September 13, 2030AIExplore

How to Use Dzine for Synthetic media disclosures

Learn Dzine synthetic media disclosures with step by step workflows, realistic examples, and verified plan notes.

Dzine works well for synthetic media disclosures 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 synthetic media disclosures in detail. Related Dzine articles: /blog/how-to-use-dzine-for-style-and-voice-settings, /blog/how-to-use-dzine-for-export-for-campaigns, /blog/how-to-use-dzine-for-plan-limit-verification.

When this workflow is the right job

Use synthetic media disclosures 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 Synthetic media disclosures

Write what must stay true for synthetic media disclosures in Dzine before settings or spend.

Brief: Synthetic media disclosures
Keep: verified SOURCE facts only
Avoid: invented pricing or features
Success: one reviewable output

2. Open Dzine for Synthetic media disclosures

Use the Dzine surface that owns synthetic media disclosures. Do not mix a neighboring workflow in the same pass.

Surface: Synthetic media disclosures
Start: pilot with one representative input
Plans: www.dzine.ai

3. Pilot Synthetic media disclosures

Run a single synthetic media disclosures pilot. Score clarity, grounding, and whether the output is reviewable.

Pilot: Synthetic media disclosures
[ ] SOURCE facts match
[ ] Output reviewable
[ ] Settings logged

4. Refine Synthetic media disclosures

Change one synthetic media disclosures dimension only. Save a template from the best run.

Refine: Synthetic media disclosures
Change: one control only
Keep: SOURCE and success criteria

Practical synthetic media disclosures examples

Caption track

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Caption track is clear and misreads are listed for fixes.

Quiz recap

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Quiz recap is clear and misreads are listed for fixes.

Short pilot

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Short pilot is clear and misreads are listed for fixes.

Brand wardrobe

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Brand wardrobe is clear and misreads are listed for fixes.

Voice lock

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Voice lock is clear and misreads are listed for fixes.

Scene under 60s

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Scene under 60s is clear and misreads are listed for fixes.

Regen one scene

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Regen one scene is clear and misreads are listed for fixes.

Course outline

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Course outline is clear and misreads are listed for fixes.

Compliance disclaimer

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Compliance disclaimer is clear and misreads are listed for fixes.

L&D template

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where L&D template is clear and misreads are listed for fixes.

Language pack

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Language pack is clear and misreads are listed for fixes.

Aspect 16:9

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Aspect 16:9 is clear and misreads are listed for fixes.

Source doc cite

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Source doc cite is clear and misreads are listed for fixes.

Review gate

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Review gate is clear and misreads are listed for fixes.

Publish checklist

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Publish checklist is clear and misreads are listed for fixes.

Training scene

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Training scene is clear and misreads are listed for fixes.

Onboarding avatar

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Onboarding avatar is clear and misreads are listed for fixes.

SCORM export

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where SCORM export is clear and misreads are listed for fixes.

Multilingual clip

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Multilingual clip is clear and misreads are listed for fixes.

Document to video

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Document to video is clear and misreads are listed for fixes.

Presenter style

Scenario:
L&D needs a Dzine Synthetic media disclosures 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 Synthetic media disclosures → 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 Synthetic media disclosures output where Presenter style is clear and misreads are listed for fixes.

How to improve synthetic media disclosures

Cut noise from synthetic media disclosures 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 synthetic media disclosures 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 synthetic media disclosures on www.dzine.ai before you promise timelines.

Keep drafts unpublished until a human confirms SOURCE facts.

Dzine can be wrong. Treat synthetic media disclosures 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 synthetic media disclosures in Dzine.

Keep a reusable template with variables for synthetic media disclosures.

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 synthetic media disclosures in Dzine as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-dzine-for-style-and-voice-settings, /blog/how-to-use-dzine-for-export-for-campaigns, /blog/how-to-use-dzine-for-plan-limit-verification.