A web application that generates formatted Letters of Assignment and institutional documents from Excel templates, replacing hours of copy-paste-format-print with a single upload-and-generate workflow.
Every semester, the HR team at the institution faced the same grind: hundreds of Letters of Assignment needed to go out to faculty and staff. Each letter had to be individually created from a master template, with names, dates, course assignments, and compensation details manually copied from a source spreadsheet into a Word or Excel document. One letter at a time. Copy. Paste. Format. Print. Repeat.
The process was slow and fragile. A wrong name or misformatted date could mean a letter had to be redone from scratch. When you're producing hundreds of these documents, even a 2% error rate means dozens of corrections and awkward conversations with recipients who received someone else's details.
Administration had tried workarounds over the years: mail merge, shared templates, color-coded spreadsheets. Nothing stuck. The process still relied on someone sitting down and grinding through the list, and that someone was burning entire days on work that should have taken minutes.
HR staff manually creating individual letters from templates, one recipient at a time. Hundreds of letters, each requiring focused attention.
Names, dates, and assignment details pasted into the wrong fields. A single misplaced value could send the wrong information to the wrong person.
Processing the full list of assignments consumed entire workdays. The HR team couldn't get to strategic work until the letters were done.
Different staff members produced differently formatted documents. Letters going out from the same office looked like they came from different organizations.
I mapped every letter variant the HR team produced: Letters of Assignment, contract renewals, appointment confirmations. Then I identified the common data fields across all of them. We standardized these into a single Excel template format with clearly marked placeholder fields that the generator would populate.
We built an upload pipeline that reads the source spreadsheet containing recipient details (names, departments, dates, compensation, course assignments) and validates every row before generation begins. Missing fields, duplicate entries, and format mismatches get flagged immediately rather than producing broken output.
I wrote a server-side engine using Node.js and ExcelJS that reads the template, injects data from the source spreadsheet into each placeholder, and produces a formatted Excel document for every recipient. The engine processes the entire batch in one pass, hundreds of letters generated in seconds.
We created a web interface where the HR team can preview generated documents before finalizing, catch edge cases the validation missed, and download the batch as formatted Excel files ready for printing.
Let's talk about how document automation could save your team hours every week.
Start a ConversationUpload your letter template and source data spreadsheet through a clean drag-and-drop interface. The system reads your format and maps fields automatically.
Names, dates, departments, course codes, and compensation details flow from the source spreadsheet into each letter template. Zero manual entry.
Every generated letter preserves the exact formatting, fonts, borders, and layout of the original template. Output looks identical to hand-crafted documents.
Generate hundreds of personalized letters in a single pass. Upload once, click generate, and the entire batch is ready for download in seconds.
Review a sample of the generated output before committing to the full batch. Catch template issues or data mismatches before they propagate.
Missing names, blank fields, and format mismatches get flagged before generation starts. No more discovering errors after the letters are already printed.
The upload interface lets the HR team drag in their Excel template and source data spreadsheet. The system detects placeholder fields, maps them to the corresponding columns in the data file, and shows a preview of how each field will be populated.
A real-time progress view shows each letter being generated from the batch. Validation warnings appear inline, and the team can pause, review flagged entries, and resume without losing progress on the rest of the batch.
The final output preserves every formatting detail from the original template: fonts, borders, cell sizes, and institutional branding. Each letter looks identical to one made by hand, but takes a fraction of the time.
What used to take our team the better part of a week now takes about fifteen minutes. We upload the spreadsheet, review the preview, hit generate, and we're done. The letters come out perfectly formatted every single time. No more double-checking every name and date by hand.
Nobody writes blog posts about automating letter generation. It's not glamorous. But when a task consumes days of skilled staff time every semester and carries real consequences for errors, the ROI on automating it is enormous. The HR team's relief when this went live told the whole story. They got their week back.
Building the template engine was the straightforward part. The real value came from the validation layer. It catches missing fields, flags duplicate entries, and surfaces data problems before a single letter gets produced. The HR team trusted the tool because it caught mistakes they used to discover only after printing.
The team already had their Excel templates and source spreadsheets. They didn't need a new system, they needed their existing process to work faster. Because the tool accepted their existing file formats and produced the same output they were used to, adoption was immediate. No training, no resistance, just relief.
Every project starts with a conversation. Tell us about the documents your team is still creating by hand, and let's figure out what automation could look like for you.
No pitch. No pressure. Just a conversation about what might work.