Pricing

$5.00 / 1,000 processed documents

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

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.

Pricing

$5.00 / 1,000 processed documents

Rating

0.0

(0)

Developer

Arthur

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

PDF to Text & Markdown Extractor — turn PDF URLs into clean text

Give it a list of PDF links and get back clean text or Markdown per document (or per page), plus metadata (page count, title, author, character count). Built on Poppler (pdftotext), the industry-standard PDF engine — fast, accurate reading order, optional layout mode that preserves columns and tables.

Why this Actor

Simple: paste URLs, run, download JSON/CSV/Excel — no code.
Three output modes: text (reading order), layout (keeps spacing of columns/tables), markdown (headings and bullets guessed from the document structure — ideal for LLM/RAG pipelines).
Per-page splitting for chunking, and page ranges to skip covers or appendices.
Cheap and predictable: pay per document, no minimum.

Use cases

RAG/LLM ingestion, contract and report analysis, invoice/receipt text capture (digital PDFs), academic paper collection, tender/government documents, monitoring public PDFs on a schedule.

Input

Field	Description
`urls`	List of direct PDF links
`format`	`text` · `layout` · `markdown` (default)
`perPage`	One item per page instead of per document
`firstPage` / `lastPage`	Optional page range (1-based)
`maxSizeMb`	Skip files larger than this (default 50)

Output (dataset)

url, pages, title, author, chars, text — or with perPage: url, page, pages, title, chars, text. Errors are returned as items with an error field (download failed, not a PDF, too large) so batch runs never stop.

Limits

Digital PDFs only — scanned images (no text layer) return empty text; OCR is on the roadmap. Password-protected PDFs are not supported.

Pricing

Pay per event: $0.005 per document ($5 per 1,000 PDFs). Failed downloads are not charged.

FAQ

Does it handle big files? Yes, up to maxSizeMb (default 50 MB); increase for large reports. Is the text order correct? Poppler follows the PDF's reading order; use layout for multi-column layouts and tables. Can I schedule it? Yes — schedule in Apify, call via API, or connect to Make/Zapier/Google Sheets.

PDF Text Extractor — Structured Tables, Markdown & Metadata

nuhemugames/pdf-text-table-extractor

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.

kuon

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.

Oaida Adrian

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.

Haketa

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG

boxbox10/pdf-extractor

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.

Marvin Eguilos

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.

ParseBird

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.

Inus Grobler

PDF to Text API — Extract PDF Text to Clean JSON for LLM & RAG

omao/pdf-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.

Marouane Oulabass

PDF Text Extractor

automation-lab/pdf-text-extractor

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.

Stas Persiianenko

377

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.

HJL Analytics and AI development

PDF Text Extractor — text, metadata, per page

x402opklaar/pdf-text-extractor

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.