Pull Paystub Data, PTO Balances, and Attendance from Work App Screenshots
Every HR app — ADP, Workday, Personio, Sage — reports the same kinds of data in a completely different layout. Screenshot loggers spit out every pixel without structure; PDF tools can't read app UIs at all. This one reads only the fields you name, across paystubs, PTO calendars, benefits screens, and attendance logs, in a single batch.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Extract from Work & HR App Screenshots
ADP paystubs, Workday PTO, BambooHR benefits, Japanese attendance timetables — each app uses a different visual language. With Custom Column Extraction, you name the fields you need. The AI locates them on any HR screen by understanding what each value means, not where it appears.
These are the column names you type for each app. The AI finds matching values regardless of the app — one spreadsheet across paystubs, PTO, benefits, and attendance logs.
ADP, Workday, Personio — Different HR Apps, Same Extraction Problem
A US paystub from ADP and a Japanese attendance screenshot from a 勤怠 app look nothing alike. But both share the same obstacle: the data is rendered inside an app UI designed for viewing, not exporting. Semantic extraction reads both by understanding what fields mean, not where they appear.
Why HR App Screenshots Break Traditional Extraction
Paystub formats vary drastically by country. US ADP stubs show 4-6 deduction lines. Japanese 給与明細 displays 15+ categories (health insurance, pension, income tax, residence tax). Korean 급여명세서 splits base pay, allowances, and deductions into separate sections. Layout-based tools need a different configuration for each format.
PTO balances are visual calendars — not extractable tables. Workday and BambooHR display PTO as color-coded heatmaps. A blue block next to a date means "8 hours used," but there's no table row to capture. Benefits enrollment uses checkboxes that basic OCR reads as individual characters, losing the field association.
No single app exports across multiple HR systems. A worker's data lives in Workday for PTO, ADP for paystubs, and a separate system for attendance. Users report that switching payroll systems forces entering "500ish different fields" manually — screenshot extraction of old stubs avoids retyping every pay period.
How Semantic Extraction Finds HR Data Anywhere
Name the columns in English — AI reads labels in any language. Type "Gross Pay, Deductions, Net Pay" for ADP. The same columns work for Personio — the AI maps "Bruttogehalt" to Gross Pay and "Sozialabgaben" to deductions by understanding label-value context. Japanese 残業 hours become "Overtime." The model reads the relationship between a label and its value, not the label's position.
Visual UI elements — calendars, checkboxes — are parsed semantically. A colored PTO cell next to a date is read as "Hours Used." A checked benefits checkbox next to "Dental — Employee + Spouse" maps to Plan Name and Coverage Tier. The AI identifies these by visual relationship to text labels, not table row detection.
One batch across Workday, ADP, Slack, and Sage. Define columns once — the AI processes every screenshot independently. Paystub rows fill earnings columns; PTO rows fill balances; attendance rows fill start/end times. Unrelated fields stay empty. The export is one unified spreadsheet from multiple HR apps.
From Mixed HR App Screenshots to One Spreadsheet in Three Steps
Upload Screenshots from Any HR App
You've got an ADP paystub screenshot with gross pay and deductions, a Workday PTO balance showing remaining hours, a BambooHR benefits enrollment page with plan selections, and a Japanese attendance app showing daily start and end times. Each screenshot uses a completely different visual format. Drag them all into one batch — JPG, PNG, or WebP, no pre-sorting by app.
Name the Fields You Need — Once
Type Gross Pay, Net Pay, Deductions, PTO Balance, Plan Name, Coverage Tier, Work Date, Start Time, End Time, Overtime. One set of columns covers paystub data, PTO balances, benefits selections, and attendance logs. The AI reads each image independently — identifying "Gross Pay: $4,200" from ADP by its label relationship, parsing "PTO Remaining: 64h" from Workday's summary card, and extracting "出勤 9:00 / 退勤 18:00" from the Japanese attendance grid as Start and End Time.
Download a Single Consolidated HR Log
Processing takes 5-10 seconds per screenshot. The output is one XLSX or CSV file: each row is one screenshot, each column is one field you named. Rows 1-2: ADP paystub with Gross Pay, Net Pay, Deductions filled. Row 3: Workday PTO with Balance and Accrual. Row 4: BambooHR benefits with Plan Name and Coverage Tier. Rows 5+: Japanese attendance with daily Start and End Times. No manual transcription, no per-app reformatting (~18x faster than typing each value by hand).
When It Works Best — and When to Be Cautious
Understanding these boundaries helps you get consistent results.
When It Works Best
Clear, full-resolution screenshots from HR apps. Machine-rendered paystub figures and PTO balances achieve up to 99% accuracy. The model handles high-contrast app text reliably.
Consistent label-value pairings across countries. "Gross Pay" is always paired with a currency amount regardless of language. The AI maps Bruttogehalt, 기본급, and 給与 to earnings fields.
Mixed-source batch processing. One column set produces a consolidated spreadsheet from ADP paystubs, Workday PTO, BambooHR benefits, and attendance logs.
When to Be Cautious
Heavily compressed or forwarded screenshots. HR screenshots shared through messaging apps lose resolution, reducing accuracy on small deduction text and dense benefit details.
Visible data only — no API access to HR systems. The AI reads whatever is visible on screen. It cannot pull historical payroll records not displayed, query PTO accrual rules, or retrieve benefits history beyond what the screenshot shows.
Outdated HR app UIs with non-standard layouts. Older versions of ADP, Workday, or Personio may place fields in unexpected positions. The AI still outperforms template tools but results may be less consistent for legacy interfaces.
Frequently Asked Questions
Can I extract paystub data from ADP and PTO balance from Workday in the same batch?
Yes. Define one set of column names — Gross Pay, Net Pay, Deductions, PTO Balance, Next Accrual — and the AI processes every screenshot in the batch using the same definitions. The ADP paystub fills the earnings and deduction columns; the Workday PTO screenshot fills the balance and accrual columns. Fields absent from a screenshot stay empty. The output is a single spreadsheet covering pay and time-off data from both systems.
How does the AI handle a Japanese attendance app with Japanese labels alongside an English paystub?
The visual language model reads label-value relationships regardless of language. Define English column names like Work Date, Start Time, End Time, Overtime. The AI identifies 出勤 (start), 退勤 (end), and 残業 (overtime) by their position relative to time values and clock icons. Similarly, Personio/DATEV screenshots with Bruttogehalt and Nettogehalt labels are mapped to their English equivalents. One column set works across languages in the same batch.
How accurate is the AI at reading deduction breakdowns from dense paystub screenshots with 15+ deduction lines?
For clear, uncompressed screenshots, printed number accuracy reaches up to 99%. Paystub deductions are machine-rendered text. The AI reads each deduction by its label — it identifies "Health Insurance: $450" and "401(k): $300" as separate deduction line items regardless of how many lines are present. Japanese payslips with health insurance, pension, employment insurance, income tax, and residence tax are handled the same way — each deduction is identified by its label text, not by its visual column position. Compressed or heavily forwarded screenshots reduce accuracy for smaller deduction text.
Is my payroll data secure when I upload screenshots of paystubs or benefits information?
Uploads are handled over TLS 1.3 encrypted connections. Images are processed temporarily and are not retained beyond what is needed for the extraction task. The tool never requires HR system credentials or account logins — extraction works solely from the visible content in the screenshot. As with any cloud-based document processing, users handling sensitive payroll data should review the platform's data handling policy and exercise appropriate caution for their specific compliance requirements.
Can I export the extracted HR data to the format my accounting software uses?
You can export to Excel (XLSX), CSV, or JSON. Excel is the most practical for multi-app HR data — it handles paystub rows alongside PTO and attendance entries cleanly. CSV imports easily into QuickBooks, Xero, Sage, and most accounting and payroll platforms. For Google Sheets users, the Sheets add-on lets you insert extracted data directly into the active sheet, syncing with your account templates and usage history.
Deep dives into work app screenshot extraction: Affordable payslip extraction for small payroll — covering ADP reports, Gusto PDF exports, and QuickBooks screenshots · The cost of manual payslip data entry from Japanese HR apps — freee HR, MoneyForward, SmartHR, and Yayoi · Batch-extracting app screenshots of any source into a single merged spreadsheet
If you need the entire app screenshot turned into a structured table rather than specific field extraction, screenshot-to-excel conversion handles a different type of extraction need.