Supported AI Models

Aspose.Words now leverages advanced AI models to enhance document processing and analysis. With the Aspose.Words.AI namespace, developers can access AI‑powered features such as document summarization and analysis, document translation, and grammar checking by integrating generative language models from industry leaders.

Supported Model Types

Aspose.Words library currently supports integration with:

• OpenAI,
• Google,
• and Claude models' families.

These models bring powerful capabilities for working with documents. By enabling seamless interaction with these AI tools, Aspose.Words simplifies complex tasks and enhances productivity for developers.

The full list of supported model types is listed in the AiModelType enumeration.

You can create a model instance using the create method of the AiModel class.

The following code example shows how to create a new instance of AiModel class.

def create(self, model_type: aspose.words.ai.AiModelType):
    ...

For more information, check the aspose.words.ai API documentation.

---

FAQ

1. Q: Which AI model families are currently supported by Aspose.Words for Python?
   A: Aspose.Words supports models from OpenAI, Google (Gemini), and Anthropic Claude families. The specific models are exposed through the AiModelType enumeration, such as OpenAI_Gpt4Turbo, Google_Gemini1_5Flash, and Claude_Instant.

2. Q: How do I create an AiModel instance for a particular model type?
   A: Use the static create method of the AiModel class and pass a value from the AiModelType enumeration. Example:

   import aspose.words.ai as ai
   
   model = ai.AiModel.create(ai.AiModelType.OpenAI_Gpt4Turbo)
   

3. Q: Can I retrieve the list of all supported model types programmatically?
   A: Yes. The AiModelType enumeration provides all supported values. You can iterate over it using Python’s dir or Enum utilities:

   import aspose.words.ai as ai
   from enum import Enum
   
   for model_type in ai.AiModelType:
       print(model_type.name)
   

4. Q: Is it possible to switch the AI model used for summarization at runtime?
   A: Absolutely. Create a new AiModel with the desired AiModelType and pass it to the summarization API each time you call it. The previous model instance does not need to be disposed.

5. Q: Are the latest OpenAI models such as GPT‑4o and GPT‑4 Turbo supported?
   A: Yes. They are represented in the enumeration as OpenAI_Gpt4o and OpenAI_Gpt4Turbo. Use these values when creating the AiModel to access the newest capabilities.