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SolutionsHyperQ DocFlow
Document Intelligence

YOUR WORST DOCUMENTS.
PROCESSED IN SECONDS.

The AI that reads what other AI can't: handwritten, multilingual, factory-floor-quality documents, processed with field-level accuracy you can verify before you commit.

95%+
Automation Rate
3 to 5
Samples Needed
<2 Min
Per Batch
The APAC Problem

Built for Real Paper.

Your suppliers send you documents in 3 languages, on paper that went through a warehouse scanner, with handwritten corrections, and you're supposed to get that into your ERP by end of shift.

01

Multilingual Extraction

Seamlessly handles mixed documents containing CJK (Chinese, Japanese, Korean) characters alongside Latin text in the same file.

02

Handwritten Annotations

Captures lot numbers, corrections, inspector signatures, and delivery notes scribbled over printed forms.

03

Low-Quality Scan Recovery

Reads faded thermal prints, crumpled warehouse receipts, and skewed multi-function printer scans.

04

Multi-Format Splitting

Intelligently divides mixed packets containing POs, certs, and packing lists into distinct, routed records.

How It Learns

Workflow.

01

Show

Upload 3 to 5 sample documents per workflow. No complex rules or 10,000-page training sets required.

02

Map

AI automatically maps fields, validates business logic, and flags edge cases. You see field-level accuracy instantly.

03

Prove

Test on historical data. Know exactly what gets automated and what routes to human review before going live.

What It Processes

Enterprise Coverage.

Manufacturing Records

Extract data from vendor invoices, material certs, and handwritten quality logs.

Purchase OrdersQuality/Insp ReportsMaterial/Test Certs

Logistics Documentation

Process complex international shipping packets, customs forms, and multi-language bills of lading.

Bills of LadingCustoms DeclarationsDelivery Receipts

Operations & Procurement

Automate data entry from supplier contracts, scorecards, and complex SLAs.

Vendor ContractsApproval WorkflowsSupplier Scorecards

Risk & Compliance

Auto-file safety incident reports and maintain organized regulatory audit trails.

Safety CertificatesAudit DocumentationNon-Conformance Trails
Accuracy Transparency

Know exactly what fails.

90% accuracy is useless if you don't know which 10% fails. We show you exactly: field-by-field, document-by-document, which extractions are automated at 99%+ and which need a human glance.

Human-in-the-loop is for exceptions ONLY, not for everything.

Invoice #8472998% Auto
Vendor Name✓ High Conf
Total Amount✓ High Conf
Handwritten Lot #⚠ Human Review
Confidence: 74%
Comparison

HyperQ vs. Generic AI.

FeatureHyperQ DocFlowGeneric Document AIManual Entry
Multilingual (CJK+Latin)
Native support
Limited or buggyRequires translators
Handwritten annotations
Yes, fully supported
Partial / fails oftenYes, but slow
Factory-quality scans
Optimized for noise/skew
Fails on thermal/crumpledYes, prone to error
APAC customs forms
12+ formats out of box
US/EU focusedYes
On-premise / air-gapped
Yes, full support
Cloud-onlyYes
Field-level accuracy proof
Before you go live
After you sign a contractN/A
Deployment

Security & Integration.

Deploy strictly on your terms. We fit into your IT environment without forcing data to the cloud.

On-Premise / Edge / Air-Gapped

Deploy entirely on your infrastructure. No cloud dependency required. Data never leaves your facility.

ERP/MES Integration

Native connectors for SAP, Oracle, and custom manufacturing execution systems.

Ecosystem Cross-Sell Ready

Already using HyperQ AI Vision? DocFlow auto-generates quality records. Using AI Safety? Incident reports file themselves.

FAQ

Common Questions.

What makes this different from generic OCR?

Generic OCR extracts text; DocFlow understands context. It is specifically tuned for APAC industrial documents, so it handles mixed languages (CJK + English), handwritten lot numbers on top of printed tables, and low-quality thermal scans from warehouse floors.

How does the 'Proof Mechanism' work?

You send us your most difficult documents. Within 48 hours, we return a field-by-field accuracy report. You see exactly what automates at 99%+ and what requires human review before you commit to anything.

Do we need to train the AI on thousands of documents?

No. HyperQ DocFlow uses few-shot learning and foundational models optimized for enterprise documents. We typically only need 3 to 5 examples to map a new document type and begin processing with high accuracy.

Can it handle documents with multiple languages?

Yes. This is a core strength. The system routinely processes documents like a Japanese Purchase Order header with English specifications and a Chinese supplier stamp on the same page.

How does Human-in-the-loop work?

We provide accuracy transparency. The AI assigns a confidence score to every extracted field. If a field falls below your designated threshold (e.g., a badly smudged handwritten note), it is flagged and routed to a human operator for a 3-second review.

Is cloud connectivity required?

No. While cloud deployment is available, HyperQ DocFlow can be deployed fully on-premise or in an air-gapped environment to comply with strict IT and data security policies.

The Proof Mechanism

Send Us Your Hardest Documents.

We'll send back a field-level accuracy report in 48 hours. See exactly what works before you sign anything.