RQ CloudOCR. Managed by people.
Software plus the technical staff who keep it accurate. Verified by humans. Routed into your AP workflow inside OnBase.
RQ CLOUDOCR · A REQUORDIT PRODUCT
Accuracy over time
Months in production →
The real problem, solved
We sell software plus the people who keep it accurate.
OCR vendors claim 90% accuracy. You get 60–70% in production. Competitors sell software. We finish the job.
- 01Pain point
Vendors claim 90%. You get 60–70%.
Sales decks promise one number. In production, on your real documents, you get another, and spend all your time correcting it.
Value prop 01 · Managed ServiceManaged Service
Combines best-in-class AI tools with active technical management and human verification, allowing us to hold first-pass accuracy at 80% to 90%.
01Vendors claim 90%. You get 60–70%.
PainSales decks promise one number. In production, on your real documents, you get another, and spend all your time correcting it.
Managed Service
Fix · 01Combines best-in-class AI tools with active technical management and human verification, allowing us to hold first-pass accuracy at 80% to 90%.
- 02Pain point
Accuracy decays over time
Any AP clerk error, or any uncaught error, trains the model to be worse. Accuracy degrades unless someone actively manages the models. Most vendors do not.
Value prop 01 · Managed ServiceManaged Service
Combines best-in-class AI tools with active technical management and human verification, allowing us to hold first-pass accuracy at 80% to 90%.
02Accuracy decays over time
PainAny AP clerk error, or any uncaught error, trains the model to be worse. Accuracy degrades unless someone actively manages the models. Most vendors do not.
Managed Service
Fix · 01Combines best-in-class AI tools with active technical management and human verification, allowing us to hold first-pass accuracy at 80% to 90%.
- 03Pain point
Mostly right is not ledger-grade
Even at 85–90%, suspect fields leak into the ledger. Key data needs verification before it hits approval.
Value prop 02 · Human VerificationHuman Verification
A human verification step takes accuracy up to 99%+ so invoices can pass straight to the approval process.
03Mostly right is not ledger-grade
PainEven at 85–90%, suspect fields leak into the ledger. Key data needs verification before it hits approval.
Human Verification
Fix · 02A human verification step takes accuracy up to 99%+ so invoices can pass straight to the approval process.
- 04Pain point
Workflow integration is manual
Flat-file dumps. Copy/paste handoffs. Once OCR is “done,” the work isn't.
Value prop 03 · ERP WorkflowERP Workflow
Invoices flow directly into the AP workflow connected to your ERP. No flat-file handoff.
04Workflow integration is manual
PainFlat-file dumps. Copy/paste handoffs. Once OCR is “done,” the work isn't.
ERP Workflow
Fix · 03Invoices flow directly into the AP workflow connected to your ERP. No flat-file handoff.
Value prop 01 · Managed service
Requordit staff AB test and actively manage the leading AI and machine learning models.
OCR models decay. Every AP clerk error, every uncaught error, trains the model to be worse. We watch it. We fix it. We hold the line.
Lift
From the 60–70% you actually get back up to 80–90%.
Hold
Active model management catches drift before it compounds.
Own
Our staff runs the top 2 to 3 models for you. Not a ticket queue.
Accuracy over time
Months in production →
Value prop 02 · Human verification
A human verification step. 85% to 90% becomes 99%+.
Data Indexers, trained on your unique vendor rules, review all fields for accuracy. Key fields get double verification. The difference between "mostly right" and ledger-grade.
Before
Post-OCR accuracy
After
Post-verification
Trained Data Indexers. Reviewers trained on your unique vendor rules check every field.
Double-verified key fields. Critical fields get two sets of eyes before they pass downstream.
Ledger-grade output. The verification step is the difference between mostly right and ledger-grade.
Straight to approval. Invoices pass straight to the approval process without re-keying.
Value prop 03 · Workflow
Invoice flows directly into your existing AP workflow. Approval, coding, exception handling. Already there.
The other guys
Three manual handoffs after “OCR is done.” Someone owns each one.
RQ CloudOCR + OnBase
OCR is integrated via APIs directly into the workflow to improve speed and accuracy.
How it fits together
From inbox to AP workflow. One pipeline.
01
Capture
Documents arrive. Auto-classified.
Software02
Extract
Header, lines, references pulled.
Software03
Manage
Requordit staff tune the model and a/b test alternatives.
Managed service04
Verify
Suspect fields go to a human.
Human step05
Route
Into OnBase AP workflow.
IntegrationRaw OCR (industry)
After Requordit manages the model
After human verification
What working with us looks like
Three weeks to decide. Then we run it for you.
- 01
Week 1
Pilot Scope
Pick a document type. We provision a tenant, configure your output mapping, and stand up the OnBase route.
- 02
Week 2
Run Real Documents
You send a real batch. We compare extraction against your ground truth, side by side. We tune the model.
- 03
Week 3
Decision
Sign or walk. If we are not faster and more accurate than what you have, the pilot ends. No license to unwind.
- 04
Ongoing
We Manage the Models
Our staff runs your top 2 to 3 OCR models. Verification stays in place. Accuracy holds.
Next step
Send us a batch. We'll show you.
Pilot real documents through the real pipeline. Side-by-side with what you have today. If we don't improve accuracy and remove handoffs, the pilot ends.
RQ CloudOCR · A REQUORDIT product