AI Termination & Resignation Letter to Excel Converter
Manually typing employee name, last working day, final pay, and COBRA eligibility from each separation letter into your HR spreadsheet takes 5–10 minutes per person. This extracts them in 5–10 seconds, from any employer's format.
Enterprise-grade security · TLS 1.3 encrypted
What You Can Extract from Termination and Resignation Letters
Separation letters carry a standard set of HR-critical data points regardless of who wrote them or why. Define the columns you need once — the same field names work across resignation letters, termination notices, and separation agreements from any employer.
Why Separation Letters Break Template-Based OCR
A resignation letter and a termination notice look nothing alike — and neither looks like the one from the next company. Template-based tools require a separate configuration for every format. Custom Column Extraction reads by what the data means, not where it sits on the page.
Resignation letters are personal letters — employees write them differently every time. As one HR professional on Reddit put it: "I am revamping our termination letters and want to know what everyone else's process looks like." No standard template to build against, no fixed field positions to anchor on.
Termination letters differ by reason — layoff, misconduct, performance, restructuring — each triggering different data points. One template cannot cover all scenarios.
State-level final pay laws, COBRA deadlines, and WARN Act requirements differ. The same letter format carries different compliance data depending on location — traditional OCR cannot adapt.
Custom Column Extraction reads by meaning — "Employee Name" works whether it appears in a formal letterhead, a signature block, or an email-style sign-off. You type the field name; the AI finds the value anywhere on the page.
The same 12 column names cover resignations, terminations for cause, layoffs, and mutual separations. The AI distinguishes "Last Working Day" from "Benefits End Date" by context — no per-type template needed.
A resignation letter pasted into an email body, a scanned termination notice from a manufacturing plant, and a formal separation agreement from a tech company all feed into the same extraction columns — no format-specific configuration.
From This Month's Separation Letters to One HR Spreadsheet
Upload your batch
Gather this month's separation letters — resignations, termination notices, mutual separation agreements — and upload them together. PDFs, scans, and screenshots all work. No need to sort by separation type.
Name your columns
Define the 12 fields you need: Employee Name, Last Working Day, Reason for Separation, Final Pay Amount, COBRA Eligibility, Notice Period, Rehire Eligibility, and more. Inferred Columns let the AI classify Separation Type (Voluntary / Involuntary / Mutual) even when the letter does not explicitly name it.
Export to Excel
Every separation letter becomes a row. Every field becomes a column. The output is one structured spreadsheet — ready for headcount reporting, COBRA administration, final paycheck processing, and exit interview analysis.
When Separation Letter Extraction Works Best — and When to Review
- ✓ Typed or digitally generated — Letters produced in Word, email, or HRIS templates with clean, machine-readable text extract at full accuracy.
- ✓ Standard paragraph structure — Most termination and resignation letters follow a predictable pattern (opening, reason, effective date, next steps) that semantic extraction handles naturally.
- ✓ Batch processing across formats — Upload ten separation letters from five different employers in one batch; all extract against the same column definitions without per-format setup.
- ⚠ Handwritten resignation notes — Legible handwriting extracts reliably; scribbled or rushed notes on torn paper will require manual review and correction.
- ⚠ Complex severance agreements — Multi-page legal documents with nested conditions, release clauses, and deferred payment schedules may need human interpretation for fields like Severance Amount and Benefits End Date.
- ⚠ Poor-quality scans or photos — Faded thermal-print termination notices, skewed phone photos, or low-resolution faxed letters reduce field-level accuracy. Clear, flat documents produce the best results.
Frequently Asked Questions
Can it extract Employee Name and Last Working Day from both resignation and termination letters?
Yes. Whether the letter is a two-sentence resignation email or a formal termination notice citing company policy, the AI identifies Employee Name and Last Working Day by what they mean — not where they appear. A resignation letter might state "my last day will be June 15" while a termination letter says "your employment ends effective June 15." Both resolve to the same field.
Does it capture COBRA eligibility and benefits continuation details?
Yes. Define a COBRA Eligibility column and a Benefits End Date column, and the AI reads the relevant information from the letter's benefits section or the separate COBRA notice if included in the same document. Note that COBRA-required language appears in most US employer termination letters — the tool identifies "you may be eligible for COBRA" language and flags the eligibility status accordingly.
Can it distinguish between voluntary resignation and involuntary termination?
Yes. An Inferred Column for "Separation Type (options: Voluntary / Involuntary / Mutual)" lets the AI classify each letter based on its content and tone. A resignation letter stating "I have decided to pursue other opportunities" is classified as voluntary; a termination notice stating "your employment is terminated due to restructuring" is classified as involuntary. The classification happens automatically during extraction with no additional configuration.
What about handwritten resignation notes or scanned paper letters?
The tool reads scanned paper letters the same way it reads digitally generated PDFs. Handwritten resignation notes present the same challenge they would to any human reader: clear block letters and careful cursive extract reliably; rushed, illegible handwriting requires manual review. If your offboarding process regularly receives handwritten notes, test a sample with the free demo before committing to batch processing.
Can I batch-process multiple separation letters from different employees at once?
Yes. Upload all separation letters for the month — resignations, terminations, mutual agreements — in a single batch using the batch processing feature. Each letter is processed independently against the same column definitions, and all results merge into one Excel spreadsheet with one row per employee. This eliminates the need to open each letter, find the same five fields, and transcribe them by hand into your offboarding tracker.