# OCR Human Review Queue Staffing Calculator

> Source: https://netray.co/tools/ocr-human-review-queue-staffing-calculator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Size the number of reviewers needed for a document capture exception queue, including peak days and the impact of the confidence threshold.

## Category

ai-automation

## Industry

Manufacturing

## Audience

- AP manager
- Quality manager
- Operations manager

## Tool

**Kind:** calculator

**Inputs:**

#### Documents per day

**Key:** docs_per_day

**Type:** number

**Default:** 900

**Min:** 0

**Step:** 50

**Unit:** docs

#### Share sent to human review

**Key:** review_rate

**Type:** slider

**Default:** 30

**Min:** 0

**Max:** 100

**Step:** 1

**Unit:** %

**Help:** Driven by your confidence threshold and extraction quality.

#### Time per reviewed document

**Key:** sec_per_review

**Type:** number

**Default:** 75

**Min:** 1

**Step:** 5

**Unit:** sec

**Help:** Open, check highlighted fields, correct, confirm.

#### Productive hours per reviewer per day

**Key:** shift_hours

**Type:** number

**Default:** 7

**Min:** 1

**Max:** 12

**Step:** 0.5

**Unit:** h

#### Target utilization

**Key:** utilization

**Type:** number

**Default:** 80

**Min:** 10

**Max:** 100

**Step:** 5

**Unit:** %

**Help:** Leave room for queue variation and interruptions.

#### Peak day multiplier

**Key:** peak_factor

**Type:** number

**Default:** 1.6

**Min:** 1

**Step:** 0.1

**Unit:** x

**Help:** Month-end or post-holiday peak relative to a normal day.

**Outputs:**

#### Documents reviewed per day

**Key:** reviews

**Expr:** docs_per_day * review_rate / 100

**Format:** integer

#### Review workload per day

**Key:** workload_hours

**Expr:** reviews * sec_per_review / 3600

**Format:** decimal

#### Usable hours per reviewer

**Key:** capacity_per_person

**Expr:** shift_hours * utilization / 100

**Format:** decimal

#### Reviewers needed (normal day)

**Key:** reviewers

**Expr:** workload_hours / capacity_per_person

**Format:** decimal

**Primary:** true

#### Reviewers needed (peak day)

**Key:** reviewers_peak

**Expr:** workload_hours * peak_factor / capacity_per_person

**Format:** decimal

#### Headcount to plan (rounded up for peak)

**Key:** reviewers_round

**Expr:** ceil(reviewers_peak)

**Format:** integer

**Primary:** true

**Chart:**

#### Reviewers needed vs review rate

**Type:** line

**X:** review_rate

**From:** 0

**To:** 100

**Steps:** 21

**Series:**

- reviewers
- reviewers_peak

**Disclaimer:** Planning model. Measure seconds per review from your own validation screen timestamps.

## Content

**Intro:** Every document capture project has a hidden team: the people who fix what the model is unsure about. This calculator sizes that team and shows how much the confidence threshold you choose moves the headcount.

**Sections:**

#### How to use the calculator

**Body:** Enter daily document volume, the share routed to review, and the average time per reviewed document. Add productive hours, a utilization target and a peak multiplier. The results give fractional and rounded reviewer counts. Use the chart to see how the review rate, controlled by the confidence threshold, drives staffing.

**Bullets:**

- Take review time from system timestamps rather than a stopwatch on easy documents.
- Use 70 to 85 percent utilization so that a queue does not build up.
- Set the peak factor from your busiest month, not the average.

#### The formula

**Body:** Reviews per day equal volume times the review rate. Workload hours equal reviews times seconds per review, divided by 3600. Each reviewer provides productive hours times utilization. Reviewers needed is workload divided by that capacity, and the peak figure multiplies workload by the peak factor before dividing. Rounding up for peak gives the planning headcount.

#### How to read the result

**Body:** If planned headcount exceeds the staff you have, you have three levers: raise the confidence threshold to send fewer documents (accepting more risk of undetected errors), reduce time per review with a better validation screen, or add temporary cover for peaks. Tightening the threshold is not free, because errors that skip review reach the ERP.

#### Common mistakes

**Body:** Assuming a flat review time ignores that exceptions are harder than the average document. Forgetting peak days leads to a backlog at month-end, which is exactly when invoices and certificates matter most. And sizing for the review queue only misses the downstream team that resolves matching exceptions in the ERP.

**Cta:** If your validation screen is slowing reviewers down, Netray builds on-prem review interfaces that show the source image beside the extracted fields and write back only after approval.

**Faq:**

#### How long should a document review take?

**Answer:** It depends on document type and how many fields are flagged. A clean one-page invoice with one flagged field can take under a minute, while a multi-page certificate with several corrections can take several. Measure it.

#### What utilization should I plan for?

**Answer:** Because arrivals vary through the day, planning for full utilization creates queues. Many teams plan for roughly 70 to 85 percent, and adjust based on turnaround targets.

#### How does the confidence threshold affect staffing?

**Answer:** A higher threshold sends more documents to review and reduces undetected errors, but increases headcount. A lower threshold does the opposite. Choose it by comparing review cost with the cost of an error reaching the ERP.

#### Should review be done by AP or by another team?

**Answer:** Document owners are usually best placed for content checks, such as quality for certificates. A shared service can do routine invoice review. Define clear ownership for each document type.

## Search terms

OCR human review staffing, document validation queue size, human in the loop OCR workload, document capture exception queue, intelligent document processing staffing, confidence threshold review rate, validation team sizing

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