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ICDAR 2019 Robust Reading Challenge Task 3

Applica’s research team recently submitted our proprietary layout-aware Language Model (LAMBERT) and data extractor for an external challenge regarding extracting information from scanned and OCR receipts. Applica outperformed 23 other teams (including some tech industry titans) to take the top spot. This win validates that our layout-aware language model is incredibly well suited to extract data from receipts and invoices, as well as comprehending all types of tables, forms, and text.

More detailed information about the tasks, results, and an overview of the ICDAR challenge can be found on their website.