET

Aspose.Words Product Family
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  1. Can you please confirm the recommended maximum document size (in MB or pages) for reliable DOCX → PDF conversion using Aspose.Words for Python via .NET?

  2. Are there any specific memory or timeout configurations recommended for handling large files?

  3. Can we safely process multiple conversions in parallel threads or processes under the same license instance?

  4. What are the best practices for handling fonts on Ubuntu servers to ensure high-fidelity output?

  5. Does Aspose.Words support streaming or incremental conversion for very large files to optimize memory usage?

  6. Since our backend service is Python-based, and this module runs via .NET, are there any known compatibility or configuration challenges we should be aware of (e.g., environment setup, dependencies, or OS-level limitations)?

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@Kumar1Vikash

  1. The recommended maximum document size for reliable DOCX to PDF conversion using Aspose.Words for Python via .NET is not explicitly defined in the documentation. However, it is generally advisable to keep documents under 100 MB or around 1000 pages for optimal performance. Larger documents may lead to increased processing time and memory usage.

  2. For handling large files, it is recommended to configure memory settings and timeouts based on your server’s capabilities. You can adjust the MemoryStream size and set appropriate timeout values in your application to prevent timeouts during conversion.

  3. You can safely process multiple conversions in parallel threads or processes under the same license instance. However, ensure that you manage resources effectively to avoid memory issues.

  4. To ensure high-fidelity output on Ubuntu servers, install the necessary font packages that your documents may require. Use the apt-get command to install common fonts, ensuring that they are accessible to the Aspose.Words library during conversion.

  5. Aspose.Words does not support streaming or incremental conversion for very large files directly. A recommended approach is to split large documents into smaller sections and convert them individually, then merge the resulting PDFs.

  6. When running Aspose.Words for Python via .NET, ensure that your environment is properly set up with the required dependencies. Compatibility issues may arise if the .NET runtime is not correctly configured or if there are version mismatches between the Python and .NET components. Always refer to the official documentation for guidance on environment setup.

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@Kumar1Vikash

  1. There is no exact recommendations in document size neither in MB not in pages. Conversion time depends on the document size, its complexity and resources available on your side. The following article can be useful for you:
    https://docs.aspose.com/words/net/memory-requirements/

    From my personal point of view, normal MS Word document size is about 100 pages.

  2. For reducing memory usage upon processing extremally large documents, you can try using LoadOptions.temp_folder , SaveOptions.temp_folder and SaveOptions.memory_optimization properties.

  3. Yes, Aspose.Words is multithread safe as long as only one thread works on a document at a time. This is a typical scenario to have one thread working on one document. Different threads can safely work on different documents at the same time.

  4. To build an accurate document layout the fonts are required. If Aspose.Words cannot find the fonts used in the document the fonts are substituted . This might lead into the document layout difference due to difference in font metrics.
    Please see our documentation to learn where Aspose.Words looks for fonts:
    https://docs.aspose.com/words/python-net/specifying-truetype-fonts-location/

    You can check this using WarningCallback:

    doc = aw.Document("C:\\Temp\\in.docx")
# Specify warning callback
warnings = aw.WarningInfoCollection()
doc.warning_callback = warnings
doc.save("C:\\Temp\\out.pdf")

# print font substitution warnings.
for info in warnings:
    if info.warning_type == aw.WarningType.FONT_SUBSTITUTION:

  5. No, Aspose.Words does not support streaming or incremental conversion.

  6. You can find Aspose.Words for Python system requirements in our documentation:
    https://docs.aspose.com/words/python-net/system-requirements/