Compress long-form content into structured summaries with statistics, citations, and verbatim quotes. Optionally load from a URL or paste content directly. Adjust the compression level to control output length.
For LLMs: Language models have limited context windows. Compressing long source material into structured summaries lets you fit more high-quality information into each prompt — meaning richer, better-grounded AI outputs without hitting token limits.
In Market Brew's Content Booster: This same compression pipeline is applied automatically to Knowledge Base sources before generation. Each source is compressed into a structured summary containing key statistics, citations, and verbatim quotes — which the Content Booster then weaves throughout the generated article to produce factually grounded, citation-rich content.
Use this tool to preview exactly what the Content Booster sees when it reads your knowledge base sources, or to compress any long-form content for use in your own AI workflows.
