RAG-Ready Extractor – Structure-aware ingestion with semantic scoring
Noise-filtered PDF/web extraction for RAG, but already solved by Jina, Firecrawl.

Yet another AI webpage summarizer when Mercury Reader already exists.
Chrome users who read lots of web articles
Mercury Reader · Reader Mode · Jina AI Reader
Another cool thing is since it's based on LLM, so I could reformat the page into different language such as Chinese.
Enjoy
Noise-filtered PDF/web extraction for RAG, but already solved by Jina, Firecrawl.
Fact-checks claims against live web sources using a tiny 0.8B model on CPU.
Product page returns 404 in a category already solved by Reader mode and extensions.
Free coding agent when Cursor and Continue already dominate the space.
Nice, focused product: site-specific extraction rules (CSS selectors/metadata overrides), edge-first delivery (<500ms p99) and SDKs for Node/Python make it quick to drop into an LLM pipeline and claim 40–60% token savings. That said, HTML→Markdown is a crowded niche (Pandoc, Jina, Firecrawl and dozens of scrapers already exist), so Klovr needs clearer differentiation — e.g. demonstrable extraction accuracy, enterprise-grade rule sharing, or unique model-aware trimming — to move beyond 'handy utility'.
HN summarizer when RSS readers and newsletters already do this.