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Document Intelligence
Amazon Textract, Comprehend and custom models extract, classify and analyse your documents at scale — replacing hours of manual data entry with seconds of automated processing.






























If your team is manually reading documents and typing data into systems, there is a faster way.
Automatically extract vendor names, line items, totals, tax amounts and payment terms from invoices in any format. Feed data directly into your ERP or accounting system.
Extract key clauses, dates, parties, obligations and renewal terms from contracts. Flag non-standard terms and compare against your approved templates.
Process application forms, claim forms, onboarding documents and questionnaires. Extract structured data from handwritten and printed forms with high accuracy.
Automatically sort and route incoming documents by type — invoices, purchase orders, correspondence, legal documents. Reduce manual triage by up to 90%.
95%+
Extraction accuracy on printed documents with Amazon Textract
90%
Reduction in manual data entry time reported by our clients
100k+
Documents per day processed by our largest production pipeline
Send us a sample batch of your documents and we will show you what automated extraction looks like — free of charge.
We select the right combination of AWS services based on your document types, accuracy requirements and volume.
Extracts text, tables, forms and key-value pairs from scanned documents and PDFs. Handles handwriting, stamps and multi-column layouts.
Natural language processing for entity extraction, sentiment analysis, topic modelling and custom classification of document content.
Foundation models for complex document reasoning — understanding context, answering questions about documents and generating summaries.
When off-the-shelf services are not sufficient, we train custom models on SageMaker using your labelled document data for domain-specific accuracy.
We review your document types, volumes, formats and downstream systems. We classify documents by complexity and recommend the right extraction approach for each.
We build a working extraction pipeline using your sample documents. You see real results — accuracy metrics, extracted data and integration with your systems.
The full pipeline includes S3 ingestion, Textract processing, post-processing rules, confidence scoring and a human review queue for low-confidence extractions.
CloudWatch dashboards track accuracy, throughput and error rates. We continuously refine extraction rules and retrain custom models as your document types evolve.
Book a free discovery call and send us sample documents. We will show you what automated extraction looks like with your real data.