Love Letter Lab

Love Letter Lab is a script generator tool that turns your own memories into a speech that sounds like you. An AI speech generator for toasts and tributes across 17 occasions, from wedding speeches and retirements to graduations and inaugurations.

Love Letter Lab is an AI speech generator built around a simple premise: most people who freeze before writing a toast already have the material, they just cannot arrange it into sentences that land. The product offers 17 purpose built speech and letter formats covering weddings, birthdays, graduations, baby showers, career milestones, anniversaries, retirements and inaugural addresses. Each format arrives with its own structure, so a best man toast starts from a different template than a retirement tribute. The workflow is deliberately short. You pick the occasion, answer a handful of prompts about the people involved, the stories worth telling and the tone you want, then edit the resulting draft. The site claims an average of five minutes to a strong first draft and positions personal detail as the differentiator: names, memories and tone cues are supposed to carry through the output rather than being smoothed into generic congratulations. There are sliders or prompts to shift a draft funnier or more emotional, and drafts stay editable afterward. This is a tool for occasional speakers, not professional speechwriters. Best men, maids of honor, parents, managers and colleagues who have a date on the calendar and no draft are the core audience. It sits between a blank document and a hired writer: cheaper and faster than commissioning someone, more structured than asking a general chatbot to write a toast. The site cites testimonials from a maid of honor and a retirement speaker, and lists coverage on There's An AI For That, PeerPush and CodeTrendy. One thing the homepage leaves thin is the commercial and technical detail. It advertises a free starting point but does not publish prices, subscription terms or export options, and there is no mention of integrations, team features or an API. Treat the free start as a way to test output quality on one real occasion before committing.