Enterprise AI-OCR

Read Documents.
Power YourOperations.

An advanced intelligent tool built on our proprietary LLM and OCR engines.
Proven across insurance, finance, logistics, and BPO to achieve cost reductions and efficiency gains of 5x or more.

Unstructured Docs Handwriting Recognition On-Premises Ready System Integration
NeosAI-OCR Performance
95%+
Recognition Accuracy
Measured on unstructured forms
5x
Processing Speed Uplift
vs. manual baseline
80%
AI Automation Rate
20% Manual Review
JSON/
CSV
Standard Output
Direct System Integration
Character Recognition Accuracy95.8%
Handwriting Recognition Accuracy91.2%
* Verified with proprietary production data
Recognition

High-Accuracy Recognition
Across All Document Types

Providing a robust enterprise recognition foundation that performs reliably even in complex real-world conditions.

✍️
Handwritten Text Recognition
Handles irregular handwriting and individual character variations. Context completion via SLM improves accuracy.
Input: Handwritten Form
→ Structured JSON Output
📋
Unstructured Form Recognition
No templates required. Automatically recognizes invoices, delivery notes, and application forms in varying formats.
Template Setup: Not Required
→ OCR via Natural Language
📊
Tables & Checkboxes
Structures complex table layouts, multi-page line items, and checkbox fields exactly as-is.
Preserving Table Structure
→ CSV / Excel Output
🖼️
Low-Quality Image Processing
AI correction for skew, glare, blur, and low resolution—handling real-world capture and scan conditions.
Photo / Scan / PDF
→ AI Auto-Correction → Recognition
Accuracy

High Recognition Accuracy

Even for cases traditional OCR struggles with—irregular handwriting, strikethroughs, stamps, and checkboxes—NeosAI achieves 95%+ accuracy across all document types.

01 Handwriting
Irregular Script
Irregular Script
Recognition Result
Noshikumi Co., Ltd. — Mr. Okawa
02 Strikethrough
Strikethrough
Strikethrough
Recognition Result
Sunny Lettuce
03 Medical Form
Multi-line
Multi-line
Recognition Result
Malignant Tumor Specific Substance Treatment Management Fee (Other)
CEA · CA15-3
04 Form
Checkbox
Checkbox
Recognition Result
Self
05 Stamp
Text in Stamp
Text in Stamp
Recognition Result
2025.07.14
06 Low Contrast
Faded/Greyed
Faded/Greyed
Recognition Result
ORTO NET black
Features

Beyond OCR—
AI That Truly Understands

More than character recognition—equipped with four core functions that support the entire business workflow.

AI Auto-Annotation: Minimizing AI Deployment Costs

AI automatically detects key fields and generates structured annotation results. Manual pre-configuration is minimal—same-day operation is possible.

  • ✓Automatically identifies key fields and generates structured annotation results
  • ✓AI pre-generates → humans simply review and correct
  • ✓New form types can be onboarded same day
  • ✓Reduces labeling setup effort by 70% vs. traditional approaches
Processing Status
📄
invoice_2025_001.pdf
Field detection complete · 8 items
Done
📑
application_form_tanaka.jpg
AI annotating...
Processing
🗒️
delivery_note_batch_032.pdf
Pending
Queued
AI Auto Rule Matching: From Character Recognition to Business Understanding

Automatically matches post-processing rules based on the semantic characteristics of each field. An AI that not only "reads" but truly "understands".

  • ✓Automatically determines post-processing rules from field meaning and context
  • ✓Handles business logic, code systems, and domain terminology
  • ✓Dramatically reduces rule configuration effort
  • ✓Instantly adapts to new form types
Rule Matching Examples
Amount Field → Currency Format · Range Check
Date Field → Date Normalization · Logical Consistency Check
Diagnosis Field → Auto-Mapped to ICD-10 Code
Product Code → Normalized to Internal Code System
Complex Scene Recognition: Stable Processing for Any Document

Combining VLM (Vision Language Model) and SLM (Small Language Model) to deliver stable document recognition across all business scenarios.

  • ✓VLM extracts key information from non-fixed layout forms
  • ✓High-accuracy recognition of tables, checkboxes, and handwriting
  • ✓Low-cost custom form support via SLM
  • ✓Handles degraded images including skew, glare, and low resolution
Supported Formats
📄
PDF
Structured & Unstructured
📷
Captured Photo
On-site & smartphone photos OK
🖨️
Scanned
Supports low DPI
✍️
Handwritten Docs
Handles irregular script & varied handwriting
Standardized Data Output: Making Data "Usable"

Converts recognition results into a unified format and outputs them as structured data for direct integration with downstream systems.

  • ✓Universal post-processing with standardized format validation
  • ✓AI mapping of business terminology, code systems, and encoding rules
  • ✓Unified output in JSON / CSV format
  • ✓Direct integration with ERP and core business systems
Output Preview (JSON)
{
  "invoice_no": "INV-2025-0423",
  "date": "2025-04-23",
  "amount": 125000,
  "vendor": "ABC Trading Co., Ltd.",
  "confidence": 0.978,
  "status": "verified"
}
Use Cases

Use Cases Grounded in
Real Business Operations

Designed based on proven results in BPO, finance, insurance, manufacturing, and logistics—environments where precision and stability are essential.

BPO
Fully Automated
High-Volume Document Processing

End-to-end automated processing of documents from diverse sources (scans, photos, PDFs)—from intake and classification to recognition and output. Scale throughput dramatically while meeting SLAs.

  • ✓Automatically sorts and processes documents from multiple clients in parallel
  • ✓High-accuracy extraction of key fields: amounts, dates, line items, and more
  • ✓Only anomalous data requires human review—maximizing throughput
  • ✓60% reduction in processing costs · Improved SLA attainment
BPO Document Processing Dashboard
1,284
Documents Today
98.2%
Auto-Completion Rate
23
Awaiting Human Review
📄
invoice_CompanyA_batch_089.pdf
Amount, date, items — 8 fields extracted
Done
🗒️
delivery_note_CompanyB_0423.jpg
AI recognizing... 74%
Processing
⚠️
application_CompanyC_handwritten.pdf
Amount field confidence 62% — Review Recommended
Needs Review
Finance
Smart Automation of
Account Opening & Document Review

Automatically identifies ID documents and supplementary materials, running comprehensive checks on completeness, consistency, and anomalies. Dramatically reduces review effort while strengthening compliance.

  • ✓Auto-correction of blur, skew, and glare from photographs
  • ✓Personal info consistency checks improve review accuracy
  • ✓Standardized data integrates directly with account systems and risk controls
  • ✓Review lead time reduced by up to 70%
Account Opening Document Review System
Extracted Fields — Identity Document
Full NameJohn Smith99.2%
Date of BirthMarch 12, 198598.7%
AddressTokyo, Chiyoda-ku...97.4%
ID NumberTK-2845-902199.8%
Expiry DateJanuary 31, 202999.1%
✓ All fields Consistency Check complete — Review Passed
Insurance
AI Auto-Analysis &
Standardization of Claims Documents

Automatically identifies claims documents—receipts, medical certificates, cost breakdowns—without templates. Understands medical terminology and auto-maps diagnoses and treatment items to industry-standard codes.

  • ✓Auto-maps diagnoses and treatment items to ICD-10 codes
  • ✓Cross-validates amount reasonableness and item consistency
  • ✓Auto-generates fraud detection flags to improve investigation efficiency
  • ✓Outputs structured data to claims and risk control systems
Insurance Claims Document Analysis System
3.2 min
Avg. Processing Time
96.4%
Auto-Approval Rate
↓82%
Manual Labor Reduction
DiagnosisAcute Myocardial InfarctionICD I21.0
Hospitalization Period14 Days98.1%
Total Treatment Cost¥ 487,20099.3%
Assessment ResultEligible for Payment — ApprovedAuto
Manufacturing
Real-Time Integration of
Field Forms to Core Systems

Automatically recognizes various field documents (POs, QC sheets, shipping slips) and integrates them directly into MES / ERP systems—fundamentally eliminating manual entry errors and processing delays at the source.

  • ✓Precisely extracts item codes, specifications, quantities, lots, and more
  • ✓Supports diverse input sources: on-site scans, photos, and more
  • ✓Auto data integration to MES / ERP reduces lead times
  • ✓Near-zero data entry error rate achieved
Manufacturing Line Document Processing Flow
📷
On-Site Photo / Scan
QC Sheets · Shipping Slips
🤖
NeosAI-OCR Auto-Recognition
Items · Specs · Qty · Lot Extracted
✅
MES / ERP Auto-Registration
Zero Manual Entry · Real-Time Sync
99.1%
Data Accuracy
↓90%
Data Entry Reduction
Instant
ERP Integration Speed
Retail & Logistics
End-to-End Automation of
Order & Logistics Documents

Automatically processes orders, shipping slips, receipt confirmations, and reconciliation sheets. Precisely extracts SKUs, quantities, and amounts—cross-document matching prevents mis-shipments and omissions.

  • ✓Cross-document matching of orders, shipments, and receipts prevents errors
  • ✓Direct data integration to ERP / WMS / TMS
  • ✓Scales to handle high-frequency, high-concurrency workloads
  • ✓95% reduction in matching error rate
Logistics Cross-Document Matching System
Order → Shipment → Receipt Matching Results
🛒
Purchase Order PO-2025-4821
SKU: A-0231 × 500 units ¥125,000
Matched
🚚
Shipping Slip SH-2025-4821
SKU: A-0231 × 500 units — Match
Matched
📦
Receipt Confirmation RCV-2025-4821
Quantity discrepancy: 0 — Perfect Match
Done
Comparison

Why NeosAI-OCR Outperforms
General-Purpose LLMs

LLMs are flexible, but they are not designed for enterprise-scale document processing.

Criteria NeosAI-OCREnterprise-Specialized General-Purpose Large ModelGPT / Gemini etc.
Optimal Human-AI Collaboration ✓ AI handles standard tasks + humans handle judgment & anomalies △ Fundamentally a "tool that humans use"
Recognition & Understanding ✓ Equivalent recognition & understanding to general-purpose LLMs ✓ Powerful general recognition & reasoning capability
Local Deployment ✓ On-Premises / Private Cloud Supported ✗ Primarily dependent on public cloud APIs
Business System Integration ✓ Model + business knowledge + rules + workflow + integration △ Limited to a powerful model and tools
Cost Efficiency ✓ Unit cost structure optimized for high-volume processing △ Token-based pricing makes high-volume processing expensive
Data Security ✓ Data Never Leaves · Compliance Ready ✗ Risk from external API transmission
Pricing

3 pricing plan to choose

SaaS Pricing Plan A Plan B Plan C
Initial Fee (JPY / contract) ¥0 ¥200,000 ¥200,000
Monthly Subscription (JPY / month) ¥20,000 ¥195,000 ¥580,000
Included Pages (pages / month) 1,000 10,000 30,000
Overage Unit Price (JPY / page) ¥20 ¥20 ¥20

※ Each plan includes a free quota of pages per month. Any reads exceeding the free quota will be charged on a pay-per-use basis.

※ All prices listed above are exclusive of tax.

※ Payment method: Prepayment (initial fee + monthly subscription) + overage settled at end of following month. Example: the March subscription is paid on February 10, and January overage is settled at end of February.

※ Initial fees and monthly subscription fees are non-refundable once paid.

Want to Try It with
Your Own Documents First?

Experience a demo using your actual business data.
A free trial is also available before full adoption.

Contact Us