Unlike other players in the OCR space, we don't block our competitors from accessing our platform. ...
Jerry Liu(@jerryjliu0) · 人工智能
Unlike other players in the OCR space, we don't block our competitors from accessing our platform. We're also fully committed towards open, reproducible benchmarks for document parsing and extraction - on ParseBench and ExtractBench respectively. It's important to give the industry a sense of how the pareto frontier of accuracy and cost evolves over time. ParseBench and ExtractBench are fully open, maintained benchmarks that we're constantly adding every day (e.g. 3.8 flash, fable 5.1, r-1) Sometimes we make mistakes on benchmarking, and we take into account your feedback on how to fix and improve the results! You can access both benchmarks from the links below, which also give you access to Github/Huggingface and more. ParseBench: parsebench.ai ExtractBench: extractbench.ai In the meantime, if you're looking to ship doc OCR workloads to production, we'd be happy to help you benchmark LlamaParse against other solutions you're considering over your data and compare the results. Sign up here: cloud.llamaindex.ai 💬 4 🔄 6 ❤️ 27 👀 2239 📊 12 ⚡ Powered by xgo.ing