Category: Technical

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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Receipt OCR using Python [Guide 2025]

Receipt OCR using Python [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 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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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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