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Training AI models with limited and inaccurate data, the accuracy will be unstable and substandard. However, obtaining large amounts of high-quality data can be time-consuming relying on manual.
Quickly process unstructured data in batches, from parsing, extraction, detection to cleaning, to enrich data sources, minimize errors and costs, improve data quality, and boost model accuracy.
98%
Lower human error
90x
Faster than manual processing
1000K/ 1h
pages processing
85%+
Cost savings
On-premises
Securely extract and process data from documents directly within local environments and Linux platform, ensuring enhanced control and privacy.
Offline SDK
Integrate local SDKs seamlessly into your applications or systems, and intelligently process unstructured data with lower latency and higher security.
Online API
Explore a faster and more flexible way to smarty process documents from any platform, with high scalability and reliability.