PDF to Text & Markdown Extractor (URLs → clean text)

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.

PDF Text Extractor — Text & Metadata from URLs

darknezz/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, page count, title, author, dates as JSON. Perfect for AI pipelines, RAG ingestion, document search and content analysis. No API key needed.

PDF Text Extractor – PDF to Text, Metadata & Pages

haketa/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, per-page text, page count, title, author, dates and producer. No browser, no OCR needed for text PDFs. Ideal for AI/RAG, search and document data extraction. Export to JSON, CSV or Excel.

Turn any PDF URL into clean, LLM-ready Markdown + structured JSON (title, metadata, per-page text, page count, word count, token count). Perfect for RAG pipelines, AI agents, and LLM document ingestion.

PDF Text Extractor

parsebird/pdf-text-extractor

Extract text and metadata from PDF files by URL: title, author, page-by-page text, embedded metadata, and optional Markdown conversion.

PDF URL to Markdown, Tables & RAG Extractor

thescrapelab/Apify-PDF-url-scraper

Extract clean Markdown, page text, tables, metadata, summaries, and AI-ready RAG chunks from PDF URLs.

Extract clean, structured text from any PDF by URL, page by page. Returns one row per page with de-hyphenated, whitespace-normalized text. Fast, no setup.

Extract text, metadata, and page-by-page content from PDF files. Provide PDF URLs and get structured JSON with full text, per-page text, page count, author, title, creation date, and more. Export as JSON, CSV, or Excel. No browser or proxy needed.

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.

PDF URLs in, clean text out: full text, per-page text, title/author/page-count metadata. No browser, no OCR overhead — fast digital-PDF extraction. You only pay for PDFs that actually extract; failures are free.