LlamaParse leverages LLMs to take natural language instructions and parse documents accordingly. This approach ensures accurate extraction of tables, text, images, and other elements, tailored to your specific requirements.

LlamaParse supports over 10 file types, including PDF, Microsoft Word (.doc, .docx), PowerPoint (.pptx), Rich Text Format (.rtf), Apple Pages (.pages), Keynote (.key), ePub books (.epub), and more.

Install the app, create a scenario, add the LlamaParse module, connect via OAuth, and configure the settings.

Yes, LlamaParse excels at parsing complex documents. It features state-of-the-art table extraction, JSON mode for detailed output, and image extraction, ensuring comprehensive data retrieval.

JSON mode provides a rich, programmatic format for precise parsing. It outputs the full document structure, including tables, text, headings, images, and metadata, making it ideal for custom RAG strategies.

Yes, LlamaParse supports foreign languages, enabling you to parse and extract data from documents in multiple languages with ease.

Parsing instructions allow you to give LlamaParse simple, natural-language commands on how to handle specific documents. This results in more accurate and customized parsing outcomes.