PDF Text and Markdown Extractor

PDF Text Extractor — Markdown, OCR & Metadata

memo23/pdf-text-extractor

Turn any PDF URL into clean data: full text, LLM-ready Markdown, per-page content, and metadata. Reads scanned PDFs via OCR (23 languages), supports page ranges, and processes files in parallel. Export JSON, CSV, or Excel. Ideal for RAG pipelines, invoices, and research.

PDF Text Extractor - Markdown, Tables & RAG Chunks

readable_slash/pdf-text-extractor-structured

Extract text from PDF to clean Markdown with real tables, headings and lists. Bulk PDF to text conversion for RAG, LLM and vector database ingestion, with optional context-aware chunking. Detects scanned PDFs, handles encrypted files and broken URLs. Pay only for documents extracted.

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Extract clean text or Markdown from PDF files by URL. Reading-order text, layout mode for tables/columns, per-page splitting, page ranges, metadata (pages, title, author). Fast Poppler engine, pay per document. Ideal for RAG/LLM ingestion and document monitoring.

PDF Text & Table Extractor — Markdown, OCR

acotr_moonie/pdf-text-extractor

Text, markdown, ruled tables and RAG chunks from PDF URLs, one item per page or per document, with optional Tesseract OCR for scanned pages. Built on PDFium: 140 pages in about a second. Charged per page delivered; document summaries, errors and skipped pages are free.

Extract text, speaker notes, and slide structure from PowerPoint (.pptx) files at any URL — including Google Drive and Dropbox links. Batch up to 50 files. Perfect for LLM/RAG pipelines. No API key. $0.02/file + $0.001/slide.

PDF & Document to Markdown - PDF, DOCX & HTML for LLMs

entranced_gelato/ai-document-reader

Turn any PDF, DOCX, TXT, or HTML document into clean, LLM-ready text + Markdown with metadata (title, pages, word count) and an optional AI summary. The document counterpart to a web reader — built for RAG ingestion, document Q&A, and AI agents (LangChain, LlamaIndex). Fast, structured, single-call.

PDF Text Extractor - OCR, Markdown & JSON

datascraperes/pdf-text-extractor

Extract clean text, Markdown and JSON from public PDF URLs, including scanned pages with OCR for research, automation and AI workflows.

Bulk Website Screenshot & PDF Generator

datascraperes/website-screenshot-pdf

Capture full-page website screenshots or PDFs from up to 1,000 public URLs. Normalize URLs, wait for dynamic content, hide popups, and pay $1 per 1,000 processed URLs.

Extract text from PDF URLs at scale: full text, per-page text, real structured tables (rows and columns as JSON, not text lines), document metadata and clean Markdown for LLM/RAG. The table extraction generic PDF text extractors don't have. No credentials needed.

Convert PDF, DOCX, PPTX, XLSX, HTML and images to clean Markdown and structured JSON using IBM's open-source Docling library. Preserves headings, tables, and page structure. RAG-ready chunked output mode for LLM pipelines.