PDF Parser

PDF Parser is a web and API-based AI tool for developers, AI engineers, and businesses that need to turn complex PDFs into structured, RAG-ready data for retrieval, extraction, and automation workflows.

Key capabilities include:

• High-precision element extraction for tables, paragraphs, and images, including challenging layouts and scanned pages
• Structured outputs suitable for RAG pipelines, such as Markdown or JSON, with layout preservation to keep content usable downstream
• Document understanding features such as OCR text positioning, reading order determination, table structure recognition, and logical document structure parsing, including table of contents extraction
• Fast parsing via a simple API call, designed for batch processing and data pipelines

Pricing: Paid, $1 per 100 pages.

Notable for a hybrid parsing approach trained on 10+ million document pages, plus an explicit no content filtering policy and speed claims (including 10× faster than Google Gemini 2.0 Flash for some parsing tasks), which can make it a better fit for high-throughput RAG ingestion and complex PDF handling.