Discover the intelligent generation 2.0 capture solution by Open Bee, which allows data extraction and automatic classification of documents
Today 3 million supplier invoices are currently managed by the Open Bee Capture solution within accounting and financial services. To enable its customers to boost their digital transformation through the automation of business processes, Open Bee now offers the second generation of this solution simplifying the recognition and automating the filing of all document types.
Recognize all document types
Beyond invoices, the solution automates data extraction and classification of all types of structured and semi-structured documents. Therefore, whatever the nature or complexity of your document, its recognition is automatically improved to optimize its processing.
Multiple use cases
Until now, the tool was specifically used to process supplier invoices, file purchase orders, or even deliveries…
From now on, all document formats are concerned, especially the processing of ID or other administrative documents. This technological advance involves many business activities such as:
- A car rental agency that will be able to automate the electronic filing of drivers’ licences , rental contracts, or other documents related to customer files,
- A hotel receptionist who can automatically file passports and forms during check-ins,
- An insurance broker who can automatically file customer documents (invoices, quotes, contracts, policies) regardless of the insurance company that issues them.
Information capture becomes a breeze with all incoming documents. The solution is also integrated into the cloud, so you can use the tool even when working from home with Smart Capture Cloud.
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Technology for multi-document capture
Deep learning and semantic recognition are at the heart of the tool
Open Bee Capture is equipped with a multi-document recognition engine based on deep learning and semantic analysis technologies. This means that it benefits from new self-learning features: able to self-correct and continuously improve the system when some documents are difficult to interpret.
A natural organization of documents around keywords
Based on the combination of keywords and their position, this new engine can detect and categorize incoming documents according to a specific type and index (metadata) to be searched.
The user has the full possibility to modify this automated recognition using customized options: favorite keywords, linking between keywords, strict keywords to be respected, and positioned keywords.
This marks the beginning of a new era and opens the door to many possibilities in the future with artificial intelligence for document processing.
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