PDF to Text & Chunks — RAG Ready

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.

PDF Text Extractor & Change Monitor

produkdigitalali/pdf-text-extractor-change-monitor

Extract text, page content, metadata, and RAG-ready chunks from PDFs. Monitor content, page, and metadata changes across runs.

PDF to RAG-Ready Dataset

utilityforgelab/pdf-to-rag-ready-dataset

Convert public text-based PDFs into clean, token-aware RAG chunks with Markdown, page references, metadata, stable document IDs, and ready-to-use Apify Dataset output.

Paste webpage and PDF URLs and get Markdown, JSONL chunks, PDF inventory, source warnings, and RAG-ready records.

PDF to Markdown: Tables, OCR & RAG Chunks

plainfeed/pdf-to-markdown

Convert PDFs from URLs into clean Markdown or text with headings, lists and tables. OCR for scanned pages in 12 languages, and output per document, per page, or as chunks ready for embeddings and RAG.

Convert news and announcements into RAG-ready Markdown chunks. Clean JSON for PR, media-monitoring teams and AI agents.

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.

PDF Text Extractor - Text, Metadata & Page Count from PDF URL

ninhothedev/pdf-text-extractor

$0.5/1K 🔥 PDF text extractor API! Extract full text, metadata & page count from any PDF URL — ready for RAG, LLMs & AI pipelines. No API key. Export JSON, CSV, Excel or API in seconds ⚡

RAG Web Extractor — Clean Markdown, HTML & Chunks

junipr/rag-web-extractor

Extract clean website content for RAG and AI search. Crawl pages, remove boilerplate, preserve structure, and export markdown, HTML, text, JSON, and chunks.

Extract clean Markdown text from PDF files. Preserves tables, removes running headers and footers, keeps correct reading order, and splits into RAG-ready chunks that never cut mid-sentence. Built for LLM ingestion, vector databases and AI knowledge bases.