Most offer letter generators have the same pitch: enter a few details and we'll create an offer letter for you. They're solving the wrong problem.
Your company already has an offer letter. It has your logo on it. It has your specific language about at-will employment and arbitration. It has a section about your benefits that your legal team approved two years ago. You don't need someone to generate you a generic letter — you need to fill your letter quickly for each new hire without copy-pasting from the last one and hoping you caught every placeholder.
The copy-paste process works fine until it doesn't. You open last month's offer letter, update the name, change the salary, fix the start date, and send it. Except sometimes you miss the spot on page two where the candidate's name appears again. Or you forget to update the compensation section that references "the above salary of $72,000" when this candidate is getting $85,000. Or the reporting manager changed and you didn't catch it.
These mistakes are embarrassing. In some cases they create legal ambiguity. And they happen because humans doing repetitive tasks make errors, especially when the task is "find everything that changed from the last version."
Upload your offer letter to Magic Decoder. The AI reads it and identifies every variable field — candidate name, job title, department, start date, salary, manager, benefits tier, signing deadline, whatever your template has. You review the list, adjust anything that was misidentified, and save it.
For every new hire: open the template, fill in eight fields, generate, download. The letter has your letterhead, your formatting, your legal language, and the correct information for this specific candidate. Takes about 60 seconds once the template is set up.
Nothing carries over from the previous hire because you're not copying anything. You're filling a form and the document builds fresh each time.
This isn't a way to send offer letters automatically or route them for signature. If you need offer letters to trigger from your ATS when a candidate reaches a certain stage, or if you need them to go directly into DocuSign, you need a full HR platform or an automation tool like Zapier connecting those systems.
This is for the people in between — teams of 10-100 people who send offer letters regularly but don't have enterprise HR software, and who currently spend 20 minutes per letter doing copy-paste work they could do in 60 seconds.
Most offer letters have some variation of: candidate full name, preferred name or salutation, job title, department, manager name, employment type (full-time/part-time), start date, salary or hourly rate, pay frequency, signing bonus if applicable, benefits eligibility date, offer expiration date, and a signature block.
The AI finds all of these automatically regardless of how your template is structured. Blanks, underscores, example text in brackets, highlighted fields — it handles any of those formats.
When you're hiring five people in two weeks, this pays off even more. The template is already set up. You run through the form for each candidate. There's no accumulation of "I'll just copy the last one" that leads to errors when you're moving fast.
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