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Placeholder Dialogue Generator
Chat mockups need conversation-shaped text, and this tool supplies it as alternating 'Name: message' lines between two speakers. Each of the four settings — casual, professional, support, and romantic — holds twelve hand-written two-line exchanges, and a run draws them without replacement in random order, so no exchange repeats within a conversation. Each run also picks one of five name pairs at random (Alex and Jordan, Sam and Riley, and so on), and the line count control sets the length your frame needs, from a two-line exchange up to twenty lines. Each exchange is a coherent two-line beat — a question meets its answer, a support request gets a helpful reply — so the thread reads as plausible back-and-forth even though the exchanges land in random order with no fixed story arc. The 'Name: message' format also splits cleanly on the first colon when you want to seed a dev database with sender and message fields. Regeneration changes both the names and the dialogue: each run draws a fresh selection of exchanges in a fresh order, which makes it easy to fill several distinct-looking threads for an inbox mockup. For varied message lengths across many chat bubbles, vary the line count per frame or edit lines by hand after pasting.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Select a setting from the dropdown that matches your project context: casual, professional, customer support, or romantic.
- Set the number of lines using the number input — use 6 for a standard screen fill, or higher to test scrollable layouts.
- Click the generate button to produce a fresh two-character conversation with randomized names.
- Copy the output text and paste it directly into your design tool, screenplay formatter, or code editor.
- Click generate again without changing settings to get a new name pair and different line content for additional screens.
Use Cases
- •Populating Figma chat bubble components with varied text to expose overflow and truncation issues
- •Seeding a development database with realistic sender/message pairs instead of 'test message 1' strings
- •Filling a helpdesk UI demo with customer support dialogue before a stakeholder walkthrough
- •Blocking scene rhythm in Final Draft or Fade In before writing real character lines
- •Generating onboarding screen copy for a dating app prototype in Storybook
Tips
- →Generate multiple outputs at the same setting and line count to build a library of varied chat screens — different name pairs prevent visual repetition across mockup frames.
- →Use customer support setting when demoing helpdesk or ticketing software; the structured request-and-response pattern looks far more authentic than casual banter in that context.
- →For mobile chat UI testing, generate at 4 lines and 12 lines separately — the short version tests empty-state designs, the long version tests scroll behavior and timestamp placement.
- →In screenplay work, use the output as a structural skeleton: keep the line count and emotional rhythm, but rewrite the actual words to fit your characters and story.
- →Paste several outputs into a single Figma frame before swapping in real copy — mismatched text lengths expose padding and bubble sizing issues early, before the content is finalized.
- →Combine the romantic setting with a low line count (4) for dating app match-screen previews, where only the opening exchange needs to be visible.
FAQ
how do I use placeholder dialogue in a Figma chat mockup
Generate at your target line count, then paste each line into an individual chat-bubble text layer — the alternating speakers map naturally to left and right alignment. Regenerating draws a fresh set of exchanges and a new name pair, so each frame can show a genuinely different conversation without manual editing.
what's the difference between the four dialogue settings
Each setting is a pool of twelve hand-written exchanges in a distinct register. Casual is small talk about food, plans, and catching up; professional covers proposal follow-ups, timelines, and scheduling. Support handles helpdesk topics like login trouble and escalations, ideal for helpdesk UIs. Romantic is an affectionate exchange suited to dating apps or interactive fiction.
does regenerating produce a new conversation or just new names
Both change. Every run picks one of five name pairs and draws a fresh selection of exchanges from the setting's pool of twelve, in a new order, so consecutive runs rarely read alike. Exchanges are drawn without replacement, so nothing repeats within a single conversation, even at the 20-line maximum.
can I parse the output to seed a test database with chat records
Yes — every line follows 'Name: message', so splitting on the first colon gives clean sender and message fields for a dev database. To fake a fuller inbox, regenerate a few times per setting — each run draws different exchanges and a different name pair — and mix settings for tonal variety.
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