Document AI · OCR
Reading Is Just the Start — Data Your Systems Can Use
AI finds and structures only the fields you need from scanned and handwritten documents; humans review only what the AI isn't sure about. Verified data flows straight into your ERP and core systems.
- Free test
- Reply within 1 business day
- On-premise supported
SERVICE AGREEMENT
OO Trading Co. ("Party A") and Grinda AI ("Party B") hereby enter into this service agreement as set out below.
- Counterparty
- OO Trading Co.
- Contract value
- $48,500
- Term
- 2026-08-01 ~ 2027-07-31
- Special clause
- Art. 12 Liability cap
- partyOO Trading Co.0.99
- amount$48,5000.98
- period2026-08-01 ~ 2027-07-310.99
- clauseArt. 12 Liability cap0.95
- signJ. K**Review0.72
{
"party": {
"value": "OO Trading Co.",
"confidence": 0.99
}, "amount": {
"value": "$48,500",
"confidence": 0.98
}, "period": {
"value": "2026-08-01 ~ 2027-07-31",
"confidence": 0.99
}, "clause": {
"value": "Art. 12 Liability cap",
"confidence": 0.95
}, "sign": {
"value": "J. K**",
"confidence": 0.72,
"review": true
}}A simplified interactive demo of the actual product experience.
Where Ordinary OCR Stops, Grinda Keeps Going
Four real worries that make teams hesitate on document AI — here's how Grinda handles each. Tap a worry to see how.
"Every vendor's form is different — do we have to set it up for each one?"
Requires registering coordinates/templates per format, and re-setup whenever a new form arrives.
Understands the document's meaning to find fields — no templates. Even a form it's never seen is processed as-is.
The Documents That Actually Arrive at Your Desk
From standardized forms to unstructured documents with handwriting — processed as they are.
Contracts
Counterparty · Amount · Term · Special clauses
Tax invoices & invoices
Supplier · Business no. · Amount · Tax
Trade documents (B/L·C/O)
Ports · Incoterms · Line items
Finance & insurance forms
Applicant · Product · Handwritten entries · Signature
POs & transaction statements
Items · Quantity · Unit price · Delivery date
Receipts & expense proofs
Merchant · Amount · Date · Approval no.
IDs & certificates
Name · Number · Issue date (masked)
Your internal forms
Validated with your documents in a pilot
Where Documents Are the Job, This Is How It's Used
Every industry has different documents and rules. See scenarios mapped to real workflows.
- Banking & Finance
Loan screening documents · Proposals
Dozens of customer-submitted proofs are auto-classified, extracted, and entered into screening systems. Underwriters focus on review and judgment.
See related case - Trade & Logistics
Invoices · B/L · Certificates of origin
Shipping documents become data the moment they arrive, flowing into customs and settlement systems. Multilingual documents from overseas partners are handled too.
- Public Sector
Civil applications · Screening submissions
Incoming documents are auto-classified and extracted against criteria, speeding up assignment and review. On-premise deployment supports air-gapped environments.
See related case - Legal
Contracts · Legal documents
Extracts parties, amounts, deadlines, and risk-related clauses from hundreds of pages, cutting review time.
See related case - Insurance
Claims documents · Medical certificates
Claim submissions become data automatically, shortening payout screening cycles. Handwritten entries are reviewed by confidence.
- Manufacturing & Retail
Purchase orders · Transaction statements
Order and settlement documents in every vendor's format are unified into standard data, eliminating double entry into ERP.
It Doesn't Stop at Extraction — It Connects to Your Systems
Structured results are delivered as standard JSON. Automate document processing without changing your existing systems.
REST API · Batch processing
Both per-document real-time processing and high-volume batch runs
ERP · Groupware · RPA integration
Connects to existing systems via standard APIs, Excel, and CSV
On-premise · Private cloud
Deployments where documents never leave your infrastructure
{
"document": "invoice_2026-0718.pdf",
"type": "tax_invoice",
"fields": {
"supplier": {
"value": "OO Trading Co.",
"confidence": 0.99
},
"amount": {
"value": 12480000,
"confidence": 0.98
},
"memo": {
"value": "monthly settlement",
"confidence": 0.71,
"review": true
}
},
"status": "review_required"
}{
"document": "invoice_2026-0718.pdf",
"type": "tax_invoice",
"fields": {
"supplier": { "value": "OO Trading Co.", "confidence": 0.99 },
"biz_no": { "value": "123-45-***", "confidence": 0.99 },
"amount": { "value": 12480000, "confidence": 0.98 },
"issued_at": { "value": "2026-07-02", "confidence": 0.99 },
"memo": { "value": "monthly settlement", "confidence": 0.71, "review": true }
},
"status": "review_required"
}Wrong Data Doesn't Just Slip Through
Even the best AI can make mistakes. That's why Grinda is built to automatically catch low-confidence values and route them to a human. Data you can't be sure of never flows into your systems.
Check for yourself before you adopt
- See extraction results on your own real documents
- Assess how far each document type can be processed
- Design the review workflow and integration approach
- Get an estimated throughput and rollout timeline
- STEP 011–2 weeks
Document Audit & Consulting
Analyze document types, volume, and workflow Define extraction fields and review criteria
- STEP 022–4 weeks
Model Tuning & Pilot
Optimize extraction on your real documents Review the results directly to validate
- STEP 03Ongoing
Launch & System Integration
ERP/core-system integration and training Go live with continuous quality monitoring
Document OCR: Top Questions Before Adopting
Recognition performance depends on document quality and type. That's why, before adoption, you can see extraction results on your own real documents, and in production a workflow where humans review only low-confidence fields keeps final data quality high.
Just send a short request first. Within 1 business day, we'll contact you to agree on the document types and fields to extract, and explain how to share samples securely. If you need an NDA, we sign it first. We then run extraction on around 5–10 samples per document type and send you a report with field-level results and what can be automated. The test is free, with no commitment.
We support on-premise and private-cloud deployment so documents never leave your infrastructure. If your data must stay within a specific country or region, the deployment can be designed on your own infrastructure or private cloud there. The same principle applies to training: your data is never used to train external models.
It handles documents in English, Korean and other languages, including trade documents that mix several languages. Documents are accepted as they arrive — scanned PDFs, phone photos and fax images. You can confirm recognition results for the languages in your documents on your own samples in the free test.
Handwritten entries, tilted photos, and blurry faxes are recognized after preprocessing correction. Hard-to-read items receive low confidence scores and are caught in the review step, so final data quality holds.
Extracted data is delivered via standard APIs and formats like Excel/CSV, so it integrates with ERP, accounting systems, groupware, and RPA. We design the integration scope together during onboarding.
Pricing depends on document volume, the number of document types and fields, deployment (cloud or on-premise), and integration scope. After the free extraction test, we quote based on your actual documents.
A batch pipeline processes large volumes in parallel. During the pilot, you'll see expected throughput and processing time for your own documents in the report.
Ten of Your Documents Are Enough to See the Results Yourself
Start with a short request — you send samples only after we've agreed on how to share them. See the results for yourself before you decide on adoption.
Send a request
Tell us about your document types and volume. No documents are attached at this step.
Agree on how to share samples
Within 1 business day, we contact you to define the fields to extract and explain how to send samples securely.
We run the extraction
We run extraction on your samples. The closer they are to what you actually receive, the better the results predict production.
Get the results report
Field-level results with confidence scores, what can be automated, and a proposed review and integration setup.
Before you send samples
- 5–10 pages per document type is enough — include tricky ones with handwriting, stamps or poor scans.
- You can mask personal or sensitive values before sending.
- If you need an NDA, we sign it before receiving any samples.
- Your documents are used only for this test and never to train external models.
Write to us in English, Korean, Japanese, Chinese or Indonesian. We reply within 1 business day (Korea time, KST).
Grinda AI · Founded in 2023 in Daejeon, South Korea · Selected for Korea's TIPS program