OCR & data extraction
Text, figures and fields from scans, PDFs, invoices, forms and certificates.
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AI Document Processing
AI Document Processing & Data Extraction
From intake and OCR to classification, review and handoff — fewer copy-paste loops and clearer accountability.
We help teams automate document handling — OCR extraction, classification, validation and workflow handover — so staff spend less time on repetitive data entry and more on judgement.
- Multi-channel intake: email, uploads, forms, scans and messaging attachments into one preprocessing rhythm.
- OCR / extraction / classification before review; humans approve critical fields before ERP/CRM handoff.
What we deliver
OCR, classification, validation and handover
Extract text and structured data; classify and route; validate against records; push to workflows without re-keying.
Document classification
Tag by type, department, urgency or content so the right workflow receives each item.
Routing rulesException queues
Validation & enrichment
Cross-check extracted data against CRM/ERP, flag mismatches, prep downstream fields.
Match & mergeException review
Workflow handover
Feed approvals, records systems or CRM without manual re-entry.
Audit trailNotifications
Intake
From paper to structured data
Before / after
The pain is scattered intake and unclear handoffs
Processing is rarely one step — usually the problem is mixed channels, duplicate entry, inconsistent labels and chasing status in chat.
Less retypingHumans still reviewCleaner handoffs
| Stage | Typical today | With structured intake | Why it helps |
|---|---|---|---|
| Intake | Email, IM and folders — easy to miss or duplicate | Single queue with basic metadata | Fewer lost items; clearer ownership |
| OCR / extraction | Manual typing; error-prone | Draft fields for review | People check exceptions, not every character |
| Classification | Tribal knowledge | Rules plus ML-assisted tags | Consistent routing; edge cases to humans |
| Review | Informal messages | Workflow states and tasks | Traceable accountability |
| Handoff / systems | Forwarded emails | Push to ticket, ERP or CRM with status | Less “did this get entered?” chasing |
Less retypingHumans still reviewCleaner handoffs
Use cases
Common use cases
Invoice and receipt processing; application intake; contract prep; compliance packs; insurance claim documents — start where volume or error cost is highest.
Tackle the repetitive slice first
OCR and field extraction are where hours disappear.
Keep review in the loop
Finance, contracts and personal data still get human approval.
Fit your systems
ERP, CRM, approvals, tickets or APIs.
FAQ
AI document processing — FAQ
Not always. Repetition, handoff pain and error cost matter as much as raw daily count — a single painful queue can be enough to pilot.
Rarely for regulated or financial content. The goal is to remove boring typing and clarify responsibility — not to eliminate oversight.
Yes — depth depends on APIs, permissions and data models. We usually prove one integration path, then extend.
No — contracts, applications, internal memos and certificates can be in scope when the process is describable.
Yes — cloud, dedicated environment or on-prem are discussed against policy and IT constraints; see also our private AI page.
Next step
Start with the document flow that hurts most
Pick one intake path — invoices, applications or classification — prove accuracy and handoffs, then widen. We can combine with workflow automation or private hosting as needed.