Turn unstructured documents into structured data — automatically.
Invoices, contracts, forms, emails — your business runs on documents. But manual data entry doesn't scale. Datsugi builds intelligent document pipelines that extract, validate, and route data where it needs to go.
How we treat document automation projects
Document automation isn't just about OCR. It's about understanding context, handling exceptions, and integrating extracted data into your systems. Here's how we do it:
Document inventory
What documents are you processing? Invoices, purchase orders, contracts, ID cards, medical forms? We catalog every document type, its variations, and the data to extract.
Extraction strategy
Some documents need template-based extraction. Others need AI that understands context. We design the right mix of OCR, NLP, and LLMs based on document complexity.
Validation and exception handling
Extracted data is only useful if it's accurate. We build validation rules, confidence thresholds, and human review queues so errors get caught before they hit your systems.
Integration and workflow
Data extraction is just the start. We integrate with your ERP, CRM, or database — and automate downstream workflows like approvals, notifications, and record creation.
From simple OCR to intelligent document understanding — we build document automation pipelines that scale
Whether you're processing hundreds of documents a day or millions a year, we design automation that handles volume without sacrificing accuracy.
Forms and template extraction
Tax forms, applications, surveys, registration documents — when layouts are consistent, we use template-based extraction for maximum speed and accuracy. Changes to templates? We version and adapt.
Invoice and receipt processing
Every vendor sends invoices in a different format. We build extraction pipelines that handle variations using AI models trained on thousands of invoice layouts — no manual template setup required.
Contract and email analysis
Contracts, legal documents, customer emails — when structure is unpredictable, we use LLMs to understand context, extract key entities, and classify content based on meaning, not position.
A (non-exhaustive) list of document AI platforms we work with
We leverage the best extraction engines from leading cloud providers — and combine them with custom models when off-the-shelf isn't enough.
Amazon Textract
Azure AI Document Intelligence
Google Document AI
AWS Comprehend
Azure Form Recognizer
Google Cloud Vision
IBM Watson Discovery
ABBYY Vantage
Rossum
Nanonets
Hyperscience
UiPath Document Understanding
Every industry has (lots of) documents. We automate the ones slowing you down – so you can focus on the big picture.
From back-office operations to customer-facing processes — document automation eliminates bottlenecks wherever paper (or PDFs) pile up.
Document Automation for Logistics
Automate bills of lading, delivery receipts, customs declarations, and packing lists — reducing manual entry and speeding up shipment processing.
Document Automation for Real Estate
Extract data from lease agreements, property listings, inspection reports, and closing documents — so agents and managers spend less time on paperwork.
Document Automation for Accounting
Process invoices, expense receipts, bank statements, and tax documents automatically — with validation rules that catch errors before they hit your books.
Document Automation for HR
Automate resume parsing, onboarding paperwork, timesheets, and compliance forms — freeing HR teams to focus on people, not documents.
Document Automation for Retail
Process supplier invoices, purchase orders, and inventory documents at scale — keeping your supply chain moving without manual bottlenecks.
Document Automation for Education
Extract data from transcripts, enrollment forms, financial aid applications, and certifications — streamlining admissions and student services.
Datsugi offers end-to-end document automation services
From document ingestion to system integration, we build pipelines that turn unstructured content into structured, actionable data.
Multi-format document ingestion
PDFs, scanned images, emails, faxes — we build intake pipelines that normalize documents from any source into a consistent processing flow.
Field extraction and entity recognition
We extract specific fields — dates, amounts, names, addresses, line items — and map them to your data model with confidence scores for every value.
Human-in-the-loop review
When confidence is low or exceptions occur, documents route to a review queue. Reviewers correct errors, and corrections feed back into model improvement.
And a whole lot more
Everything you need to automate document processing — from intake to archive.
Document classification
Don't know what's in the inbox? We build classifiers that sort incoming documents by type — invoices, contracts, support requests — before extraction even begins.
Audit trails and compliance
Every document processed, every field extracted, every correction made — fully logged and traceable for audit and compliance requirements.
Continuous model improvement
Extraction accuracy improves over time. We set up feedback loops that use human corrections to retrain and fine-tune models automatically.