PDF Extractor: Structured Text + Metadata

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Extract text from PDFs, read metadata (title, author, dates), count pages. Bulk processing from URLs. $0.003 per PDF.

Instant API that parses any PDF from a URL — extracts full text, page count, metadata (title, author, dates), and PDF version. Returns structured JSON. Perfect for document processing pipelines and AI agents.

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.

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.

Scrape and extract text from PDF links.

PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.

Extract clean Markdown, page text, tables, metadata, summaries, and AI-ready RAG chunks from PDF URLs.

Efficiently extract text content from PDF files, ideal for data processing, content analysis, and automation workflows. Supports various PDF structures and outputs clean, readable text.