Benchmarking the Most Reliable Document Parsing API
16 days ago
- #enterprise-AI
- #AI-benchmark
- #document-parsing
- Tensorlake's document parsing model achieves 91.7% accuracy in enterprise documents, outperforming Azure, AWS Textract, and open-source alternatives.
- The benchmark focuses on structural preservation (TEDS) and downstream usability (JSON F1), measuring table parsing, reading order, and non-textual content extraction.
- Tensorlake leads in table parsing with 86.79% TEDS on the OmniDocBench dataset, significantly ahead of open-source solutions.
- In real-world enterprise documents, Tensorlake maintains high accuracy (91.7% F1), crucial for production workflows processing thousands of documents daily.
- Tensorlake offers the best performance/price ratio at $10 per 1k pages, matching Azure's cost while outperforming AWS Textract, which is 50% more expensive.