The first ensemble OCR platform built natively for Indian languages. Extract structured data from government documents with 95%+ accuracy and complete evidence mapping.
95%+
Extraction Accuracy
vs 60-70% single-engine
<5s
Per Page Processing
GPU accelerated
1000+
Documents/Hour
Horizontal scaling
10x
Cost Reduction
vs cloud APIs
Traditional OCR engines achieve only 60-70% accuracy on Indian government documents due to:
Industry Benchmark (ICDAR 2019)
Each component represents state-of-the-art in its domain. Together, they create a system that exceeds any single commercial OCR solution.
Native models for Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Gujarati, Punjabi, Marathi, Odia, Urdu
Multi-engine voting system combining PaddleOCR, TrOCR, and EasyOCR for error correction
Transformer-based OCR with adaptive binarization handles faded, yellowed, and low-quality scans
LayoutLMv3 understands text, position, and visual layout simultaneously for intelligent field extraction
AI-powered detection with contour analysis and color recognition for official document verification
Every extracted field linked to exact source coordinates with visual evidence for complete auditability
Head-to-head comparison on Indian document processing. Our native approach outperforms retrofitted solutions.
| Metric | Bharat OCROurs | GoogleDocument AI | AWSTextract | AzureForm Recognizer |
|---|---|---|---|---|
| Hindi OCR Accuracy | 91% | 82% | 75% | 78% |
| Degraded Documents | 88% | 70% | 65% | 68% |
| Field Extraction | 95% | 80% | 75% | 82% |
| Processing Cost | $ | $$$$ | $$$ | $$$ |
Native Indian Models
Not retrofitted translations
Trained on Indian Formats
Government document specific
Open Source Stack
No vendor lock-in
Our architecture combines the latest research from Baidu, Microsoft, and leading AI labs. Each model is selected for its specific strength.
PaddleOCR
Baidu 2024
TrOCR
Microsoft
LayoutLMv3
Microsoft
EasyOCR
Fallback
Production-ready architecture designed for enterprise deployment with complete audit trails and horizontal scaling.
Plugin Architecture
Every OCR engine, preprocessor, and extractor is swappable
Evidence-First Design
Complete audit trail with coordinate transforms preserved
Calibrated Confidence
Know exactly when to trust results vs. flag for review
Horizontally Scalable
GPU-batched processing with Kubernetes-ready deployment
From scanned document to verified JSON with complete evidence trail
01
Drop PDF or image
Supports degraded scans up to 20MB
02
AI extracts data
Ensemble OCR + LayoutLMv3 extraction
03
Verify with evidence
Click any field to see source location
04
Get structured output
JSON with confidence scores
Built to meet the strictest compliance requirements for processing sensitive government documents.
AES-256 Encryption
At rest and in transit
Complete Audit Trail
Every operation logged
GDPR Compliant
Data privacy first
Tamper Detection
PDF integrity checks
Unlike foreign cloud solutions, our platform is designed specifically for Indian government document formats, languages, and compliance requirements.