Does it work for handwritten documents?

Yes. We use ICR (Intelligent Character Recognition) for handwriting, which is a specialized neural network for script and cursive.

How do you handle 'Low-Confidence' extractions?

Every extraction gets a 'Confidence Score' from 0 to 100. If the score is below your threshold (e.g., 95%), the document is automatically sent to a human for verification.

Can we use this for 20+ different languages?

Yes. Our IDP engine is multi-lingual and can process documents in English, Spanish, French, German, Chinese, and many more, maintaining contextual accuracy.

What happens if a layout changes?

Nothing. Because our AI is 'Semantic' (meaning-based), it doesn't care where the data is. It finds the field based on the *context* around it, not the *coordinates* on the page.

How do we get our documents to your AI?

We support multiple ingestion methods: secure SFTP folders, direct email inbox monitoring, or a simple REST API that your system can call.

Data Entry & Virtual Assistant

AI-Powered Intelligent Document Processing (IDP) that Ends Manual Entry

Move beyond simple OCR to AI that understands, extracts, and validates document data automatically, routing only true exceptions to a human so clean, structured records flow straight into your systems.

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The End of Manual Data Entry

OCR just sees 'Pixels as Text.' IDP sees 'Meaning as Data.' Traditional document processing still leans on human eyes to find the right fields and key them into a system. 'Applied IDP' removes that step: AI that reads the context of a document, extracts the critical fields, and validates them against your business rules automatically. Whether it's messy invoices, complex insurance claims, or varied KYC packets, the engine handles the heavy lifting, pairing state-of-the-art neural networks with a 'Human-in-the-Loop' verification layer for 100% accurate data injection at 10x the speed of manual entry. It digitizes the intelligence locked inside your documents, not just the pixels on the page.

The Old Way

Legacy OCR

The Intelegencia Way

Intelegencia IDP

Frequent 'Garbage' text errors

Neural-Engine Accuracy

No contextual understanding

Deep Contextual Understanding

Requires human 'Re-typing'

Zero-Touch Data Injection

Broken by layout changes

Layout-Agnostic Processing

High manual verification cost

90% automated verification

Context-Aware Data Extraction

Our AI doesn't just look for keywords; it understands the 'Relationship' between data points. It knows that a number next to 'Total' is the invoice amount, and a date next to 'Terms' is the due date, regardless of where they appear on the page. This 'Semantic Extraction' allows us to process documents from thousands of different vendors without needing a specific 'Template' for each one. We turn messy, unstructured files into clean, structured JSON or SQL data instantly.

Template-Free Neural Extraction

Semantic Field Mapping

Handwriting (ICR) Support

Multi-Page Logical Stitching

Table & Line-Item Capture

Automated Business-Rule Validation

Extraction is only the first step. Our system automatically validates the extracted data against your specific business rules. It checks if the 'Line Items' add up to the 'Total', or if the 'Vendor Name' matches your master list in the ERP. If a document fails a validation rule, it's instantly routed to one of our human specialists for a 5-second verification. This 'Exception-Only' workflow ensures that only 100% correct data ever enters your core systems.

Cross-Field Mathematical Checks

Master-Data Lookup Validation

Duplicate-Invoice Detection

Confidence-Score Triage

Auto-Flagging for Exceptions

Seamless ERP/CRM Integration

Data without a home is useless. We build the 'Last-Mile' connectors that take the extracted and validated data and inject it directly into your systems of record (SAP, Oracle, NetSuite, Salesforce, etc.). We handle the complex API mapping and 'State Management' required to ensure that a document is marked as 'Processed' only once the data is successfully ingested. We eliminate the 'Data Silo' and create a truly autonomous back-office.

Direct API Data Injection

Web-hook Success Tracking

Error-Log Management

Legacy System (RPA) Support

End-to-End Audit Trails

The Intelligent Stack

IDP Use Cases

We provide specialized AI models for the most document-heavy areas of your business.

Accounts Payable

Autonomous invoice reading and 3-way matching.

KYC/Onboarding

Automated identity and document verification for new clients.

Logistics BOLs

Extracting cargo and delivery data from messy Bills of Lading.

Medical Records

Structuring fragmented patient data for clinical analysis.

Recursive Model Learning

Our IDP system gets smarter with every document it processes. When a human specialist corrects an exception, that correction is fed back into the model as 'Training Data' for next time. This creates a 'Flywheel Effect' where your automation rate increases every month. We move from 70% automation on Day 1 to 95%+ within 6 months, continuously reducing your operational overhead and increasing your speed.

Human-in-the-Loop Feedback

Automated Re-training Loops

Performance Drift Monitoring

Category-Expansion Logic

Infinite Efficiency Gains

The Path to Autonomy

Our IDP Roadmap

We implement intelligent processing through a structured data-science and integration phase.

Document Sample Audit

Analyzing your document types to identify 'High-Value' fields.

Model Calibration

Training the AI on your specific layouts and terminology.

Validation Logic

Building the 'Rules Engine' that checks the data for errors.

Pilot Injection

Running a 1,000-document test with 100% human audit.

Full Scale

Autonomous processing with exception-only human oversight.

Measured Performance. Proven Growth.

Extraction Accuracy

Automation Rate

Processing Speed

Cost-per-Doc

Frequently Asked Questions
About AI-Powered Intelligent Document Processing (IDP)

Here you will find answers to questions we get asked the most about our offerings.

OCR just reads the letters. IDP understands the *meaning*. IDP can find the 'Tax Amount' on an invoice even if it's in a different place on every page, whereas OCR requires a fixed template.