Turn invoices, receipts and forms into clean, structured data
We build OCR and LLM document-extraction pipelines that read your PDFs, scans and photos, validate every field, route the doubtful ones to human review, and push clean data straight into your accounting or ERP. Engineered in Kuala Lumpur, delivered across Malaysia and worldwide.
OCR + LLM extraction · validation rules · human-in-the-loop review.
A document pipeline engineered end to end
We don’t hand you a demo. We build the whole capture-to-export pipeline — OCR, extraction, validation, review and integration — and wire it into the systems you already run.
OCR capture layer
Ingest from email, a watched folder, Google Drive or a drop zone, then OCR PDFs, scans and phone photos — de-skewed and cleaned for accurate reading.
LLM field extraction
Language models pull the fields that matter — supplier, invoice number, dates, line items, tax and totals — from varied layouts, not fixed templates.
Validation-rules engine
Business rules check totals, tax, dates and supplier matches, and confidence scores flag anything doubtful before it can reach your books.
Human review interface
A queue where staff see the document and extracted fields side by side, correct exceptions in seconds and approve — with every edit logged.
Export & system sync
Mapped, validated records flow into QuickBooks, Xero, Sage, MYOB, SAP or your database — matched to your chart of accounts and tax codes.
Monitoring & audit trail
Dashboards on throughput, accuracy and exception rates, plus a full audit log of every extraction and correction for compliance.
We combine OCR engines, LLM extraction and document AI with a validation-rules layer, then export into the accounting and ERP systems you already use — model-neutral and chosen to fit your accuracy and data-sensitivity needs.
How we engineer a document pipeline
A disciplined build that starts from your real documents and ends with a tested, monitored pipeline in production.
Document pipelines we build
A sample of the extraction workflows teams ask us for — each tailored to their document types, rules and target systems.
Invoice OCR
Supplier invoices captured from email, extracted line by line, matched to POs and posted to accounting for approval.
Receipt OCR
Expense receipts and photos read into structured claims with amount, tax, date and category for reimbursement.
Resume screening
CVs parsed into structured candidate profiles — skills, roles, dates — ranked against a role and pushed to the ATS.
Contract extraction
Key clauses, parties, dates and renewal terms pulled from contracts into a searchable register with alerts.
Transparent scoping, fixed quotes
We don’t sell open-ended retainers. After a free scoping call we give a fixed quote before any build starts. A few factors drive that scope:
Extraction engineered for accuracy you can trust
OCR + LLM, not templates
We pair OCR with language models so extraction survives layout changes instead of breaking on every new format.
Human-in-the-loop by design
Confidence scoring and a review queue mean nothing doubtful reaches your books unchecked.
Integrated to your systems
Data lands mapped and validated in QuickBooks, Xero, Sage, MYOB, SAP or your database — not a CSV to re-import.
Security-first handling
Minimal retention, encrypted transfer, full audit trail and private or self-hosted options for sensitive documents.
Proven at scale
Part of 100+ workflows launched and 3,000+ hours saved — removing manual keying, not headcount.
KL-based, globally minded
Built in Kuala Lumpur, delivering document pipelines for clients across Malaysia and worldwide.
Where document processing connects
Document processing & OCR questions
What types of documents can you process?
Invoices, receipts, purchase orders, delivery notes, contracts, application forms, bank statements, ID documents and CVs — in PDF, scanned image or photo form. We handle both structured templates and messy, varied layouts, in single or multi-page batches, and can support multiple languages and mixed English and Bahasa Malaysia documents.
How accurate is the extraction, and what happens to low-confidence fields?
Every field is extracted with a confidence score and checked against validation rules — totals that must add up, dates in valid ranges, supplier names matched to your master list. Clean, high-confidence documents pass straight through; anything ambiguous or failing a rule is routed to a human review queue so a person confirms it before it reaches your accounting system. You decide the confidence threshold.
Which accounting and ERP systems can you export to?
We export validated data into QuickBooks, Xero, Sage, MYOB and SAP, and can push to Google Drive, Notion, spreadsheets or a database via their APIs. If a system has no API, we can generate import-ready files. The pipeline maps extracted fields to your chart of accounts, tax codes and supplier records.
Can it read scanned or photographed documents, not just digital PDFs?
Yes. The OCR layer handles scans, phone photos and faxed pages, including skewed, low-resolution or slightly crumpled documents. We apply de-skewing, cropping and image cleanup before extraction, and the LLM layer then interprets the text in context rather than relying on fixed field positions.
What is your tech stack for OCR and document extraction?
A pipeline that pairs OCR and document-AI engines for text and layout with large language models for interpreting and structuring the data, wrapped in a validation-rules layer and a review interface. We are model-neutral and choose the OCR engine and LLM that fit your accuracy, cost and data-sensitivity needs — cloud, bring-your-own-key or self-hosted.
How do you handle confidential and sensitive documents?
Financial and personal documents are sensitive, so security is designed in. We minimise data retention, use permissioned APIs and encrypted transfer, keep an audit trail of every extraction and edit, and can run the pipeline in a private cloud, bring-your-own-key or self-hosted setup so documents never train third-party models.
How long does it take to build a document processing pipeline?
A focused pipeline for one document type — invoices, say — is usually live in a few weeks. Timelines grow with the number of document types, layout variety, the systems you export to and the depth of validation and review workflow required. We scope this precisely before starting.
Do we own the pipeline, and how is it maintained?
You own it. We build on your infrastructure and accounts where possible, hand over documentation and train your team to add document types and adjust validation rules. We can also provide a support arrangement to monitor accuracy, tune prompts and handle new supplier formats as they appear.
Will this replace our finance or admin staff, and do you work outside Malaysia?
It removes the manual keying, not the people. Your team stops retyping data and instead reviews exceptions and handles higher-value work, staying in control of what enters the books. We are based in Kuala Lumpur and build document-processing pipelines for clients across Malaysia and worldwide, remotely.