Document Intelligence
Document Intelligence

Paper to structured data.
Automatically.

OCR + AI entity extraction + semantic search across every document in the system. Inbound invoices, supplier docs, contracts, certificates — all become structured, searchable, actionable data.

Request a Demo ← All Modules

OCR

multi-lang

Entity

extraction

Semantic

search

Auto-link

to txn

How It Works

Doc Intel Flow

Uploadany format
OCR+ layout
Extractentities
Matchcanonical
Indexsemantic
Usesearch + auto-link
Smart OCR
Smart OCR

Smart OCR

Read like a human.

OCR that understands document layouts — tables, multi-column, handwritten notes. Per-field confidence scoring; human review queue for uncertain extractions.

  • Layout-aware OCR (tables, columns)
  • Handwriting recognition
  • Per-field confidence scoring
  • Multi-language support
  • Stamp + signature detection
  • Continuous accuracy improvement
Entity Extraction
Entity Extraction

Entity Extraction

Find the meaningful bits.

AI identifies entities — vendor name, GSTIN, invoice number, line items, amounts, dates. Maps to canonical entities in the system; flags new entities for review.

  • Named entity recognition
  • Domain-specific entity types
  • Canonical entity matching
  • Confidence per entity
  • New entity flagging
  • Bulk-extract from doc batches
Semantic Search
Semantic Search

Semantic Search

Find by meaning. Not just text.

Search 'contracts with payment terms above 60 days' across thousands of contracts. Vector embeddings + semantic matching surface the right docs even with different wording.

  • Vector embedding-based search
  • Cross-document semantic queries
  • Natural language search
  • Filter by date, type, owner
  • Search across modules
  • Re-ranking by relevance

Every Feature

Complete capability matrix.

Click any capability to drill in.

Preview — available on requestRoadmap — planned within 12 months
Drill in

Layout-Aware OCR

Tables, multi-column layouts, mixed fonts, handwriting. Extracts as structured data with positional context preserved.

Drill in

Entity Recognition

AI identifies vendors, customers, products, amounts, dates, GSTINs, invoice numbers. Maps to canonical entities in your system.

Drill in

Semantic Search

Vector embedding-based search finds documents by meaning, not just keyword. 'Contracts ending in next 60 days' actually works.

Drill in

Auto-Match to Txn

Inbound invoice OCR auto-matches to open PO. Receipt OCR matches to invoice. Confidence scores guide automatic vs review-required paths.

Drill in

Review Queue

Low-confidence extractions queue for human review. Reviewers see original doc + extracted data; correct or accept in one click.

Drill in

Continuous Learning

Every correction improves the model. Vendor-specific quirks learned over time; accuracy goes up as document volume grows.

Drill in

Searchable Archive

Every uploaded doc becomes searchable — by content, metadata, entities, semantic similarity. Auditor-ready knowledge base.

Drill in

Privacy Preserving

Per-doc access controls inherit from source module. Sensitive contracts only visible to authorized users — search results respect permissions.

Drill in

Multi-Lingual

OCR and entity extraction work across English, Hindi, Tamil. Cross-language search retrieves Hindi docs from English queries.

Integrations

Works with everything else.

Every Doc Intel action flows into the other modules — no manual data re-entry, no reconciliation pain.

Doc Intel→Documents

Doc upload → OCR + index

Every doc searchable

Doc Intel→Procurement

Vendor invoice OCR → 3-way match

Auto-match to PO

Doc Intel→Party

Cert upload → entity extract

Auto-populate validity dates

Doc Intel→RPA

OCR pipeline trigger

Batch doc processing

Paper mill

Ready to modernize your mill?

See Papyrus BPApp
in your mill.

Book a personalized demo. We'll walk through every module relevant to your operation — from Deckle optimization to GSTR-3B compliance.

Request a DemoEmail us directly
CallRequest Demo