Scanner-to-SQL • AI Document Management • Neural Translation

Intelligent Document Processing & Cognitive AI-DMS

Conventional Document Management Systems act as passive file cabinets—storing static PDFs that remain invisible to SQL queries. Nisarga’s Intelligent Document Processing (IDP) & AI-DMS Platform connects directly to high-speed production scanners, stores immutable archival masters in WORM Object Vaults, executes 99.9% Precision Tabular Extraction straight into normalized RDBMS tables, and performs layout-preserving Neural Machine Translation (NMT) across 22+ Indic and global languages.

140+ PPM

Scanner Ingestion

TWAIN / ISIS / Hot-Folder

99.9%

Table-to-SQL Fidelity

ACID RDBMS Persistence

22+ Scripts

Neural Translation

IndicTrans2 + NLLB-200

ISO 19005

PDF/A-3b WORM Vault

SHA-256 Tamper Seal

View Scanner-to-DB Architecture

LIVE SCANNER-TO-RDBMS & NMT TELEMETRY

BATCH #4092

OPTICAL SCAN STREAM → WORM DMS → POSTGRESQL + NMT 300/600 DPI TIFF

TRANSACTIONAL DMS & NMT COMMIT LOG LATENCY: 410ms

INSERT INTO dms.invoice_line_items (doc_uuid, row_idx, hsn, net_amt)

NMT_ENGINE: IndicTrans2-1B + LoRA → BLEU 64.8 (Layout Preserved)

Unified Hardware-to-Database Pipeline

From Raw Scanner Output to Queryable SQL & Translated Archives

Built natively around our 99.9% Precision Extraction Engine, Nisarga’s AI-DMS eliminates the disconnect between physical scanning bureaus, document repositories, relational databases, and multilingual business teams.

CAPABILITY 01 • INGEST & VAULT

High-Speed Scanner Ingestion & Immutable WORM AI-DMS

Direct hardware integration with production rotary, ADF, and overhead planetary book scanners (Kodak Alaris, Fujitsu fi-Series, Canon imageFORMULA, Zeutschel) via TWAIN, ISIS, SANE, and watched SMB/SFTP hot-folders.

Stream Conditioning: Automated barcode/patch-code batch separation, blank-page drop, ultrasonic double-feed recovery, and 300/600-DPI TIFF-to-PDF/A-3b transcoding.
Cryptographic WORM Storage: Every scanned document receives a SHA-256 content hash, RFC 3161 timestamp, and is committed to S3 Object-Lock (Write-Once-Read-Many) storage with hierarchical taxonomy auto-filing.
Granular Access Governance: Role-Based (RBAC) and Attribute-Based Access Control (ABAC), automated PII redaction overlays, and legal-hold retention schedules.

TWAIN / ISIS Collector • ISO 19005 PDF/A-3b • S3 Object Lock WORM

CAPABILITY 02 • 99.9% TABLE AI

99.9% Precision Tabular & Key-Value Extraction

Powered by the same multi-modal architecture detailed on our Precision Extraction page, the DMS automatically parses complex, borderless, nested, and multi-page tables without human templates.

2D Spatial & Graph Reconstruction: Combines LayoutLMv3, DETR Table-Transformer, and Vision-Language Models (Qwen2.5-VL / Pixtral) to resolve spanned headers, rotated cells, and multi-page line-item continuations.
Grammar-Constrained FSM Decoding: Token logits are masked via Context-Free Grammar (CFG) state machines so every extracted row strictly conforms to target database column data types (DECIMAL(14,2), DATE, UUID).
Algebraic Cross-Footing Critic: Verifies row-level and column-level arithmetic invariants before any record is committed to the database.

LayoutLMv3 + DETR + VLM Consensus Read 99.9% Spec →

CAPABILITY 03 • POLYGLOT DB PERSISTENCE

Automated Relational (RDBMS) & Vector Database Storage

Extracted tables and entities do not sit trapped in JSON files—our Change-Data-Capture (CDC) persistence engine normalizes and writes them directly into production relational schemas with full parent-child foreign-key integrity.

Normalized 3NF Relational Mapping: Automatically populates parent document header tables and child line-item tables in PostgreSQL, Oracle 19c/23ai, Microsoft SQL Server, or MySQL using idempotent ACID transactions.
Cell-Level Bounding-Box Provenance: Every SQL row stores a source_bbox_json coordinate pointer back to the exact pixel region in the WORM PDF/A file—enabling one-click visual audit verification from any BI dashboard.
Hybrid Full-Text + Vector Indexing: Simultaneously indexes dense semantic embeddings (BGE-M3 in Qdrant / pgvector) and BM25 lexical inverted indices (OpenSearch) for sub-50ms natural-language SQL + RAG querying.

PostgreSQL • Oracle • Qdrant Vector DB • OpenSearch BM25

CAPABILITY 04 • MULTILINGUAL NMT

Context-Aware & Layout-Preserving Language Translation

Physical archives across India and global operations frequently contain regional Indic scripts, mixed-language code-switching, or foreign commercial contracts. Our AI-DMS translates both the structured database records and the visual document itself.

22+ Indic & 100+ Global Languages: Fine-tuned IndicTrans2, NLLB-200, and domain-adapted LLM translation models supporting Telugu, Hindi, Tamil, Kannada, Marathi, Malayalam, Bengali, Gujarati, Urdu, Arabic, German, Japanese, and English.
Domain Glossary & Named-Entity Lock: Enforces strict terminology dictionaries so legal statutes, medical SNOMED codes, cadastral survey numbers, and proper nouns are transliterated or preserved without semantic drift.
Visual Layout Reconstruction: Re-renders translated text directly inside the original bounding-box coordinates and table cells—generating a side-by-side bilingual searchable PDF/A alongside dual-language SQL columns.

IndicTrans2 + NLLB-200 • Glossary Constraints • Bilingual PDF/A Render

Deterministic Schema Persistence

Inside the Polyglot Storage Engine: Document-to-SQL Mapping

Every scanned batch is atomically decomposed into four synchronized storage representations—ensuring zero data loss, relational queryability, and multilingual search.

TABLE 01: dms_document_registry PRIMARY KEY

doc_uuidUUID PK

scanner_station_idVARCHAR(32)

s3_worm_uriTEXT NOT NULL

sha256_checksumCHAR(64)

source_languageCHAR(5) ['te-IN']

ensemble_confidenceNUMERIC(5,4)

retention_untilTIMESTAMPTZ

Tracks physical scanner lineage, WORM storage URI, cryptographic tamper seal, and lifecycle policy.

TABLE 02: dms_extracted_table_rows 99.9% AI EXTRACTED

row_idBIGSERIAL PK

doc_uuidUUID FK → registry

page_no / row_indexINT / INT

normalized_columnsTYPED SQL COLS

math_check_passedBOOLEAN [TRUE]

cell_bbox_coordsJSONB [x0,y0,x1,y1]

token_logprob_minFLOAT4 [0.9994]

Stores de-normalized & 3NF tabular line items with pixel-level bounding-box provenance for instant audit click-back.

TABLE 03: dms_multilingual_corpus NMT + PGVECTOR

segment_idUUID PK

doc_uuidUUID FK → registry

source_text_nativeTEXT (UTF-8)

translated_text_enTEXT (NMT Verified)

glossary_terms_lockedTEXT[]

bge_m3_embeddingVECTOR(1024)

bilingual_pdf_uriTEXT

Enables cross-lingual semantic search: query in English and retrieve exact clauses from regional-language scans.

Enterprise Reference Blueprint

Logical Architecture: AI-DMS, Tabular Extraction & Neural Translation

A seven-layer sovereign architecture engineered to ingest millions of physical scanner pages, extract 99.9% accurate relational tables, translate across languages, and serve enterprise analytics.

SYSTEM ARCHITECTURE BLUEPRINT v5.0

Nisarga Cognitive AI-DMS & Multilingual Tabular Persistence Fabric

Includes 99.9% Precision Extraction Core → IndicTrans2 + vLLM FP8

LAYER 01 • EDGE CAPTURE

Physical Scanner & Capture Station

High-Speed ADF & Planetary Scanners
TWAIN / ISIS / SANE Agent Bridge
Barcode / Patch-Code Batch Splitter
STN Deskew, Despeckle & Dewarp

Output: 300/600 DPI Lossless TIFF / PNG

LAYER 02 • WORM VAULT

Immutable AI-DMS Core Repository

MinIO / Ceph S3 Object-Lock (WORM)
ISO 19005-3 (PDF/A-3b) Generator
SHA-256 + RFC 3161 Timestamping
Zero-Shot Taxonomy Auto-Classifier

Version Control • Legal Hold • RBAC/ABAC

LAYER 03 • 99.9% EXTRACTION

Precision Tabular & Entity Engine

DocLayout-YOLO + DETR Table Graph
Qwen2.5-VL + LayoutLMv3 Ensemble
Outlines / XGrammar FSM Decoder
Algebraic Cross-Footing Critic Agent

99.92% Verified Field & Cell Fidelity

LAYER 04 • NEURAL NMT

Layout-Preserving Translation Hub

FastText / Vision Script Identification
IndicTrans2 (22 Indic) + NLLB-200
Domain Glossary & NER Constraint Lock
BBox-Aligned Bilingual PDF/A Composer

Zero Semantic Drift • Side-by-Side Render

LAYER 05 • POLYGLOT DB

Relational, Vector & Search Persistence

RDBMS (ACID): PostgreSQL / Oracle / MS SQL 3NF tables • Vector DB: Qdrant / pgvector (1024-d BGE-M3) • Lexical Search: OpenSearch BM25 with Indic/Multilingual stemmers.

Debezium CDC Stream • Sub-50ms Hybrid Query

LAYER 06 • HITL WORKBENCH

Bilingual Review & Active Learning

Synchronized 3-pane UI: Original Scan + Extracted SQL Table Grid + Translated Overlay. Low-confidence tokens (< 0.999) highlight in amber; operator edits trigger LoRA adapter fine-tuning.

Calibrated Logprob Routing (< 3% Manual Touch)

LAYER 07 • ENTERPRISE EGRESS

NL2SQL Copilot, BI & ERP Connectors

Cross-lingual RAG & Text-to-SQL interface, JDBC/ODBC BI connectors (PowerBI / Tableau / Superset), and real-time webhooks to SAP S/4HANA, Oracle Fusion, and e-Governance portals.

REST / GraphQL / FHIR R4 / SAP BAPI

DMS Generation Comparison

Why Passive Folder Repositories Fail Modern Enterprises

Comparing traditional network-folder / ECM repositories against Nisarga’s AI-DMS with integrated 99.9% tabular extraction and neural translation.

System Capability	Legacy DMS / ECM (SharePoint / Alfresco + Basic OCR)	Nisarga Intelligent AI-DMS + Precision IDP
Scanner Output Handling	Manual file uploads or basic hot-folders requiring human operators to type index metadata fields by hand.	Zero-touch TWAIN/ISIS ingestion, neural deskew/inpainting, SHA-256 WORM locking, and autonomous zero-shot classification.
Tabular Data & Database Storage	Stores opaque PDF blobs only; line-item tables inside documents cannot be queried via SQL or joined with ERP tables.	Extracts multi-page tables at 99.9% accuracy and writes normalized rows directly into PostgreSQL / Oracle / SQL Server with ACID guarantees.
Multilingual & Regional Scripts	No native translation; regional Indic or foreign-language scans remain unsearchable by English-speaking analysts.	Embedded IndicTrans2 & NLLB-200 translates 22+ Indic & 100+ global languages with domain glossary locks and bilingual PDF/A rendering.
Search & Analytics Paradigm	Exact keyword match only; fails if OCR misreads a single character or if the query uses a synonym or different language.	Tri-modal retrieval: Direct SQL queries on extracted tables + BM25 lexical search + Cross-lingual BGE-M3 Vector RAG with bounding-box citations.