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How to Use Dzine for Style and voice settings
Learn Dzine style and voice settings with step by step workflows, realistic examples, and verified plan notes.
Dzine works well for style and voice settings when you run it like production work: locked brief, SOURCE facts, then review before publish. Dzine creates images, videos, and talking photo avatars (dzine.ai). Obtain consent for likeness use and disclose synthetic media where required. Verify plan limits on dzine.ai. Start at /explore/dzine.
This guide focuses on style and voice settings in detail. Related Dzine articles: /blog/how-to-use-dzine-for-export-for-campaigns, /blog/how-to-use-dzine-for-plan-limit-verification, /blog/how-to-use-dzine-for-image-generation-projects.
When this workflow is the right job
Use style and voice settings when the deliverable is specifically this Dzine job. Switch to image generation projects when that workflow already owns the asset.
Step by step workflow
1. Brief Style and voice settings
Write what must stay true for style and voice settings in Dzine before settings or spend.
Brief: Style and voice settings Keep: verified SOURCE facts only Avoid: invented pricing or features Success: one reviewable output
2. Open Dzine for Style and voice settings
Use the Dzine surface that owns style and voice settings. Do not mix a neighboring workflow in the same pass.
Surface: Style and voice settings Start: pilot with one representative input Plans: www.dzine.ai
3. Pilot Style and voice settings
Run a single style and voice settings pilot. Score clarity, grounding, and whether the output is reviewable.
Pilot: Style and voice settings [ ] SOURCE facts match [ ] Output reviewable [ ] Settings logged
4. Refine Style and voice settings
Change one style and voice settings dimension only. Save a template from the best run.
Refine: Style and voice settings Change: one control only Keep: SOURCE and success criteria
Practical style and voice settings examples
Multilingual clip
Scenario: L&D needs a Dzine Style and voice settings video covering "Multilingual clip" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Multilingual clip. Inputs: - Approved script sections for Multilingual clip - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Multilingual clip → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Multilingual clip is clear and misreads are listed for fixes.
Document to video
Scenario: L&D needs a Dzine Style and voice settings video covering "Document to video" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Document to video. Inputs: - Approved script sections for Document to video - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Document to video → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Document to video is clear and misreads are listed for fixes.
Presenter style
Scenario: L&D needs a Dzine Style and voice settings video covering "Presenter style" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Presenter style. Inputs: - Approved script sections for Presenter style - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Presenter style → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Presenter style is clear and misreads are listed for fixes.
Caption track
Scenario: L&D needs a Dzine Style and voice settings video covering "Caption track" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Caption track. Inputs: - Approved script sections for Caption track - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Caption track → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Caption track is clear and misreads are listed for fixes.
Quiz recap
Scenario: L&D needs a Dzine Style and voice settings video covering "Quiz recap" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Quiz recap. Inputs: - Approved script sections for Quiz recap - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Quiz recap → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Quiz recap is clear and misreads are listed for fixes.
Short pilot
Scenario: L&D needs a Dzine Style and voice settings video covering "Short pilot" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Short pilot. Inputs: - Approved script sections for Short pilot - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Short pilot → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Short pilot is clear and misreads are listed for fixes.
Brand wardrobe
Scenario: L&D needs a Dzine Style and voice settings video covering "Brand wardrobe" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Brand wardrobe. Inputs: - Approved script sections for Brand wardrobe - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Brand wardrobe → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Brand wardrobe is clear and misreads are listed for fixes.
Voice lock
Scenario: L&D needs a Dzine Style and voice settings video covering "Voice lock" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Voice lock. Inputs: - Approved script sections for Voice lock - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Voice lock → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Voice lock is clear and misreads are listed for fixes.
Scene under 60s
Scenario: L&D needs a Dzine Style and voice settings video covering "Scene under 60s" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Scene under 60s. Inputs: - Approved script sections for Scene under 60s - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Scene under 60s → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Scene under 60s is clear and misreads are listed for fixes.
Regen one scene
Scenario: L&D needs a Dzine Style and voice settings video covering "Regen one scene" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Regen one scene. Inputs: - Approved script sections for Regen one scene - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Regen one scene → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Regen one scene is clear and misreads are listed for fixes.
Course outline
Scenario: L&D needs a Dzine Style and voice settings video covering "Course outline" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Course outline. Inputs: - Approved script sections for Course outline - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Course outline → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Course outline is clear and misreads are listed for fixes.
Compliance disclaimer
Scenario: L&D needs a Dzine Style and voice settings video covering "Compliance disclaimer" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Compliance disclaimer. Inputs: - Approved script sections for Compliance disclaimer - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Compliance disclaimer → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Compliance disclaimer is clear and misreads are listed for fixes.
L&D template
Scenario: L&D needs a Dzine Style and voice settings video covering "L&D template" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for L&D template. Inputs: - Approved script sections for L&D template - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review L&D template → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where L&D template is clear and misreads are listed for fixes.
Language pack
Scenario: L&D needs a Dzine Style and voice settings video covering "Language pack" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Language pack. Inputs: - Approved script sections for Language pack - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Language pack → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Language pack is clear and misreads are listed for fixes.
Aspect 16:9
Scenario: L&D needs a Dzine Style and voice settings video covering "Aspect 16:9" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Aspect 16:9. Inputs: - Approved script sections for Aspect 16:9 - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Aspect 16:9 → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Aspect 16:9 is clear and misreads are listed for fixes.
Source doc cite
Scenario: L&D needs a Dzine Style and voice settings video covering "Source doc cite" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Source doc cite. Inputs: - Approved script sections for Source doc cite - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Source doc cite → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Source doc cite is clear and misreads are listed for fixes.
Review gate
Scenario: L&D needs a Dzine Style and voice settings video covering "Review gate" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Review gate. Inputs: - Approved script sections for Review gate - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Review gate → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Review gate is clear and misreads are listed for fixes.
Publish checklist
Scenario: L&D needs a Dzine Style and voice settings video covering "Publish checklist" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Publish checklist. Inputs: - Approved script sections for Publish checklist - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Publish checklist → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Publish checklist is clear and misreads are listed for fixes.
Training scene
Scenario: L&D needs a Dzine Style and voice settings video covering "Training scene" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Training scene. Inputs: - Approved script sections for Training scene - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Training scene → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Training scene is clear and misreads are listed for fixes.
Onboarding avatar
Scenario: L&D needs a Dzine Style and voice settings video covering "Onboarding avatar" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for Onboarding avatar. Inputs: - Approved script sections for Onboarding avatar - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review Onboarding avatar → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where Onboarding avatar is clear and misreads are listed for fixes.
SCORM export
Scenario: L&D needs a Dzine Style and voice settings video covering "SCORM export" for learners. Objective: Produce a presenter/course video with scene-level scripts and regenerable scenes for SCORM export. Inputs: - Approved script sections for SCORM export - Avatar/voice selection - Language/locale if needed - Optional on-screen labels Workflow: Outline scenes → Script → Generate Style and voice settings → Review SCORM export → Regen weak scenes → Export Requirements: - Stay within verified Dzine capabilities; do not invent features. - Confirm live plan notes on www.dzine.ai before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A reviewable Style and voice settings output where SCORM export is clear and misreads are listed for fixes.
How to improve style and voice settings
Cut noise from style and voice settings by removing extra adjectives while preserving SOURCE facts in Dzine.
Raise quality by insisting on a single success check before debating style.
Make review easier by labeling fields that must never change.
Speed iteration by cloning the last good run and altering only one control.
Stabilize outputs by pinning settings after the pilot is approved.
Reduce rework by rejecting drafts that invent claims.
Improve handoffs by recording which control produced the best result.
Harden the workflow by testing an incomplete input before trusting defaults.
Prompting and usage guidance
Name the style and voice settings job, audience, and success check before opening Dzine.
Paste only verified facts under SOURCE so Dzine cannot invent details.
Specify the deliverable shape up front.
Call out fixed details versus flexible style choices.
Ask Dzine to flag unsupported claims before you accept the draft.
Limitations to respect
Check Dzine plan gates for style and voice settings on www.dzine.ai before you promise timelines.
Keep drafts unpublished until a human confirms SOURCE facts.
Dzine can be wrong. Treat style and voice settings as provisional until review.
If documentation is silent on a claim, leave it out rather than guessing.
Practical tips for this workflow
Pilot once before batching style and voice settings in Dzine.
Keep a reusable template with variables for style and voice settings.
Separate creative instructions from SOURCE facts.
Log settings from the best run.
Common mistakes
- Skipping the pilot run before scaling volume
- Inventing pricing, quotas, or features not on official pages
- Mixing unrelated workflows in one session
- Publishing without a human review gate
Treat style and voice settings in Dzine as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-dzine-for-export-for-campaigns, /blog/how-to-use-dzine-for-plan-limit-verification, /blog/how-to-use-dzine-for-image-generation-projects.