ParseBench assesses how well document parsing systems convert PDFs into structured output usable by AI agents. It tests five capability dimensions targeting failure modes that break production agent workflows: tables, charts, content faithfulness, semantic formatting, and visual grounding. The repository includes a leaderboard of commercial and open-source document parsing services including VLMs, LlamaIndex parsers, and commercial APIs.