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.
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.
Multilingual Extraction
Seamlessly handles mixed documents containing CJK (Chinese, Japanese, Korean) characters alongside Latin text in the same file.
Handwritten Annotations
Captures lot numbers, corrections, inspector signatures, and delivery notes scribbled over printed forms.
Low-Quality Scan Recovery
Reads faded thermal prints, crumpled warehouse receipts, and skewed multi-function printer scans.
Multi-Format Splitting
Intelligently divides mixed packets containing POs, certs, and packing lists into distinct, routed records.
Workflow.
Show
Upload 3 to 5 sample documents per workflow. No complex rules or 10,000-page training sets required.
Map
AI automatically maps fields, validates business logic, and flags edge cases. You see field-level accuracy instantly.
Prove
Test on historical data. Know exactly what gets automated and what routes to human review before going live.
Enterprise Coverage.
Manufacturing Records
Extract data from vendor invoices, material certs, and handwritten quality logs.
Logistics Documentation
Process complex international shipping packets, customs forms, and multi-language bills of lading.
Operations & Procurement
Automate data entry from supplier contracts, scorecards, and complex SLAs.
Risk & Compliance
Auto-file safety incident reports and maintain organized regulatory audit trails.
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.
Confidence: 74%
HyperQ vs. Generic AI.
| Feature | HyperQ DocFlow | Generic Document AI | Manual Entry |
|---|---|---|---|
| Multilingual (CJK+Latin) | Native support | Limited or buggy | Requires translators |
| Handwritten annotations | Yes, fully supported | Partial / fails often | Yes, but slow |
| Factory-quality scans | Optimized for noise/skew | Fails on thermal/crumpled | Yes, prone to error |
| APAC customs forms | 12+ formats out of box | US/EU focused | Yes |
| On-premise / air-gapped | Yes, full support | Cloud-only | Yes |
| Field-level accuracy proof | Before you go live | After you sign a contract | N/A |
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.
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.
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.