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The Open Source Aryn Partitioning Service
Wrangling your gnarly PDF documents for chunking and processing just got a lot easier! We’re excited to announce the launch of the Aryn Partitioning Service (APS), a serverless, GPU-powered API for segmenting and labeling PDF documents, doing OCR, extracting tables and images, and more. APS runs the Aryn Partitioner and it’s state-of-the-art, open source deep learning DETR AI model trained on 80k+ enterprise documents. This can lead to 6x more accurate data chunking and 2x improved recall on hyb
We’re excited to announce the launch of the Aryn Partitioning Service (APS), a serverless, GPU-powered API for segmenting and labeling PDF documents, doing OCR, extracting tables and images, and more. APS runs the Aryn Partitioner and it’s state-of-the-art, open source deep learning DETR AI model trained on 80k+ enterprise documents. Although users could leverage the Aryn Partitioner for high-quality segmentation processing, there was one issue - to get the fastest performance, you needed to run it on NVIDIA GPU hardware.
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