AI is extracting data from Receipts and automating receipt processing workflow. 

For the past few years Intelligent Document Processing (IDP) technology has evolved significantly and as a result developers and automation experts have started to use Document AI or IDP in document-intensive process automation. 

What is document AI or Intelligent document processing?

Document AI, also known as Intelligent Document Processing (IDP) is an artificial intelligence (AI) and machine learning (ML) technologies to automate the extraction and processing of information from various types of documents such as invoice, receipts etc. It involves leveraging advanced algorithms and computer vision techniques to analyze and understand unstructured data within documents, such as text, tables, and images.

Document AI in receipts processing

For many years, finance teams across various industries have been burdened with the manual processing of receipts, resulting in a time-consuming and error-prone procedure. The task involves collecting receipts from multiple sources like emails and external folders and subsequently entering the data into the accounting system by hand. Fortunately, we have the document AI technology to solve this problem.

Companies like Intelgic have introduced innovative receipt processing platforms that automate the entire end-to-end process, ranging from the collecting of receipts to data extraction and integration. These platforms utilize IDP and document AI capabilities to extract data accurately and efficiently, eliminating the need for human intervention. 

Receipts processing AI model 

A receipt processing AI model extracts relevant information from receipts. This model is trained to understand and extract various components of a receipt, such as merchant name, date, total amount, line items, and other relevant fields.

The AI model is trained using a diverse dataset of annotated receipts, where each data point within a receipt is labeled based on its corresponding information. Through the training process, the model learns to generalize from the labeled examples and make predictions on new, unseen receipts.

The receipt processing AI uses deep learning to automatically recognize and extract the necessary data from receipt from scanned copy. It learns to identify patterns, structures, and specific features in the receipts, enabling it to accurately extract the required information.

Receipts processing AI platforms have a lot of advantages in terms of speed, accuracy, and overall process efficiency. These platforms are particularly valuable for organizations that handle a large number of receipts on a monthly basis. By leveraging AI technology, the processing of receipts becomes significantly faster, allowing for quick and consistent handling of large volumes. Overall, this technology revolutionizes the way organizations manage receipts, ensuring faster processing, enhanced accuracy, and improved efficiency for organizations dealing with a substantial volume of receipts on a regular basis.