Production grade Document AI workflows run on Tensorlake
Agent skill for pixel-grounded chart data extraction
doc-textify: offline, CPU-only PDF/image to Markdown & LLM-ready text converter. OCR with CJK normalization, layout recovery, two-column reading order, table/chart/formula extraction, RAG-ready chunking — no vision LLMs, no GPU, no cloud.
CUDA-accelerated PDF -> Markdown/HTML converter using Docling + IBM Granite Vision chart extraction
Python library for extracting content from PowerPoint files including embedded charts and SmartArt. Built for RAG and document processing pipelines.
A complete end-to-end pipeline for extracting structured data from chart and graph images
Extract charts, figures, and tables from academic PDFs for AI agent analysis
Local PDF document intelligence on Apple Silicon: converts multi-page PDFs to Markdown and JSON and extracts charts, tables and schema-driven key-values with IBM Granite Docling and Granite Vision on MLX.
Converters where figures survive. DOCX/XLSX to Markdown via native OOXML chart data: real numbers, OCR/VLM are only optional. CLI, MCP server, Docker image, and .mcpb bundle included.
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