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Duck.ai is an AI chat tool offered by DuckDuckGo, allowing users to choose from different models and ask questions using text, images, or PDFs, while also providing options for voice and image generation. Basic chatting requires no registration, and chat content is handled anonymously in accordance with the company’s policies.

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What is Duck.ai?

Duck.ai brings together models from multiple providers within a single conversational interface, allowing users to select a model and inference mode from the current list to perform knowledge-based Q&A, text summarization, or code discussions. The page also includes options for images, PDF attachments, voice chat, dictation, and image generation; each feature should be used according to the current model’s supported capabilities.

DuckDuckGo removes personal metadata before forwarding it to the model provider and has agreed with the provider not to use the chat for training. Recently, chats are saved locally by default, though users can configure the storage method as needed; information voluntarily provided in inputs still constitutes part of the chat content, and anonymization does not mean that all content bypasses the model service provider.

Ideal for users who want to easily switch between models, organize their data, and engage in everyday conversations. When using, be sure to verify the model’s scope of applicability, available attachments, and functional limitations; critical facts and code should still be double-checked. The free access requires no account, but it should not be equated with a service that has no usage limits. Current features, privacy policies, and subscription details are subject to official guidelines.

Key features

  • Model Selection: Select the currently available model within the same chat interface.

  • Data Query: Entry point for text, images, and PDF attachments.

  • Other interactions: voice, dictation, and image-generation entry points.

  • Privacy settings: anonymous forwarding and local chat saving.

Use cases and audience

Users who want to conveniently leverage different models for everyday Q&A, document organization, and text and code discussions.

  • Organize your problem-solving approach by comparing different models.
  • Ask questions about documents and images.
  • Perform text refinement and code discussion.
Input

Text questions, as well as images, PDFs, or audio files supported by the current functionality.

Output

The response, textual content, or corresponding creative output of the selected model.

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