01
Inputs
PDFs, scans, images, invoices, packing lists, transport documents, certificates, email attachments and mixed document packages.

Intelligent Document Processing
98%
Accuracy
700+
Pages
0
Human input

98% accuracy · 700+ pages · Document merging · Zero human intervention.
Our AI engine processes any document type with 98% accuracy, automatically merges information across files, and generates complete customs declarations without human intervention.
Extract key-value pairs from any document type with industry-leading 98% accuracy using advanced AI vision and NLP technology
Process up to 700 pages without issues. Automatically splits bulk documents and classifies each document type intelligently
Merge information from different documents intelligently, even when no 1:1 matching is possible. Combines line items across documents
Automatically detects whether uploaded files are genuine or tampered using forensic analysis and digital integrity verification
Understands context like decimal separators, currency conversion, unit standardization, and automatic customs code classification
Intelligent matching with master data repositories for validation, enrichment, and consistency across all processed documents
Generate complete customs declarations automatically from processed documents with all required fields and compliance checks
Fully automated processing pipeline from document upload to final customs declaration without any manual intervention required
Document Types Supported
Extract key information from any document type with 98% accuracy. From invoices and packing lists to customs declarations and certificates.
Complete invoice processing with line item extraction
Detailed packing information and weight data
Transport document processing and routing info
Delivery confirmation and received quantities
Official customs forms and declarations
Compliance documents and authorizations
Smart Document Merging
Digicust goes beyond simple extraction. It intelligently merges information from different documents, even when no 1:1 matching is possible.
Intelligently matches line items across different documents even when descriptions don't match exactly
Example Scenario
Invoice line: 'Industrial Cleaning Solution 500L' matches Packing List: 'Cleaning Agent - 500 Liters - Drum'
Combines weight information from packing lists with value data from invoices for complete customs declarations
Example Scenario
Packing List: 25kg net weight + Invoice: €500 value = Complete customs line item
Infers missing information from related documents and master data to complete incomplete records
Example Scenario
Missing country of origin inferred from supplier address and master data records
Reconciles quantity differences between documents and flags discrepancies for review
Example Scenario
Invoice: 100 units vs Packing List: 98 units → Automatic variance detection
Deep Understanding
Our AI understands context like decimal separators, currency conversion, unit standardization, and automatic customs code classification.
Intelligent Number Processing
Automatically detects whether dots are thousand separators or decimal points based on context and regional formatting
Currency Conversion
Automatic currency detection and conversion to target currency using real-time exchange rates
Unit Standardization
Converts all units to standard formats for consistent processing and customs requirements
Customs Code Classification
Automatically classifies products to appropriate customs codes based on descriptions and AI tariff classification
Industry Applications
From customs brokers to manufacturing companies, our intelligent document processing serves every sector with precision and automation.
Our AI achieves 98% accuracy for document extraction across all supported document types. The system continuously learns and improves accuracy through advanced machine learning algorithms.
Yes, we can process up to 700 pages without issues. The system automatically splits bulk documents, classifies document types, and processes everything in parallel for maximum efficiency.
Our AI intelligently matches information across different documents even when no 1:1 matching is possible. It combines weight from packing lists with values from invoices to create complete customs declarations.
We automatically detect whether uploaded files are genuine or tampered using forensic analysis and digital integrity verification. This ensures document authenticity and prevents fraud.
Yes, our AI automatically detects currencies and units, converts them to standard formats, and handles context-aware number interpretation (decimal vs thousand separators).
No human intervention is needed. The system provides complete automation from document upload to final customs declaration generation with full audit trails for compliance.
Testimonials
Real results from real companies transforming their customs operations

90% Time Saved
"We reduced our processing time from 3-4 hours to just 10-15 minutes per declaration. The efficiency gains are remarkable."
From source data to an approved customs result
This workflow owns document extraction and transformation. Document control remains responsible for cross-document completeness, consistency and validity checks.
01
PDFs, scans, images, invoices, packing lists, transport documents, certificates, email attachments and mixed document packages.
02
Identify document types, run OCR, extract fields and tables, normalize values, merge related files and map the result to the required data model.
03
Field confidence, document boundaries, table totals, duplicate pages, language and format normalization, and conflicts between extracted values.
04
Structured JSON, mapped fields, source coordinates, confidence values, merged case data and an exception list for uncertain content.
High-confidence fields can pass automatically. Low-confidence or conflicting data is shown with its document source for focused human review.
A multilingual shipment pack is split into document types, its line items are merged and mapped, and two uncertain weights are sent to a reviewer with the original page references.