Extract text, tables, and metadata from PDFs for RAG pipelines.
npx skills add https://github.com/mindmorass/reflex --skill pdf-harvester
Please help me install this Agent Skill. Skill: pdf-harvester Source: https://github.com/mindmorass/reflex/tree/main/plugins/reflex/skills/pdf-harvester Command: npx skills add https://github.com/mindmorass/reflex --skill pdf-harvester
This Skill streamlines the extraction of text, tables, and metadata from PDF documents, enabling fast ingestion into RAG pipelines and searchable archives.
Run a sample PDF through the harvest process to extract text, tables, and metadata, then inspect the resulting data structure.
High-intent search queries and answers about installing and using this skill.
Text and table extraction from PDFs is accomplished by parsing the document structure with pdfplumber or PyMuPDF to recover text, preserve layout, and convert tables to Markdown format. This handles both native PDFs and scanned documents with OCR support via pytesseract.
Scanned PDFs require OCR processing. This Skill applies pytesseract with pdf2image to convert scanned pages to searchable text, recovering content from image-based documents where traditional text extraction fails.
PDF harvesting extracts text, tables, and metadata in structured formats ready for RAG pipeline ingestion. The extracted content becomes searchable and queryable for retrieval-augmented generation workflows.
Academic paper parsing detects document structure—abstracts, sections, references—and extracts metadata. Integration with arxiv enables automated paper fetching, making large-scale research corpus ingestion feasible.
Yes. OCR functionality requires Tesseract OCR installed at the system level, alongside Python libraries pdfplumber, PyMuPDF, pytesseract, and pdf2image. This setup enables both standard and scanned document processing.
Extraction supports native PDFs, scanned documents, research papers, manuals, and reports. Output includes searchable text, table data in Markdown, and extracted metadata suitable for downstream processing.
JansenAnalyticsConvert unsearchable PDFs and images into searchable text and tables.
rysweetExtracts text and tables from PDFs, creates, merges, and handles OCR for scanned documents.
SignmanalStore and query vector embeddings with metadata filtering for RAG applications.
paxlabs-incExtract text, tables, and images from PDFs and scanned documents.
