Document AI

Document AI & Data Extraction

Eliminate clerical backlogs and manual data entry errors. We engineer automated Document AI pipelines that combine computer vision, layout models, and LLM reasoning to extract nested tables, validate arithmetic, and sync clean records to your database.

What We Deliver

  • Automated multi-page PDF, invoice, and statement parsing pipelines
  • Table extraction and nested line-item structure normalization
  • Deterministic mathematical verification (checksums, line totals, tax rates)
  • Direct integration into PostgreSQL, NetSuite, QuickBooks, or custom ERPs
Human Oversight & Control

Exception Queue & Supervisor Review

Documents with low OCR clarity, anomalous figures, or failed mathematical checksums are routed to a split-screen supervisor review dashboard for fast human confirmation.

Delivery Methodology

How we build and deploy.

Structured engagement from initial process audit to live production monitoring.

01

Document Schema Definition

We define the exact target JSON schema, field types, required validations, and business logic.

02

OCR & Spatial Layout Extraction

We deploy specialized vision-language parsers capable of interpreting complex borderless tables and key-value blocks.

03

Deterministic Arithmetic Validation

We run algorithmic checks verifying that extracted sub-items sum correctly to reported invoice or balance totals.

04

ERP & Database Synchronization

Validated records are injected into your accounting system or application database via secure APIs.

05

Exception Interface Delivery

We deliver an intuitive human review dashboard highlighting low-confidence fields on the original document.

Problems Solved

Operational challenges we eliminate.

The Bottleneck

Clerical teams spending hours manually typing numbers from PDF invoices into software

Our Solution

We automate ingestion and extraction, delivering verified database records in seconds.

The Bottleneck

High rate of manual transcription errors causing payment disputes and ledger discrepancies

Our Solution

We run automated mathematical consistency checks before records are committed to databases.

The Bottleneck

Templates break every time a vendor modifies their invoice layout

Our Solution

Vision-language models understand document semantics dynamically without fragile coordinate templates.

Technical Depth

Under the hood.

Deep architectural rigor built for software engineers and technical decision-makers.

Vision-Language Table Extraction

Extracts multi-column financial tables across page breaks without losing row alignment or column headers.

Pydantic Schema Enforcement

Guarantees that every extracted date, currency amount, and string matches strict type definitions.

Bounding-Box Coordinate Mapping

Every extracted value retains exact spatial coordinates on the source PDF for rapid audit verification.

Secure Signed-URL Storage

Private storage buckets with short-lived signed URLs ensure sensitive financial and medical documents stay secure.

Common Use Cases

Where this applies.

Merchant Cash Advance Statement Parsing

Extracts deposits, daily balances, and risk factors from 6 months of bank PDFs in seconds (proven in Finject).

Accounts Payable Invoice Processing

Ingests vendor invoices, validates PO numbers, verifies line math, and creates bills in your accounting ledger.

Insurance & Claims Triage

Extracts policy numbers, claim amounts, and incident descriptions from scanned paperwork.

Legal Agreement Metadata Tagging

Extracts effective dates, renewal terms, indemnity limits, and governing law clauses from contracts.

Commercial Workflows

Related business use cases.

Why Lesscode

Verified delivery standards.

85% faster

Underwriting Acceleration

Finject MCA brokerage CRM with AI statement parsing

98% compliance

Brand-Compliant Social Reach

PostAutoPilot distributed social automation platform

$300K+

Client Value Delivered

Over 200+ projects shipped across SaaS, AI, and workflow automation

100% IP

Intellectual Property Guarantee

Clients own 100% of all custom code, prompt pipelines, and databases upon launch

Frequently Asked Questions

Common questions about document ai & data extraction.

Q.How does the system handle poor quality or scanned documents?

We run automatic image pre-processing (deskewing, contrast normalization, binarization) prior to vision model ingestion to maximize character clarity.

Q.What happens if a field cannot be extracted with confidence?

The document is flagged and routed to your human review queue with the ambiguous field highlighted on the source PDF.

Q.Can we export directly into our accounting software?

Yes. We build native connectors for QuickBooks, NetSuite, Xero, SAP, Salesforce, and custom SQL databases.

Selected Case Studies

Real software we have shipped.

New business / 2026

Have a process that should work better?

Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.