Teams spend hours opening files, finding fields, renaming documents, checking totals, and copying information into another system.
02 / Document AI
Document AI
Turn PDFs, forms, scans, emails, and drawings into checked structured data.
Extract, classify, review, and organize information from PDFs, forms, and documents.
The pipeline combines OCR, layout-aware extraction, document classification, deterministic validation, evidence links, and human review. AI never silently turns uncertainty into final data.
What the build includes
A complete production workflow.
Secure document intake
Email, upload, API, or storage ingestion with file validation, deduplication, and processing status.
OCR and extraction
Text, tables, labels, entities, and page-level evidence converted into a versioned structured schema.
Validation and review
Required fields, totals, cross-document checks, confidence thresholds, and reviewer corrections.
System export
Approved data pushed to a database, CRM, ERP, accounting platform, CAD pipeline, or downstream API.
How a project runs
Four steps, no surprises.
- 01
Discovery call
A short call about the goal and the first workflow or feature worth building.
- 02
Written scope
What is built, which tools it touches, what a person approves, and the timeline, agreed before work starts.
- 03
Build and review
Short iterations connected to your tools, reviewed with your team before anything ships.
- 04
Launch and handoff
Go-live with documentation and an owner on your side. You own what we build.
Technology and fit
Built with the right tools, not every tool.
The exact stack follows the workflow, security requirements, existing systems, and deployment environment.
Technologies
Azure Document IntelligenceGoogle Document AIAWS TextractOCRClaude VisionGPT-4.1PythonFastAPI
Industries
Expected outcomes
- →Faster document intake
- →Less copy-paste
- →Evidence-linked fields
- →Clear review queues
- →Structured downstream data
Related work
What we have already shipped.
These examples show the type of workflow, product, or operating system this offer is built to solve.
Planroom
15 real bid packages evaluated for extraction quality
A construction-document workflow built for structured extraction and project-scoped retrieval.
15packages evaluated
62largest package documents
1,543specification pages
10packs reviewed in depth
BookSmart
Separate processing paths for invoices, statements, and SIE exports
A bookkeeping workspace that treats invoices, bank statements, and Swedish SIE files as different inputs with different processing paths.
3document types read
GPT-4oextraction model
2OCR engines
LetterMate
12,000+ letters generated across 20 guided workflows
A guided document product built around the facts a user needs to provide before generating a letter.
20letter types
12,000+letters generated
70%lower cost vs lawyer-led creation
Zehaanat
Current-affairs reading connected to revision and essay practice
A learning product that carries source intake through revision, practice, and essay feedback.
4spaced review intervals
2platforms: web and Android
GPT-5 nanotext and vision extraction
Common questions
Before we scope it.
Can document AI process scanned and photographed documents?
Yes, when image quality is sufficient. We validate file quality, apply OCR, and flag pages or fields that cannot be read reliably.
How do reviewers verify an extracted field?
Each extracted value can retain its source document, page, bounding region, confidence, and validation history so the reviewer can inspect the evidence.
Can the output connect to our existing software?
Yes. Approved records can be exported through APIs, files, database writes, queues, or controlled browser and desktop automation where an API is unavailable.
Keep exploring
Related services and technologies.
Related services
Free Audit
Get my free Audit ↗Know what to build first.
We review the workflow, recommend the first build, and give you a rough price range and timeline before you commit.