Document classification AI
We develop custom AI solutions that automatically recognise and classify documents. Not a standard package with fixed categories, but a system trained on your specific document types and business processes.
Why custom document classification?
Standard classification software works with predefined categories and generic models. These often fail to recognise your specific document types, or classify them incorrectly. Custom development means the AI model is built around your documents.
We don't sell off-the-shelf classification software
Appfront develops custom solutions. We analyse your document flows, identify which categories are relevant to you, and build an AI model trained specifically on your documents, from recognition through to routing into downstream processes.
When standard software falls short
- ! Company-specific document types: internal forms, industry documents, your own templates
- ! Fine-grained categories: not just "invoice" but also supplier type, department, urgency
- ! Complex routing: documents must go to specific workflows or employees
- ! Multilingual: documents in different languages that must be recognised correctly
What custom development offers you
- + Your categories: classification into the types that are relevant to your organisation
- + Trained on your documents: the model learns from your specific document examples
- + Automatic routing: documents sent straight to the right workflow or department
- + System integration: seamless integration with your DMS, ERP or workflow system
| Aspect | Standard software | Custom solution |
|---|---|---|
| Categories | Fixed, predefined types | Your specific document types |
| Training | Generic trained model | Trained on your documents |
| Routing | Basic categorisation | Routing to your workflows |
| Customisation | Limited configurability | Fully customisable |
How document classification works
From incoming document to automated processing - these are the steps a custom classification system goes through
Input
Document arrives via email, upload or scanner
OCR & extraction
Recognise text and extract relevant features
AI classification
Determine document type with a confidence score
Routing
Forward to the right workflow or system
What can we develop?
Depending on your situation, we can develop various components for document classification
Document type recognition
AI models that classify documents by type: invoices, contracts, letters, forms or your own categories. Trained on your specific document examples.
Multi-label classification
Not just the type, but also other attributes: urgency, department, subject, language, supplier. Multiple labels per document for richer metadata.
Confidence scoring
Every classification result receives a confidence score. Documents with low scores can automatically be routed for manual review.
Automatic routing
Based on classification, documents are automatically forwarded to the right workflow, department or employee, including rules for exceptions.
System integration
Integrations with your document management system, ERP, workflow applications or archive. Documents are stored automatically in the right place.
Examples of document classification
Custom classification can be applied to a range of document types and use cases
Incoming post
Automatically sort letters, forms and requests
Financial documents
Recognise invoices, credit notes and payment reminders
Contracts
Categorise contracts, SLAs and attachments
HR documents
Classify CVs, job applications and leave requests
Certificates
Recognise diplomas, licences and inspection reports
Technical documents
Sort drawings, specifications and manuals
Test your idea first: a working prototype in 1 day
With OneDayBuild, we turn your idea into something tangible in one day for €1,150, so you can see whether further development is worth the investment. Decide to go ahead with the full build? Then we credit the full cost.
Explore OneDayBuild →When is custom classification worthwhile?
Custom document classification isn't necessary for every organisation. It is most valuable in the following situations:
High document volume
Organisations receiving dozens to hundreds of documents daily, where manual sorting creates a bottleneck
Diverse document types
Many different document types, each requiring different handling or routing
Industry-specific documents
Document types that standard software doesn't recognise, such as internal forms or sector-specific paperwork
Complex workflows
Documents that need to be routed to different departments, workflows or systems
Technical possibilities
Several AI technologies can be used for document classification, depending on your specific situation
Technologies
Our approach
- 1 Analysis: we map out your document types and volumes
- 2 Data collection: gathering sample documents for each category
- 3 Model training: training the classification model on your documents
- 4 Validation: testing and fine-tuning for optimal accuracy
- 5 Integration: integration with your existing systems and workflows
Frequently Asked Questions
AI document classification is the automatic recognition and categorisation of documents based on their content. AI models analyse text, structure and context to classify documents by type, subject or urgency, and route them to the appropriate processes.
Standard classification software works with predefined categories and often fails to recognise your specific document types. Custom development means the AI model is trained on your documents, using your categories and your processing rules. This delivers better results and seamless integration.
This depends on the complexity and number of categories. In general, at least 50–100 examples per category are needed for good results. More complex classifications or high variation may require more data. We help you collect and label training data.
Accuracy depends on document quality, the number of categories and the training. With well-trained models on clearly distinct document types, accuracies of 90–98% are achievable. Documents with low confidence are automatically flagged for review.
Yes, a custom system can be extended with new categories. By adding new sample documents and retraining the model, the system learns to recognise new document types. This can be part of a continuous improvement cycle.
Automatically classify documents?
We don't build off-the-shelf solutions; instead, we analyse your specific situation. In a conversation, we discuss your document flows, categories and goals to determine whether and how custom document classification can add value.