人工智能+工具方案目錄

The Problem • Many multi-million-dollar AI projects fail due to poor OCR results. • The primary challenge causing document digitization projects to be halted or canceled is insufficient OCR performance. • In real-world applications, the accuracy of OCR often varies significantly from the results seen in standard dataset benchmarking. Therefore, even an OCR solution that claims to have 99.99% accuracy may ultimately fail to meet expectations. • Data extraction from common forms and application documents is frequently inadequate.Common Challenges • OCR struggles with poor-quality documents. • OCR performs poorly with small font sizes. • OCR has difficulty with handwritten documents. • The required entities are either missing or incorrectly extracted during the data extraction process.If you are facing any of these issues, our AI Data Extraction and Input Engine could help.Best Fit for Your Organization a. On-premise solution Our fully on-premise deployment option meets your security requirements. b. Highly Scalable and Integratable Our solution scales well to accommodate your workload and integrates seamlessly with your existing system via API. c. Short Implementation Time The engine can be set up in just one or two weeks, quickly alleviating your headaches from poor OCR performance. d. Annual License Model

Our solution offers low initial and ongoing costs, with the flexibility to upgrade or discontinue based on your needs each year.

If your have projects got stalled or being unsatisfactory due to inadequate OCR and data extraction performance, our solution could quickly alleviating your headaches: 1. Rapid Implementation 2. Low Upfront and ongoing cost 3. 100% Sure works very well before project starts