OCR & Document AI

Extract structured data from invoices, forms, IDs and reports with 95%+ accuracy.

We combine best-in-class OCR with LLM validation and human review — turning unstructured documents into clean, structured data your systems can act on.

Overview

Traditional OCR fails on real-world documents: skewed scans, mixed languages, handwriting, tables and stamps. T7 Solution combines layout-aware OCR (Azure Document Intelligence, Google Document AI, Textract) with LLM post-processing to reach 95%+ field accuracy.

Every pipeline includes a confidence-based routing layer: high-confidence extractions go straight to your ERP, low-confidence ones surface in a review UI for a human to approve in one click.

We handle invoices, POs, KYC documents, medical prescriptions, insurance claims, shipping manifests, contracts and bespoke forms.

Outcomes clients see

95%+
Field-level extraction accuracy
80%
Reduction in manual data entry
10x
Faster document turnaround

What we deliver

Layout-Aware Extraction

Tables, checkboxes, key-value pairs, stamps and signatures preserved in structure.

LLM Validation

Cross-check extracted fields against business rules and historical data.

Handwriting & Mixed Scripts

English + Indic scripts, cursive handwriting and multi-language documents.

Human-in-the-Loop

Review UI for low-confidence extractions with keyboard-first workflows.

ERP/DMS Integration

Push to SAP, Oracle, Tally, Zoho Books, SharePoint and custom systems.

Audit & Compliance

Full lineage: original doc → OCR → validation → approval → system of record.

Use cases

Invoice Automation (AP)

3-way match, GL coding, GST validation and posting to your ERP.

KYC & Onboarding

PAN, Aadhaar, passport, utility bill extraction with face-match and liveness.

Medical Records

Prescriptions, lab reports and discharge summaries into structured EHR data.

Insurance Claims

Claim forms, bills and medical evidence extracted and pre-adjudicated.

Client story

Global manufacturing group

Manufacturing / Supply chain

74%
Straight-through invoice processing
$0.08
Cost per invoice processed
3 days
Faster month-end close
Challenge

A 12-plant manufacturer was processing 40,000+ supplier invoices a month across 4 currencies and 6 ERPs. AP clerks spent 60% of their time on data entry, and month-end close routinely slipped by 4–5 days.

Solution

T7 shipped a document AI pipeline that ingests invoices from email, EDI and portal drops, extracts line items with layout-aware OCR, validates against POs and GST, and posts straight into SAP for high-confidence matches. Exceptions surface in a review UI where AP clears them in seconds.

Result

Straight-through processing crossed 74% within 6 months, month-end close moved to day-2, and the AP team was redeployed onto vendor negotiation and cash-flow work.

"We used to think AP automation meant more OCR. T7 showed us it meant fewer humans touching invoices — and gave our finance team back an entire week every month."

Group CFO, Manufacturing conglomerate

How we work

Step 1

Sample & Baseline

We benchmark 3+ OCR engines on your actual documents.

Step 2

Pipeline Build

Extraction + LLM validation + review UI in 3–5 weeks.

Step 3

Integration

Push to ERP, DMS or workflow tool with audit trail.

Step 4

Continuous Learning

Corrections feed back into the model — accuracy compounds.

Tech we use

Azure Document IntelligenceGoogle Document AIAWS TextractPaddleOCRTesseractGPT-4 VisionClaudeLabel Studio

Frequently asked questions

How is this different from Google Document AI alone?

Cloud OCR is a component. We add LLM validation, business rules, human review and system integration — which is where 90% of the value sits.

Do you handle handwritten documents?

Yes, including Indic scripts and mixed-language forms. Accuracy varies with legibility; we tune per document class.

Where is document data stored?

In your cloud (Azure, AWS, GCP) or on-prem. We support GDPR, HIPAA and DPDP Act requirements.

How is accuracy measured?

Field-level precision/recall on a labelled test set. We report and monitor it in production — not just at go-live.

Can you extract data from tables and line items?

Yes — table extraction is a first-class capability. We preserve row/column structure, handle merged cells, multi-page tables and reconstruct line items into normalised JSON ready for your ERP.

What document volumes can the pipeline handle?

From a few hundred to millions per month. We autoscale on serverless queues and typically process a page in under 3 seconds end-to-end including LLM validation.

Do you integrate with SAP, Oracle or Tally?

Yes — we ship connectors for SAP (IDoc/OData), Oracle Fusion, Tally, Zoho Books, QuickBooks and Microsoft Dynamics. Custom ERPs are supported via REST, SFTP or database writes.

How does the human-in-the-loop review work?

Low-confidence fields surface in a keyboard-first review UI with the source document beside the extracted values. A reviewer typically clears 200–400 documents per hour, and every correction feeds back into the model.

Can you validate against business rules — GST, tax, PO match?

Yes. We layer rule engines on top of extraction: 3-way PO match, GSTIN/PAN checksum, duplicate detection, budget checks and tolerance thresholds are all configurable per document class.

What does it cost per document?

Typical all-in cost lands between $0.02 and $0.15 per page depending on document complexity and cloud OCR choice. We publish a live cost dashboard so finance sees unit economics from day one.

OCR & Document AI by location

We deliver ocr & document ai across our core markets, with on-site discovery and local timezone support.

Ready to Build Your AI Product?

Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.

  • · AI feasibility & architecture review
  • · Product / MVP roadmap
  • · Integration & automation strategy