The Power of TensorFlow and Keras: Driving Tabscanner’s Cutting-Edge OCR Pipeline
The receipt OCR pipeline that has become a world leader. With 99% accuracy, Tabscanner uses AI with Keras and TensorFlow. Find out how.
The receipt OCR pipeline that has become a world leader. With 99% accuracy, Tabscanner uses AI with Keras and TensorFlow. Find out how.
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 […]
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 […]
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 […]
Tabscanner Receipt Validation API Wins POC Expense Management POC Tabscanner was contacted by a large expense management and accounts payable solutions provider. Their application serves over 50,000 small and medium businesses around the world who use their services to gather and submit employee expense reports for internal review and approval. Their existing system allowed employees […]
The History of OCR: How AI OCR is Revolutionizing Receipt Scanning. Ben Smith explains the history of OCR and the effect of AI.