A new benchmark for testing LLMs for deterministic outputs
A multi-source LLM benchmark across text, image, and audio that measures JSON value accuracy per field, not just schema compliance. 7 metrics, full leaderboard. When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or even complex PDFs into database entries.
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3x accuracy 95% fewer tokens
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After struggling with complex prompt engineering and unreliable parsing, we built L1M, a simple API that lets you extract structured data from unstructured text and images.