biotech Case study

Smart Document Management OCR + LLM

An intelligent system that processes invoices and delivery notes from email to ERP, using generative AI to extract complex data such as batches and quantities.

Automated workflow

We transform unstructured documents into precise digital data through a sequential artificial intelligence pipeline.

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1. Reception and Detection

The system monitors email inboxes. When an attachment is received, our proprietary model classifies whether it is an invoice or a delivery note and validates its visual integrity.

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2. Cleaning and OCR

A neural network removes irrelevant headers and footers (noise). Advanced OCR is then applied to the cleaned regions of interest.

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3. Cognitive Extraction (LLM)

A specialized LLM interprets the extracted text. It identifies and structures key entities such as quantities and batch numbers, understanding the context.

The power of generative AI

The power of generative AI

The key to our accuracy lies in the LLM’s ability to “understand” the document, not just read characters. This enables handling variable formats without the need for rigid templates.

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Intelligent Segmentation

Automatic detection and removal of irrelevant areas to reduce the error rate.

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Batch validation

Extraction of complex alphanumeric codes (batch numbers), even from low-quality scans.

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Continuous learning

The model improves its recognition capability with every new supplier format processed.

Automate your document management

Reduce manual errors and free your team from repetitive tasks. Implement cognitive extraction.