Document AI Services
We build Document AI that turns invoices, forms and contracts into structured, usable data. As a document AI company, Source Code Lab delivers intelligent document processing and AI data extraction that runs in production across 13 industries, removing manual data entry and giving teams back hundreds of hours. We own the full lifecycle: scope, build, harden and operate.
Document AI Services We Offer
Our Document AI services cover the full pipeline of intelligent document processing: reading documents, extracting the right fields, validating the output and pushing clean data into your systems. Every solution is built around your document types and your accuracy requirements, with human review designed in.
Intelligent Document Processing
We read and understand invoices, forms and contracts regardless of layout, turning messy documents into clean, structured data.
AI Data Extraction
Extract the exact fields you need, from line items to signatures, with confidence scores on every value.
Invoice and Receipt Automation
Automate accounts payable by capturing invoices and receipts, matching them to orders and pushing them to your finance system.
Contract and Form Intelligence
Extract clauses, terms and key fields from contracts and forms, with source traceability back to the original document.
Workflow Integration
We push validated data straight into your ERP, CRM or database through APIs, so documents flow into work without re-keying.
Accuracy Monitoring and Support
Confidence thresholds, human review and continuous learning keep extraction accurate as document formats change.
What Makes Our Document AI Reliable
Most document tools break the moment a layout changes. Our Document AI is engineered for the real world: varied formats, poor scans and edge cases, with accuracy you can trust.
Layout-independent extraction
Finds the right fields whether the document is a clean PDF, a scan or a photo, without a rigid template.
Understands, not just reads
Goes beyond OCR to interpret what a field means, so line items, totals and terms are captured correctly.
Confidence on every field
Each extracted value carries a confidence score that decides what runs automatically and what gets reviewed.
Human in the loop
Low-confidence cases route to a person, so accuracy stays high on the documents that matter most.
Learns from corrections
When a human fixes a field, the system learns, so the same mistake is not repeated next time.
Traceable and auditable
Every extracted value links back to its place in the source document, with a full audit trail.
Document AI We Have Shipped, By Industry
We do not sector-lock. These are real document and data systems, running for real operators. Each links to the full case study.
Payroll and HR document processing
An AI-native HRMS that replaced spreadsheets and manual document handling for a 1,000-employee operation.
Antilla Lifesciences case study HospitalsCommission data automation
Referral data captured and processed across 45 specialities, cutting the cycle from 23 days to minutes.
KD Hospital case study Oil and GasField document and update capture
An agent that reads field updates arriving as notes, email, WhatsApp and photos, tracking 35,000+ parts.
Deep Industries case study JewelleryProspect data extraction
Automated scraping and enrichment of prospect data for a USD 50M jeweller's sales engine.
Suvarnakala case study iGamingKYC and document verification
KYC agents that verify identity documents at scale as part of a 10-agent operations system.
MagicianBet case study More25+ clients across 13 industries
From manufacturing to logistics to financial services, see the full portfolio of Document AI in production.
All case studiesOur Document AI Process
Every engagement runs one shape, whatever the scope. The third phase is what separates document processing your business depends on from a fragile prototype.
Scope and sample
A paid discovery week. We collect your real document samples, define the fields and accuracy targets, then give you a fixed scope and price.
Prototype extraction
A working extraction pipeline running on your real documents in 2 to 6 weeks, so you see accuracy on your own data early.
Harden
Confidence thresholds, human review, exception handling and monitoring. The engineering that separates a prototype from reliable Document AI.
The phase that mattersOperate and hand over
We run and monitor the pipeline while your team learns it, then hand over docs and runbooks. You own the code from day one.
Our Document AI Tech Stack
We are model-agnostic. We choose the right vision and language models, extraction frameworks and infrastructure for your documents, your accuracy needs and your operating cost.
Models
Extraction
Data and storage
Integration and ops
Why Choose Us for Document AI
Production first, not pilots
We measure success by document pipelines that run in production and stay accurate. Our hardening phase is built into every engagement, not sold as an add-on.
Accuracy you can trust
Confidence scoring, human review and continuous learning are designed in, so you get clean data and know exactly what was auto-approved.
Engineer-led delivery
You talk to the engineers building your pipeline, not account managers relaying requirements. Every claim on this page maps to a real deployment.
Proof across 13 industries
From pharma HR documents to hospital commission data to field updates, we have shipped Document AI with measurable outcomes you can verify.
Real Document AI. Measurable Results.
How Much Do Document AI Services Cost?
Most Document AI projects reach first deployment in 2 to 6 weeks, with cost scoped to a fixed price before any build.
The final figure depends on how many document types you process, your volume, the systems the pipeline integrates with and your accuracy requirements. We never run open-ended retainers. After a paid discovery week you get a fixed scope and price, so you know exactly what you are committing to.
Document AI FAQs
Straight answers to what buyers ask before hiring a document AI company.
Book a strategy callDocument AI reads, understands and extracts structured data from documents.
It combines OCR, vision and language models to turn invoices, forms, contracts and reports into usable data, with accuracy checks and human review built in.
OCR only reads text; Document AI understands the document.
Traditional OCR converts images to text and breaks on varied layouts. Document AI extracts the right fields regardless of format, validates the output and flags low-confidence cases for review.
Invoices, forms, contracts and more, in almost any format.
We process invoices, purchase orders, receipts, forms, contracts, identity documents, reports and industry-specific paperwork, including scans, PDFs and photos.
High-confidence cases run automatically; uncertain ones go to a human.
We use confidence thresholds so accurate extractions are automated and low-confidence cases are reviewed. The system learns from corrections, so accuracy improves over time.
Most projects reach first deployment in 2 to 6 weeks, at a fixed scoped price.
Cost depends on document types, volume, integrations and accuracy requirements. We scope a fixed price after a paid discovery week, so there are no open-ended costs.
Ready to turn your documents into data?
Tell us which documents are slowing your team down. We will map the extraction pipeline and give you a fixed scope before any build.
Book a Strategy Call