Pricing

from $1.50 / 1,000 pdf extracteds

Try for free

Go to Apify Store

PDF Text Extractor

Try for free

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

Pricing

from $1.50 / 1,000 pdf extracteds

Rating

0.0

(0)

Developer

ParseBird

Actor stats

Bookmarked

Total users

Monthly active users

22 days ago

Last modified

Changelog

v1.1 — 2026-08-17

Fixed a performance issue where Markdown conversion could take over a minute per PDF; Markdown conversion is now roughly 7-8x faster with no change to output quality
Added size and page-count limits so a single very large or complex PDF can no longer stall a run or use excessive memory — oversized PDFs are skipped with a clear error, and Markdown is skipped (with text and metadata still returned) for very large or very long PDFs
Added a processing timeout so a PDF that's unusually slow to parse can no longer run indefinitely
Lowered default and maximum concurrency for more predictable memory usage on batches of large PDFs

v1.0 — 2026-08-15

Initial release
Extract embedded text and metadata from PDF files by URL
Per-page text breakdown (optional)
Optional Markdown conversion, preserving headings and lists
Concurrent downloads with configurable concurrency and per-file timeout

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

404

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 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 ⚡

ninhothedev

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 — 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.

Opklaar

PDF Text and Markdown Extractor

fetch_cat/pdf-text-markdown-extractor

Extract public PDF URLs into clean text, Markdown, page content, OCR state, and document metadata for AI and automation workflows.

Hanna Nosova

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.

NanoScrape

PDF Text & Table Extractor — PDF URL to Structured JSON

toolkitlabs/pdf-text-tables

Extract text and tables from PDF files. Send PDF URLs; get JSON with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference.

Toolkit Labs

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 Pro

dainty_screw/pdf-text-extractor-pro

PDF Text Extractor lets you quickly extract text from PDF files with high accuracy. Supports text chunking for AI, chatbots, and large language models (LLMs), making PDF-to-text conversion fast, clean, and ready for NLP or machine learning.