Category: Technical

At the heart of Tabscanner’s high-performance receipt OCR processing and image classification lies a robust and scalable convolutional neural network (CNN) pipeline. This pipeline leverages the transformative power of TensorFlow and Keras, enabling accurate and efficient data extraction from receipt images. In this blog post, we explore the origins and evolution of Keras, its integration […]

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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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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 Python 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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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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