Category: Tabscanner Articles

Tabscanner API FAQ

Tabscanner API FAQ

Frequently Asked Questions about the Tabscanner API. A receipt recognition tool with exceptional efficiency and pricing engineered for enterprise volume. What Does the Tabscanner API Do? The Tabscanner API scans images, which are processed through a multitude of AI machine learning models. Plus an array of processing algorithms. Regular dataset testing ensures you get the […]

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Redis: The Backbone of Modern Queue Management and Scaling

Redis: The Backbone of Modern Queue Management and Scaling

In the world of high-performance applications, Redis has carved a niche as one of the most reliable and versatile in-memory data stores. From its origins as a simple caching solution to becoming a cornerstone of modern distributed systems, Redis has evolved into a powerhouse. For Tabscanner, Redis plays a pivotal role in managing queue processing, […]

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How does Tabscanner handle data security and privacy?

How does Tabscanner handle data security and privacy?

Ben SmithBased in Tokyo, Ben Smith is the Chief Technology Officer and Head of Research at Tabscanner. He pioneers deep learning models specifically designed for receipt optical character recognition (OCR) and document classification, engineering the core AI architectures that enable high-accuracy data extraction. www.linkedin.com/in/tokyoben/

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Scaling Tabscanner’s OCR Models with Multi-GPU and TPU Architectures

Scaling Tabscanner’s OCR Models with Multi-GPU and TPU Architectures

Tabscanner processes millions of receipts daily, which means its convolutional neural network (CNN) models need to continually improve to maintain exceptional accuracy and efficiency. With massive datasets and a commitment to constant model refinement, traditional single-machine training approaches fall short. Distributed training in TensorFlow provides the tools to scale model development using multi-GPU and TPU […]

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How Tabscanner Receipt OCR Technology Handles Multiple Languages and Currencies

How Tabscanner Receipt OCR Technology Handles Multiple Languages and Currencies

Ben SmithBased in Tokyo, Ben Smith is the Chief Technology Officer and Head of Research at Tabscanner. He pioneers deep learning models specifically designed for receipt optical character recognition (OCR) and document classification, engineering the core AI architectures that enable high-accuracy data extraction. www.linkedin.com/in/tokyoben/

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Receipt OCR using node.js and Javascript [Guide 2025]

Receipt OCR using node.js and Javascript [Guide 2025]

Tabscanner simplifies extracting data from receipts and invoices with its cutting-edge OCR technology. This blog demonstrates how to integrate Tabscanner’s API into your Node.js backend to process receipts and retrieve structured data in JSON format. Leveraging short polling, Tabscanner efficiently handles the processing of receipt images, with results typically available in about 5 seconds. Let’s […]

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