Enterprise OCR & Intelligent Document Processing

TurnDocumentsIntoDecisions

From messy screenshots to structured, actionable data in seconds. Our AI reads, extracts, validates, and decides — transforming document-heavy workflows into automated pipelines.

Income OCRIdentity ExtractionFraud DetectionClaims AutomationContainer Defect AI
See It in Action

Watch AI extract & structure in real-time.

Upload a document on the left — watch AI scan, extract fields, assign confidence scores, and produce structured JSON output on the right. In under 2 seconds.

Identity Card (KTP)
Republic of Indonesia
NIK
3201••••••••0001
Nama
AHMAD RIZKI PRATAMA
Tempat/Tgl Lahir
JAKARTA, 15-03-1992
Alamat
JL. SUDIRMAN NO. 45
G
Grab Earnings — Screenshot
Total Earnings (Oct)Rp 8,450,000
Trips Completed342
IncentivesRp 1,200,000
Active Days26 / 31
AI Processing...
Structured Output — JSON
1.2s
Processing
6/6
Fields Extracted
95.8%
Avg Confidence
Technology Stack

What powers our OCR & IDP platform

OCR Engine
Hybrid Multi-Model Pipeline
Open source (PaddleOCR, DeepSeek OCR) + closed source (Gemini, OpenAI) — end-to-end customizable engineering
Intelligence Layer
LLM Post-Processing
Context-aware extraction, not just template matching
Output Format
Structured JSON
Schema-validated, API-ready structured data
Integration
REST API + Webhooks
Plug into any existing system in minutes
Credit & Financing

Income Verification

The Challenge

Customers submit screenshots, informal income proof from ride-hailing apps, and inconsistent documents — making it nearly impossible to verify income at scale manually.

GPTBots Solution

OCR extracts income, trip count, and earning periods from Grab/Gojek screenshots, payslips, and bank statements. LLM normalizes data into structured format and feeds directly into credit scoring logic.

Source: Ride-Hailing Earnings Screenshot
G
Grab Driver Earnings
October 2025
Total EarningsRp 8,450,000
Trips Completed342
Incentive BonusRp 1,200,000
Active Days26 / 31
Avg. Trip FareRp 24,707
AI Extracted → Structured JSON
monthly_income
8450000 IDR
97%
income_source
ride_hailing
99%
platform
grab
98%
trips_count
342 trips
96%
active_ratio
0.84 ratio
94%
risk_flag
none
92%
Ready for credit scoring API

AI Workflow Pipeline

1Document Upload2OCR Extraction3LLM Normalization4Structured JSON5Credit Scoring API
FintechBNPLLeasingMicrofinance

ROI & Returns

85%
Faster Income Assessment

What took an analyst 20 minutes per case now completes in under 30 seconds automatically.

10x
Processing Volume

Handle 10x the loan applications without adding underwriting staff.

35%
Better Loan Approval Rates

Accurate extraction means fewer false rejections — more qualified borrowers get approved.

eKYC & Compliance

Identity Verification

The Challenge

Manual KYC is slow, error-prone, and expensive. Human reviewers struggle with inconsistent document formats, poor image quality, and high volumes — creating bottlenecks and compliance risk.

GPTBots Solution

OCR extracts name, ID number, address, and date of birth from identity documents. AI cross-checks against user input and face match results, then assigns a verification confidence score.

ID Document Scan
KTP — Indonesia
NIK: 3201••••0001
Name: AHMAD RIZKI P.
DOB: 15-03-1992
AI Face Match
ID Photo
99.2%
MATCH
Selfie
LivenessPassed
Face QualityHigh
Spoofing CheckClear
Verification Result
AUTO-APPROVED
Confidence: 98.4%
Document AuthenticityPass
Face Match99.2%
Data Cross-CheckPass
Fraud SignalsNone
Regulatory CompliancePass

AI Workflow Pipeline

1ID Upload2OCR Extraction3Cross-Validation4Face Match5Confidence Score6Auto-Approve
FintechBanksTelcoInsurance

ROI & Returns

90%
Straight-Through Processing

9 out of 10 identity checks are fully automated with no human intervention needed.

99.2%
Extraction Accuracy

AI-powered OCR with LLM verification exceeds human accuracy on ID document extraction.

60%
KYC Cost Reduction

Dramatically reduce compliance team workload by automating routine verifications.

Structuring & Underwriting

Financial Document Structuring

The Challenge

Payslips, bank statements, and financial documents come in hundreds of inconsistent formats — different layouts, languages, and structures make manual extraction slow and error-prone.

GPTBots Solution

OCR + LLM extract salary, employer, deductions, account balances, and transaction patterns. Converts unstructured documents into clean, standardized JSON for downstream processing.

Source: Multi-Format Financial Documents
PAYSLIP — Dec 2025
PDF
EmployerPT Maju Sejahtera
Base SalaryRp 12,500,000
AllowancesRp 2,500,000
DeductionsRp 1,850,000
Net PayRp 13,150,000
BANK STATEMENT — Nov 2025
IMG
Avg Monthly BalanceRp 18,200,000
Salary Credits (3mo)3 / 3 regular
Largest DebitRp 5,400,000
Normalized Output → Underwriting System
applicant_financial_profile
gross_monthly
15,000,000 IDR
payslip
98%
net_monthly
13,150,000 IDR
payslip
97%
employer_verified
true
cross-ref
95%
salary_regularity
consistent 3/3
bank
96%
avg_balance
18,200,000 IDR
bank
94%
dti_estimate
0.32 ratio
computed
91%
Forwarded to underwriting engine

AI Workflow Pipeline

1Document Upload2OCR Scan3LLM Understanding4Field Extraction5JSON Output6System Integration
Loan ApprovalUnderwritingHR AutomationAccounting

ROI & Returns

95%
Less Manual Data Entry

Eliminate nearly all manual data entry from financial document processing workflows.

15x
Faster Underwriting

Structured financial data feeds directly into decisioning systems — no waiting for manual processing.

$1.8M
Annual Cost Savings

Average enterprise savings from automating financial document processing across operations.

Risk & Compliance

Fraud Detection & Document Intelligence

The Challenge

Submitted documents can be edited, forged, or contain subtle inconsistencies. Manual review catches only a fraction of fraudulent documents — exposing the business to significant financial risk.

GPTBots Solution

AI analyzes document metadata, detects field mismatches, identifies abnormal patterns (font changes, pixel artifacts, inconsistent data), and flags suspicious cases for human review with detailed risk reports.

Fraud Detection Engine
0 PASS0 WARN0 FAIL
Running check 1 of 6...

AI Workflow Pipeline

1Document Intake2Metadata Analysis3Pattern Detection4Cross-Field Validation5Risk Score6Alert / Approve
FintechBankingInsuranceGovernment

ROI & Returns

40%
Fraud Loss Reduction

AI catches document forgeries, data inconsistencies, and manipulation that human reviewers miss.

500ms
Fraud Check Speed

Real-time fraud analysis on every document — no batch processing delays or manual queues.

$3.2M
Prevented Losses (Annual Avg)

Average annual fraud losses prevented across enterprise clients using document intelligence.

Operational Automation

Claims & Form Processing

The Challenge

Insurance claims, medical forms, and operational paperwork require manual data entry — creating backlogs, errors, and slow turnaround times that frustrate customers and inflate operational costs.

GPTBots Solution

AI extracts key fields from claims forms, medical documents, invoices, and receipts. Auto-fills downstream systems, validates data integrity, and routes exceptions for human review.

Input: Insurance Claim
Claim #INS-2025-08741
Policy HolderLee Wei Ming
Policy TypeMotor — Comprehensive
Incident Date28 Nov 2025
Claim AmountRM 4,200.00
Documents3 files attached
AI Extraction & Validation
Damage Type97%
Rear collisionverified
Repair Estimate94%
RM 4,200within range
Policy Coverage99%
Coveredconfirmed
Excess Amount98%
RM 400applied
Fraud Check96%
Clearno flags
AI Recommendation
APPROVE
Confidence: 96.8%
All documents verified. Damage consistent with reported incident. Amount within policy coverage limits. No fraud indicators detected.
Processing Time
1.8s
Extraction
0.9s
Validation
0.5s
Fraud Check
3.2s
Total

AI Workflow Pipeline

1Form Submission2OCR Extraction3Field Validation4Auto-Fill Systems5Exception Routing6Complete
InsuranceHealthcareGovernmentLogistics

ROI & Returns

80%
Reduction in Processing Time

Claims that took days to process manually are now completed in hours with AI automation.

50%
Operational Headcount Savings

Reduce dependency on manual processing teams — scale volume without scaling staff.

99%
Data Accuracy Rate

AI extraction with validation rules ensures near-perfect data integrity across processed forms.

Healthcare AI

MediClaim AI — Medical Document Intelligence

The Challenge

Medical claims pass through 8-12 manual touchpoints before resolution. Staff manually transcribe patient information, diagnosis codes, and billing details from handwritten forms — 15-20% error rate on ICD-10/CPT codes alone.

GPTBots Solution

Vision AI (ByteDance Seed 2.0 Lite) reads scanned medical documents and extracts structured data: patient info, diagnosis, ICD-10 codes, CPT codes, billing amounts. Context-aware OCR understands document semantics — not just template matching.

Scanned Medical Document
Hospital Bill
200 DPI
Patient NameSarah Chen Mei Ling
Patient IDPT-20847
PhysicianDr. Lim Wei Ling
Date of Service12 Mar 2026
DiagnosisUpper respiratory infection
ICD-10 CodeJ06.9
ProcedureOffice visit, established
CPT Code99213
Total AmountRM 450.00
CurrencyMYR
Vision AI → Structured Extraction
patient_name
Sarah Chen Mei Ling
99%
diagnosis
Upper respiratory infection
97%
icd10_code
J06.9
96%
cpt_code
99213
95%
billing_amount
450.00 MYR
98%
provider
Dr. Lim Wei Ling
99%
Ready for AI adjudication
<10s
Extraction
95%+
Accuracy
Verified
Code Match

AI Workflow Pipeline

1Document Upload2200 DPI Rendering3Vision AI Extraction4ICD-10/CPT Mapping5Confidence Scoring6Adjudication Ready
HospitalsInsuranceTPAHealthcare Networks

ROI & Returns

<10s
Extraction Time per Page

Vision AI reads and extracts structured data from scanned medical documents in under 10 seconds.

95%+
Field Extraction Accuracy

Context-aware vision model understands medical document semantics with near-human accuracy.

85%
Processing Time Reduction

Claims processing cycle reduced from 30+ days to 1-3 days with AI-powered extraction.

Computer Vision AI

Container Defect Detection AI

The Challenge

Manual container inspections take 15-30 minutes per unit, are inconsistent between inspectors, and miss subtle damage — leading to disputed liability, delayed shipments, and safety risks across port operations.

GPTBots Solution

Upload a container photo and AI draws bounding boxes around all detected damage areas. Each defect is classified using ISO 9897-1 CEDEX codes — location, component, damage type, and severity. Low-confidence detections are flagged for human review. Full JSON report available for download.

AI Vision — Defect Detection
Container with AI-detected defects — corrosion, cracks, and dents marked with bounding boxes
20/02/2026 13:16
BytePlus Seed-2 Vision
Minor
Major
Severe
ISO 9897-1 CEDEX Classification
Code
Location
Component
Damage
Severity
1. CO
Left Panel
Panel
Corrosion
Major
2. CK
Top Rail
Rail
Crack
Severe
3. CK
Mid Panel
Panel
Crack
Severe
4. CK
Lower Panel
Panel
Crack
Major
5. DB
Bottom Panel
Panel
Dent/Bent
Minor
AI Confidence Scores
1. CO
94%
2. CK
91%
3. CK
89%
4. CK
92%
5. DB
96%

AI Workflow Pipeline

1Upload Photo2AI Vision Detection3Bounding Box Overlay4ISO 9897-1 Classification5Confidence Scoring6Report / Review
Shipping LinesPort OperationsLogisticsInsurance

ROI & Returns

90-95%
Detection Accuracy

BytePlus Seed-2 multimodal vision achieves near-expert accuracy on container damage classification.

80%
Faster Inspections

Reduce container inspection time from 15-30 minutes to under 3 minutes with AI-assisted detection.

3x
Consistency Improvement

Standardized ISO 9897-1 classification eliminates inspector-to-inspector variance.

The Transformation

Manual processing vs AI document intelligence.

Before GPTBots
Document Processing
20-30 min per document, manual data entry
Accuracy
85-90% with human fatigue errors
Fraud Detection
~40% catch rate, review-dependent
Daily Capacity
80-120 documents per operator
Cost per Document
$3.50-5.00 with labor costs
Format Support
Rigid templates, manual adaptation
After GPTBots
Document Processing
1.2 seconds AI extraction, auto-structured
Accuracy
99.2% with AI + LLM verification
Fraud Detection
~92% catch rate, real-time analysis
Daily Capacity
50,000+ documents, fully automated
Cost per Document
$0.08-0.15 with AI processing
Format Support
Any format, auto-detected layout
Platform-Wide Impact

Total OCR & IDP platform ROI.

Combined returns across all OCR & IDP use cases deployed enterprise-wide.

10x
Faster Document Processing

Replace hours of manual data entry with AI that extracts, validates, and structures in seconds.

90%
Less Manual Processing

Automate the vast majority of document handling — only true edge cases need human attention.

99.2%
Extraction Accuracy

OCR + LLM verification consistently outperforms human accuracy across document types.

40%
Fraud Risk Reduction

Intelligent document analysis catches inconsistencies and forgeries at scale.

$2.5M
Avg. Annual Enterprise Savings

Combined savings from reduced headcount, faster processing, and prevented fraud losses.

50x
Volume Scalability

Handle 50x document volume without proportionally scaling your operations team.

Transform your document workflows

See how AI-powered OCR and document intelligence can eliminate manual processing, reduce fraud, and accelerate decisions.