kreuzberg
Skills and commands for extracting clean text, tables, metadata and keywords from PDFs, scanned images and spreadsheets. Covers OCR, batch processing many files at once, and chunking text for LLM context windows or RAG.

Skills and commands for extracting clean text, tables, metadata and keywords from PDFs, scanned images and spreadsheets. Covers OCR, batch processing many files at once, and chunking text for LLM context windows or RAG.
Extract text, tables, metadata, and images from 107 document formats (PDF, Office, images, HTML, email, archives, academic) using…
Use when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery.…
Use when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap,…
Use when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating…
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection,…
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends,…
Use when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer…
Extract a document locally with Xberg
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