What document types can you process?

We process contracts, invoices, purchase orders, forms, applications, reports, identification documents, medical records, legal filings, insurance claims, permits, and custom document types specific to your workflows. The system handles PDF, scanned images, photographed documents, and digital forms.

What accuracy rates do you achieve?

Extraction accuracy depends on document quality and complexity. For structured documents like invoices and standard forms, we typically achieve 95-99% accuracy. For highly variable documents like handwritten notes or non-standard contracts, 85-95%, with confidence scoring that flags uncertain extractions for human review. Accuracy improves over time as the system learns from corrections.

How do you handle handwritten documents?

Modern AI OCR models handle printed handwriting well. Cursive and highly variable handwriting is extracted with lower confidence and routed for human verification. For organizations that receive significant volumes of handwritten documents, we configure dedicated handwriting models trained on your specific document types.

What volume of documents can the system handle?

AI document processing scales horizontally. We design systems to handle your peak volume — whether that is hundreds or hundreds of thousands of documents per day. Processing time per document is typically 2-15 seconds depending on complexity, compared to 5-30 minutes for manual processing.

How does this integrate with our existing document management system?

We build integration layers that connect AI processing to your existing systems — SharePoint, OpenText, Documentum, Laserfiche, or custom platforms. Documents flow from your existing intake channels through AI processing and back into your systems of record. No change to how staff access documents.

What document types can you process?

We process contracts, invoices, purchase orders, forms, applications, reports, identification documents, medical records, legal filings, insurance claims, permits, and custom document types specific to your workflows. The system handles PDF, scanned images, photographed documents, and digital forms.

What accuracy rates do you achieve?

Extraction accuracy depends on document quality and complexity. For structured documents like invoices and standard forms, we typically achieve 95-99% accuracy. For highly variable documents like handwritten notes or non-standard contracts, 85-95%, with confidence scoring that flags uncertain extractions for human review. Accuracy improves over time as the system learns from corrections.

How do you handle handwritten documents?

Modern AI OCR models handle printed handwriting well. Cursive and highly variable handwriting is extracted with lower confidence and routed for human verification. For organizations that receive significant volumes of handwritten documents, we configure dedicated handwriting models trained on your specific document types.

What volume of documents can the system handle?

AI document processing scales horizontally. We design systems to handle your peak volume — whether that is hundreds or hundreds of thousands of documents per day. Processing time per document is typically 2-15 seconds depending on complexity, compared to 5-30 minutes for manual processing.

How does this integrate with our existing document management system?

We build integration layers that connect AI processing to your existing systems — SharePoint, OpenText, Documentum, Laserfiche, or custom platforms. Documents flow from your existing intake channels through AI processing and back into your systems of record. No change to how staff access documents.

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AI Document Processing & OCR

Remolda deploys intelligent document processing that extracts, classifies, and validates information from any document type — forms, contracts, invoices, reports, applications — at scale and with 95-99% accuracy. We replace manual data entry with AI systems that understand documents, not just read them.

What is AI Document Processing?

AI Document Processing is the automated extraction, classification, and validation of information from documents — replacing manual data entry with an intelligent system that reads documents the way a human would, but at scale and with consistent accuracy. Remolda deploys AI document processing for organizations that handle high volumes of contracts, forms, invoices, applications, and reports, reducing manual processing time by 60-80% while improving data accuracy.

Every document-heavy organization knows the problem. Government departments receive thousands of application forms per week. Law firms manage hundreds of active contracts with dozens of clause types to track. Financial institutions process invoices, statements, and compliance documents in volumes that strain manual review capacity. Healthcare networks handle clinical documentation, insurance forms, and patient records that must be accurate and processed quickly.

In every case, manual document processing is slow, expensive, error-prone, and deeply unsatisfying for the skilled staff who spend their days on data entry rather than the substantive work they were hired to do.

Beyond Basic OCR

Traditional OCR converts document images to text. It reads the characters on the page and produces a text string. That text string still needs a human to find the relevant information, understand its meaning, check its accuracy, and enter it into the right fields in the right system.

AI document processing goes further. It understands the text it converts — identifying what information means, where to find it across variable document layouts, how to classify the document type, whether extracted values are plausible given the context, and where the information should go in your downstream systems.

This is the difference between transcription and comprehension. A traditional OCR system reads "March 15, 2026" from a contract. An AI document processing system understands that this is the execution date, that the contract is a service agreement, that the counterparty is XYZ Corp, that the value is $150,000, and that the payment terms are net-30 — and it enters all of this into your contract management system automatically.

What We Build

Document Classification

Incoming documents are automatically classified by type — invoice, contract, application, correspondence, identification — routing each document to the appropriate processing pipeline without manual sorting. For organizations that receive mixed document streams (e.g., a mailroom or shared inbox), classification alone eliminates hours of manual triage per day.

Intelligent Extraction

We configure extraction models for the specific fields your workflows require — names, dates, monetary amounts, addresses, contract clauses, medical codes, regulatory references, or any other structured information that your staff currently extract manually.

The extraction is not template-based. The AI models understand document structure and can extract the same information from different document layouts, formats, and styles. A purchase order from Supplier A and a purchase order from Supplier B have different layouts, but the AI extracts the same fields from both.

Validation and Quality Control

Extracted data is validated against expected formats (dates, currencies, postal codes), cross-referenced with existing records in your systems (known vendors, active contracts, registered addresses), and scored for extraction confidence. Low-confidence extractions are flagged for human review — not silently passed through.

This confidence-based routing is critical. The system handles the 80-90% of documents where extraction is straightforward, and routes the genuinely ambiguous cases to human reviewers with pre-filled fields and highlighted areas of uncertainty. Human expertise is applied where it matters.

Integration with Downstream Workflows

Extracted data flows directly into your CRM, ERP, case management system, contract management platform, or database — eliminating the manual data entry step entirely. We build connectors to the specific systems your organization uses, including legacy platforms that may not have modern APIs.

Exception Management

Documents that cannot be processed automatically — illegible scans, unusual formats, missing pages — are routed to a human review queue with clear indication of what the system could and could not extract. The human reviewer corrects or completes the extraction, and those corrections feed back into the model to improve future accuracy.

Audit Trail and Compliance

Every extraction is logged with the original document image, extracted values, confidence scores, validation results, and any human corrections. This audit trail satisfies the compliance requirements of regulated industries — government, healthcare, legal, and financial services — where document processing decisions must be traceable.

The Business Impact

The numbers are consistent across sectors. Organizations that deploy AI document processing see:

60-80% reduction in manual processing time for targeted document types
95-99% extraction accuracy for structured documents, eliminating most data entry errors
2-15 seconds processing time per document, compared to 5-30 minutes manually
Redeployment of skilled staff from data entry to substantive work — analysis, decision-making, client service

For a government department processing 5,000 applications per month at an average of 20 minutes of manual processing each, AI document processing recovers approximately 1,400 staff-hours per month. That is the equivalent of 8-9 full-time staff redeployed from data entry to citizen-facing service.

Industries Where Document Processing Has the Highest Impact

Government: Application forms, permit documents, compliance filings, correspondence, procurement documents. Bilingual document processing in both official languages.

Legal: Contracts, court filings, discovery documents, regulatory submissions, client correspondence. Clause extraction and obligation tracking across large document portfolios.

Financial Services: Invoices, loan applications, insurance claims, compliance documents, account opening paperwork. High-volume processing with regulatory accuracy requirements.

Healthcare: Clinical documentation, insurance forms, patient intake paperwork, lab reports, referral letters. Privacy-compliant processing with Canadian data residency.

Real Estate: Contracts, permits, specifications, change orders, insurance certificates, lien waivers. Project-level document organization and obligation tracking.