An Artificial Intelligence (AI) Optical Character Recognition (OCR) data extractor can assist businesses greatly in streamlining the process of customs clearance. The advanced OCR technology can easily automate data extraction from a multitude of documents such as Commercial Invoices, Bills of Lading, Packing Lists, Customs Declarations, Import or Export Permits and many others involved in the international trade processes. With an AI data extractor, businesses can benefit from faster processing times, reduced operational costs, fewer chances of human error or data loss, and improved service delivery.
A great example of how using an AI-powered OCR data extractor can be seen in the case of a Commercial Invoice, which is a legal document between the supplier and the customer that clearly describes the sold goods and the amount the customer must pay. Using an AI OCR data extractor can quickly extract the necessary data such as item descriptions, prices, quantities, buyer and seller details etc. A similar process could be applied to a Bill of Lading - a document issued by a carrier acknowledging the receipt of cargo for shipment. This would greatly improve the customs clearance process, leading to reduced warehouse storage costs, improved customer satisfaction by ensuring on-time delivery, and a competitive edge in rapid-paced international commerce dynamics.
Upload your documents to Affinda directly to our app, or by integrating with email or document management platforms
Our AI-powered OCR data extractor will automatically scan, extract, label and categorise the data on the documents in seconds.
Export the data in a structured and usable format. Integrate our AI-powered OCR data extractor with any downstream system or platform to use your data where you need it most.
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Michael Zhao
AI Product Manager | SEEK
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Superior accuracy
Over 20+ fields extracted
Supports multiple file formats: PDF, JPG, PNG
Highly flexible and customisable
Supports over 56 languages
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Self-learning models improve over time
Seamless upstream and downstream integration
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