Turn messy web pages into clean, structured data
Web pages contain valuable information, but raw HTML is filled with navigation, scripts, styling, and other unnecessary content. Processing it can waste development time, AI tokens, and computing resources.
Atlas transforms public web pages into clean, structured and token-efficient Markdown that software can understand and use.
Why Atlas?
Less noise: Remove unnecessary page elements and focus on meaningful content.
Clean structure: Preserve headings, links, metadata, reading order, and content relationships.
Fewer wasted tokens: Convert messy HTML into token-efficient Markdown, reducing unnecessary content sent to AI models.
Lower processing costs: Reduce unnecessary token usage and avoid relying on LLM inference for every page, helping lower costs in AI-powered workflows.
Deterministic processing: Apply consistent, versioned transformations for reliable, predictable outputs.
Machine-readable output: Get typed Atlas IR and structured data that applications can inspect and process.
Developer-friendly API: Integrate Atlas into AI agents, RAG pipelines, research tools, data pipelines, and automation workflows.
Built for developers
Skip the complexity of building and maintaining your own web content processing pipeline. Atlas provides a consistent foundation for turning public web data into useful, structured information.
Start for free and build with Atlas.
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