Content Core

Example Use Cases

• 1

  Extract and normalize text from web pages, PDFs, Office documents, images (OCR), audio, and video (transcription) into a unified format.

• 2

  Produce AI-cleaned content and contextual summaries (bullet points, executive summaries, or custom prompt styles) for downstream tasks.

• 3

  An MCP-accessible service to integrate content extraction into Claude Desktop, Raycast, macOS Services, Python applications, or Langchain agents.

Description

Content Core extracts and cleans content from URLs, documents, media, images, and archives, then transcribes or summarizes it using LLMs. It provides CLI commands, a Python library, and an MCP server for direct integration with Claude Desktop and other MCP consumers. The platform auto-selects optimal extraction engines, supports advanced PDF/table/formula handling, and offers optional OCR and Docling integration for richer document processing. This enables agents to get structured, high-quality text and contextual summaries from virtually any source.