Extract structured data from complex PDFs, invoices, contracts, and scans automatically.
We build production-grade document intelligence pipelines combining computer vision, layout analysis, and generative validation to process messy, multi-page business documents with 99%+ accuracy.
Listening for incoming event triggers via authenticated REST webhooks and stream consumers.
The high cost of manual document transcription
Valuable business transactions are locked inside static PDFs, scanned paper, and chaotic vendor invoice templates. Skilled financial and legal analysts spend hours manually copying numbers, dates, and tables into databases.
Manual data entry costs of $5-$15 per invoice or contract across thousands of monthly files
Costly accounting errors resulting from missed line items, incorrect tax calculations, and typos
Slow processing cycles creating vendor payment friction and missed early-payment discounts
Off-the-shelf OCR tools failing on handwriting, low-resolution scans, and multi-page nested tables
Deterministic 4-Tier Architecture Pipeline
We design modular, loosely-coupled architectures with automated validation, transactional rollbacks, and complete audit observability.
Data Inputs & Webhooks
- Vendor Email Inboxes
- Cloud Storage Buckets (S3 / GCS)
- ERP Upload Portals
- Scanned Image Feeds
Ingestion & Sanitization
Document Normalizer: format conversion, deskewing, resolution enhancement, and PII masking.
State Machine & Engine
Hybrid Vision & LLM Extractor: LayoutLM / vision-augmented prompt parsing, mathematical reconciliation, and confidence scoring.
Outputs & Synchronized Actions
- ERP / Accounting Ingestion
- Human Review Queue (Confidence < 95%)
- Searchable Document Warehouse
- Audit Log
Connects directly to your existing systems with zero need to rip-and-replace your existing stack.
Document Intelligence Capabilities
Targeted implementation streams built specifically for high reliability, strict data compliance, and operational scale.
Multi-Page Table & Line-Item Extraction
Extracting complex tabular line items across page breaks, accurately associating SKU codes, descriptions, quantities, and unit prices.
Mathematical 3-Way Reconciliation
Verifying extracted sub-totals, tax percentages, and totals using deterministic calculation rules before database commit.
Human-in-the-Loop Review Console
An intuitive web interface displaying the original PDF side-by-side with extracted fields and visual bounding box overlays for rapid verification.
Automated Fraud & Duplicate Detection
Detecting modified fonts, altered totals, and duplicate invoice numbers across historical records to prevent erroneous payments.
Why hire CodeSelf for this use case.
We operate as your dedicated technology implementation partner with complete transparency, full IP handover, and zero platform markups.
What you receive upon completion.
Every engagement concludes with complete intellectual property handover, production source code, and measurable business outcomes.
Production Technical Assets (100% IP Owned)
Quantifiable Operational ROI
From architecture blueprint to production launch.
Transparent, sprint-based delivery with weekly demonstrations and continuous integration directly into your staging environments.
Document Sample Collection & Taxonomy
Gather representative samples of invoices, contracts, or forms and define the target JSON schema.
Preprocessing & Extraction Architecture
Build image normalization pipelines, layout analysis models, and confidence scoring mechanisms.
ERP Connector & Verification Console
Deploy side-by-side human validation interface and bi-directional ERP accounting integration.
Accuracy Benchmarking & Deployment
Test extraction accuracy on 500+ historical documents, tuning edge cases until achieving 99%+ accuracy.
Common questions decision-makers ask before kicking off.
How accurate is the extraction on messy or low-resolution scans?+
What document formats are supported?+
How does the system integrate with our accounting software?+
Can the system detect fraudulent or duplicate invoices?+
Explore adjacent use cases in our ecosystem.
Knowledge Management
We build enterprise knowledge retrieval systems that index Confluence, Notion, Google Drive, and internal code repositories into an authoritative semantic search engine with zero hallucinations and strict access control.
Operations Automation
We build resilient backend automation workflows that synchronize fragmented enterprise tools, eliminate manual data entry, enforce compliance approvals, and guarantee transaction completion.
Customer Support
We build AI support engines that resolve routine inquiries directly from verified internal knowledge bases, while equipping human agents with instant customer history, order context, and drafted replies for complex cases.
