Building powerful, LLM-driven document applications often starts with an accurate and efficient parser. But for many real-world workflows, privacy is non-negotiable sensitive files must run locally on your laptop, without a single byte touching the cloud.
That local setup also has to be fast. An ideal parser should reach 5 to 10 frames per second, which means a 100-page document can be parsed in about 10 to 15 seconds, fast enough for users to move straight into interactive Q&A. But speed alone is not enough. The parser also has to handle complex layouts, dense tables, and paragraphs that span pages, scanned documents, and multiple languages.
Run multiple PDF parsers locally on macOS, compare outputs side by side, switch engines in seconds, and auto-install agent skills so cleaner document output flows straight into your AI workflow.
*Windows and Linux coming soon.