AI Solutions (Operations)

AI Document Processing—Classify, Extract, Validate, Export Without Re-Keying

Teenva AI & Digital Ventures builds intelligent document processing (IDP) for operations, finance, legal, and HR teams from Bangalore, India. Upload PDFs, scans, and emails—Teenva classifies document type, extracts fields with OCR + ML, routes low-confidence rows to human review, and exports JSON to your ERP, Zoho, or workflow automation—without re-keying invoices, contracts, and application forms.

Manual data entry scales linearly with document volume. Teenva IDP cuts touch time per document, improves accuracy with validation rules, and indexes approved content into an AI knowledge base for search. For AP-heavy flows, see also AI invoice processing.

AI document processing intelligent document processing by Teenva AI

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AI document processing—OCR, extraction, validation, and export for operations documents.

Hub: AI solutions · Domain: Operations & Management

sales@teenvaai.com · +91 9572020107

Document types we process

TypeTypical fields extracted
Invoices / billsVendor, GSTIN, line items, tax, total, due date
Purchase ordersPO number, SKU, qty, delivery date
GRN / delivery notes (scoped)Received qty vs PO match fields
Contracts (scoped)Parties, effective date, renewal, key clauses (indexed)
Application formsApplicant fields, checkboxes, signatures present
ID / compliance docs (scoped)Handoff to KYC patterns
Bank statements (scoped)Transactions for categorization
Email attachmentsAuto-ingest from shared mailbox (scoped)

Templates are trained or configured per layout—not one generic parser for every vendor format.

IDP pipeline

StageWhat happens
IngestUpload, email, SFTP, API multipart
ClassifyInvoice vs PO vs contract → workflow route
OCR / layoutText + table cells from scan or native PDF
ExtractField models + LLM assist on unstructured clauses (scoped)
ValidateRules: GST math, date order, mandatory fields
Human reviewQueue for confidence < threshold
ExportWebhook, CSV, ERP API post
ArchiveSearchable store for RAG / knowledge base
AI document processing review UI extracted fields validation mockup

Features we implement

  • Multi-channel ingest — Drag-drop UI, email listener, batch ZIP
  • Template studio (scoped) — Label fields on sample docs; few-shot per vendor
  • Table extraction — Line items with column alignment on messy PDFs
  • Handwriting (scoped) — Forms with pen input where quality allows
  • Duplicate detection — Same invoice number blocked
  • Audit trail — Original file, model version, reviewer edits
  • Confidence scores — Per field; route to review selectively
  • India GST (scoped) — GSTIN, HSN, CGST/SGST/IGST validation rules
  • SLA dashboard — Docs/hour, straight-through processing rate
  • API-first — Embed in your custom ops portal

Architecture

  1. Document source (upload, email, SFTP)

  2. Preprocess (deskew, DPI, split multi-page)

  3. Classifier → extraction models per doc type

  4. Validation rules engine

  5. Review UI (human) OR auto-approve

  6. Export → ERP / accounting / workflow trigger

  7. Optional index → enterprise search / knowledge base

AI document processing IDP architecture diagram
  • Private deployment — Documents stay in your VPC; extraction models on-prem or private cloud (scoped)
  • Not sending full contract PDFs to public chat APIs in default architecture

Use cases by team

TeamOutcome
Accounts payableInvoice → accounting system with 3-way match hook (scoped)
ProcurementPO and quote comparison fields extracted
Legal / compliance (scoped)Contract metadata + clause search index
HR onboarding (scoped)Form data into HRIS
Operations / logistics (scoped)BOL, customs docs field extract
Customer onboarding (scoped)KYC doc handoff with extracted JSON
AI document processing use cases AP contracts HR forms

OCR alone misses tables and GST math errors. We ship validation + review UI + ERP export—so straight-through processing is trustworthy, not optimistic.

Document processing vs other operations AI

ProductFocus
AI document processingExtract structured data from files
Workflow automation AIRoute tasks and approvals after data exists
AI knowledge baseSearch and Q&A on approved content
Meeting intelligence AISummarize meetings and action items
AI invoice processingAP-specialized invoice IDP

Together: IDP extracts → workflow approves → knowledge base indexes contracts → staff search.

Why Teenva AI

  • IDP + integrations

    Not standalone OCR demo; export to systems you use
  • India documents

    GST invoices, multi-language headers (scoped)
  • Human-in-the-loop

    Review UX built in, not bolted on later
  • Accuracy metrics

    Field-level precision/recall on holdout set
  • Ops

    Managed IT support when vendor layouts change
Why Teenva AI for document processing IDP

Delivery process

AI document processing implementation process
  1. Discovery

    Doc types, volumes, target systems, accuracy bar

  2. Sample collection

    50–200 docs per type (anonymized)

  3. Baseline

    Manual entry time and error rate

  4. Classifier + templates

    Top doc types first

  5. Validation rules

    Business logic with finance/ops sign-off

  1. Review UI

    Roles, queues, keyboard shortcuts

  2. Export integration

    Staging then production ERP post

  3. Pilot

    One vendor or department; measure STP rate

  4. Expand

    New layouts, email ingest, knowledge index

Invoice field extraction highlight document processing

Frequently asked questions

We build custom or integrate—you own templates and hosting; hybrid common.

Scoped—quality-dependent; often review-required.

Scoped for clause tagging; default IDP uses layout models + rules for structured fields.

Yes—VPC or on-prem inference (scoped) for confidentiality.

Template learning from 5–10 samples or manual template draw (scoped).

India GSTIN format, tax sum checks (scoped)—not statutory filing.

40–80%+ depending on layout consistency; measured in pilot.

Yes—webhook to workflow automation.

English + Hindi headers common (scoped); per-language eval.

8–12 weeks MVP (1–2 doc types + review UI + export) with sample corpus.

Build your document processing pipeline

Classify, extract, validate, and export—invoices, contracts, and forms with human review built in.

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