OHO TECH•LOADING
PREPARING CLIENT APPLICATION
INITIALIZING PLATFORM ARCHITECTURE
How OHO TECH designs sovereign AI pipelines that extract structured data from identity documents and GST tax invoices in under 4.2 seconds with strict deterministic validation schemas and zero external data leaks.
Generative AI models are probabilistic by nature. In financial, medical, and identity workflows, a 1% hallucination rate on invoice GSTIN numbers or PAN identifiers can trigger regulatory penalties and reconciliation failures.
OHO TECH employs a dual-stage deterministic pipeline: high-resolution computer vision extracts raw text glyphs with bounding box coordinates, followed by a constrained parser that enforces exact schema validation before any database record is created.
Every extracted GSTIN number is verified against the official Luhn-based checksum algorithm before being approved for ledger posting.
Document uploads stream directly to private S3-compatible object storage via pre-signed URLs. An AMQP message triggers isolated PyTorch OCR workers running on Kubernetes pods.
Extracted tokens hydrate into typed TypeScript contracts, calculate spatial confidence scores, and persist to PostgreSQL within 4.2 seconds.
def process_document_payload(document_buffer: bytes, tenant_id: str) -> ExtractionResult:
# 1. Image preprocessing: deskew, normalize contrast, crop margins
preprocessed_img = image_preprocessor.normalize(document_buffer)
# 2. Extract OCR tokens with bounding boxes & confidence vectors
tokens = self_hosted_ocr_engine.detect_glyphs(preprocessed_img)
# 3. Apply deterministic regex schemas for PAN, Aadhaar, and GSTIN
validated_fields = {}
for rule in COMPLIANCE_SCHEMAS["INVOICE_V2"]:
match = rule.extract_and_validate(tokens)
if match.confidence < 0.88 or not match.is_checksum_valid():
return trigger_human_review_queue(document_buffer, tenant_id, match.reason)
validated_fields[rule.key] = match.value
return ExtractionResult(status="AUTO_VERIFIED", fields=validated_fields, latency_ms=1420)Combining self-hosted neural OCR with strict deterministic schema validation delivers rapid document automation while preserving 100% data sovereignty and zero hallucination risk.
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