PDF Text Extractor — Structured Tables, Markdown & Metadata

Download any PDF by URL and extract clean per-page text + detected tables (as 2D arrays) + document metadata (title/author/created/modified). Powered by pdfplumber. Batch up to 50 PDFs. $0.01 per PDF + $0.0005 per page.

Read scanned PDFs and get clean text per page, with a confidence score for each one. Pages that already carry a text layer are read directly and never billed as OCR, so mixed batches come back faster, more accurately and cheaper.

Extract PDF tables to CSV and JSON with page and bounding-box provenance, OCR fallback, and explicit quality flags.

PDF to Text API | Document Extraction for LLMs & RAG

andok/pdf-text-converter

Convert bulk PDF documents via URL into clean, raw text. The perfect document scraper for LLMs, vector databases, and RAG pipelines.

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.

Parse Word, PowerPoint, Excel and PDF documents into clean Markdown and structured JSON: tables extracted cell-by-cell, document metadata, and RAG-ready chunks with heading paths. Built-in OCR for scans and images.

Extract tables from any PDF into clean structured rows ready for CSV or Excel. Auto-detects ruled and borderless tables, with page number, row/column counts, and an accuracy score per table. Powered by Camelot, the open-source PDF table extraction library.

PDF to Structured Data (Excel/JSON) with OCR

nibble/pdf-to-structured-data

Convert PDF invoices, forms, statements and reports into clean structured JSON (text, tables, key/values) with an OCR fallback for scanned pages.

Extract scientific tables, cells, units, and explicit footnotes from authorized HTML and born-digital PDF sources.

Webpage Text Extractor

benthepythondev/webpage-text-extractor

Extract clean readable text, titles and word counts from web pages.