Batch PDF Text Extractor with Page Numbers

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 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.

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 for LLMs: text per page from PDF URLs

steadydata/pdf-text-extractor

Plain text extraction from PDF files by URL, up to 200 files per run: one row per page (or one per file) with the text, page count, title, author, dates, producer and file size, plus whether the page has a text layer at all. Pay per page delivered.

PDF Text Extractor — Text & Metadata from URLs

alaudinburki/pdf-text-extractor

Download PDF files by URL and extract their text and metadata (page count, title, author) — whole-document or per-page. Honest per-URL status. No auth.

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.

Convert public PDFs to page-aware Markdown or plain text for RAG and AI agents, with metadata, links, simple tables, and image-only page flags. Text-layer PDFs only; no OCR for scanned text.

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.

PDF Text Extractor - Bulk PDF to Text & Metadata

santamaria-automations/pdf-extractor

Extract text and metadata from any PDF URL in bulk. Get page content, author, title, creation date, and more. Detects scanned PDFs that need OCR. Perfect for document analysis, research, and compliance.

Extract text and metadata from PDF files by URL, whole or page by page. Detects scanned PDFs that need OCR and does not charge for them. Safe PDF parsing (pdf.js, no script execution), size and time limits, no data in logs.