What problem does it solve?
Defuddle removes page clutter like navigation, ads, and repetitive boilerplate so your model can focus on the actual article content with fewer tokens.
Core Features & Use Cases
- Clean markdown extraction: Produces readable markdown from standard web pages for easier summarization and analysis.
- Token-saving inputs: Strips irrelevant sections to reduce the amount of text sent to your LLM.
- Metadata extraction: Pulls useful fields like title, description, and domain when you need structured context (e.g., building study notes or organizing sources).
- Use case: When you paste a long blog URL into your workflow, use Defuddle to extract only the meaningful content so your assistant can summarize the post without wasting context window budget.
Quick Start
Run Defuddle against the target URL with markdown output enabled to get clean content ready for an LLM.