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StaffCore
OCR and artificial intelligence

From the photo to the report — without retyping everything

An attendance report that arrived as a photo from the site is still data. StaffCore reads it, detects the table, matches every row to a worker in the system and flags exactly what it is unsure about — so a person only has to approve the outliers.

InputPhoto, scan or PDF
DetectionTable, rows and columns
MatchingTo workers in the system
ControlHuman approval for outliers
The problem

Paper is still with us — and typing it up costs days

Not every client and not every site will move to digital reporting, and that is fine. The problem is what happens afterwards.

01Reports that arrive as images

A photo from WhatsApp, sometimes skewed and sometimes partial.

02Days of typing at month-end

Two people, three days, hundreds of rows.

03Typing errors that reach payroll

One wrong digit changes an entire payslip.

04Names that do not match the database

A different transliteration, a shortened name or unclear handwriting.

05Delay in closing the month

Payroll waits for a report that has not been typed up yet.

06No trail back to the source

When a doubt comes up, it is hard to get back to the original report.

How it works

Seven stages from the photo to approved rows

The system does the grunt work, and a person only decides where a decision is genuinely needed.

Upload

Upload

  • 3 files uploaded
  • 5 pages detected
  • Quality acceptable
Capabilities

What the engine can do

Attendance report recognition

Printed and scanned tables in a range of formats.

Passport and document scanning

Extract identity details to open an employee file.

Smart name matching

Handles transliterations and shortened names.

A confidence level for every field

Explicit flagging of anything that needs a human eye.

System views

The automatic capture screens

Scan

Document processing

  • File: North site attendance report
  • Table detected · 42 rows
  • High average confidence
  • 8 cells to review
The advantage

What changes

Days of typing savedThe team moves from data entry to review.
Fewer human errorsThe value is read from the source rather than copied by hand.
Supporting evidence for every rowYou can go back to the original image at any moment.
Works in Hebrew and EnglishIncluding common name transliterations.
No blind automationAnything uncertain does not go through without approval.
An earlier month-end closeReports are captured as they arrive, not at the end.
Frequently asked questions

OCR and AI — frequently asked questions

Accuracy depends on the quality of the document, the format of the table and the legibility of the writing. That is why the system does not assume everything was read correctly: it shows a confidence level for every field and flags anything unclear for human approval. We do not promise a headline accuracy figure.

Have a photographed attendance report?

Send one example and in the demo we will show you how it is captured row by row.

1-800-100-350jerry@alinclean.co.il