Your decks, PRDs, and KPI sheets already contain your script. Omni-reference video prompting turns them into a storyboard and shot list without copy-paste churn. With Wan 3.0’s public beta on Alibaba Cloud supporting documents, spreadsheets, slides, and webpages, multi-modal prompts finally unlock a practical document-to-video workflow.

Bookmark the templates below and reuse them across campaigns.

Omni-reference video prompting is the cleanest way to transform the assets you already maintain, documents, spreadsheets, slides, and webpages — into clear storyboards, shot lists, and finished videos. Wan 3.0’s public beta on Alibaba Cloud centers this shift with multi-modal prompts that go beyond text and images.

What Is Omni-Reference Video Prompting?

Omni-reference video prompting is a multi-modal prompting approach where you feed a model not just text, but also documents, spreadsheets, slides, and webpages so it can infer structure, priorities, and language directly from source materials. The output is a storyboard with scene definitions, a shot list, on-screen text, voiceover, and channel-specific cuts.

Why Omni-Reference Now: Wan 3.0 Public Beta and Team Reality

Teams already curate the truth in PRDs, product one-pagers, KPI sheets, and brand decks. The friction comes from rewriting that truth into scripts and briefs. Wan 3.0’s omni-reference inputs reduce that friction by reading the actual artifacts and mapping them to scenes, overlays, and voiceover.

Equally important, many teams prefer a generate-then-edit surface. Editors like Kapwing emphasize storyboard control and an always-editable timeline after generation, which is useful when brand, subtitles, and aspect ratio changes happen late. In practice, you can draft with omni-reference prompts, then refine in a timeline editor if policy or branding updates require surgical changes.

The Core Mapping Model: From Artifacts to Scenes

Get consistent outputs by standardizing how each artifact maps to video components.

• Input Artifact: Document sections

Maps To: Scenes

Why: Preserve logical narrative order

• Input Artifact: Headings and subheads

Maps To: Scene titles

Why: Aid pacing and viewer wayfinding

• Input Artifact: Bullet points

Maps To: On-screen highlights

Why: Fast-scanning value props

• Input Artifact: Sheet columns

Maps To: Lower-thirds and overlays

Why: Structured data to visuals

• Input Artifact: Slide speaker notes

Maps To: Voiceover

Why: Authoritative, on-brand narration

• Input Artifact: Webpage sections

Maps To: B-roll and screen cues

Why: Show product flows and context

Keep this mapping consistent across brands and campaigns. The model learns your hierarchy and reduces rework.

Key Takeaways

• Define a single mapping standard across your team.

• Use slide notes and doc summaries to lock voiceover tone.

• Treat sheet columns as named overlay slots to keep data accurate.

Omni-Reference Video Prompting Workflow in Wan 3.0

Follow this step-by-step to go from artifacts to a production-ready first cut.

1) Prepare sources for ingestion

• Documents: Use clear headings, one idea per section, and add an executive summary. Export to formats Wan 3.0 reads reliably.

• Spreadsheets: Normalize column names. Example: metric, value, change, timeframe, owner. Freeze the reporting period and version label.

• Slides: Ensure titles reflect slide purpose and move narrative into speaker notes. Keep bullets short and scannable.

• Webpages: Capture canonical URLs or export clean HTML/PDF. Trim cookie banners or unrelated sections.

• Brand kit: Collect logo variants, color values, typography rules, motion rules, lower-third templates, and CTA styles.

2) Set up omni-reference inputs in Wan 3.0 (Alibaba Cloud)

• Select omni-reference mode, then attach documents, spreadsheets, slides, and webpages.

• Add brand kit, define aspect ratio per channel (16:9, 1:1, 9:16), and choose subtitles format (burned-in or SRT).

• Specify voiceover characteristics, pronunciation guides, and call-to-action language for the end card.

• Add guardrails: do-not-mention phrases, compliance notes, and regions to avoid.

3) Build a prompt scaffold the model can reuse

Use a consistent scaffold so models learn your house style.

Global controls

• Goal: describe the video’s objective and target viewer.

• Duration: target range per channel; e.g., 30 to 45 seconds.

• Visual system: lower-third rules, transitions, motion speed, and caption style.

• Compliance: sources of truth and must-include or must-avoid language.

Scene schema

• Scene title: derived from doc section or slide title.

• Visual plan: live action, screen capture, product render, or b-roll.

• On-screen text: maximum 10 to 14 words per card.

• Voiceover: summarize slide notes or document paragraph in brand tone.

• Data overlays: map sheet columns to concise lower-thirds.

• Shot list: 2 to 4 shots with durations and transitions.

• Audio: bed music style and sound effects, if any.

4) Generate storyboard and shot list before rendering

Ask Wan 3.0 to output a storyboard and shot list first. This is where multi-modal prompting shines: source text drives narration, sheet fields drive overlays, and slide titles set pacing. Approve or adjust the plan before the system renders your first cut.

5) QA the plan for accuracy, tone, and legal

Use a checklist before you press render:

• Facts: every metric and claim matches the latest sheet and doc version.

• Tone: voiceover mirrors brand style and uses approved terms.

• Visuals: on-screen text is short, legible, and free of internal jargon.

• Compliance: include disclaimers and region flags from the sources.

6) Render first cut and generate channel variants

• Render the master, then request variants by aspect ratio and duration.

• Keep subtitles aligned with the approved voiceover and export SRT plus burned-in as needed.

• Produce a square or vertical cut with tightened shot durations for short feeds.

7) Iterate using omni-reference edits

• Update the sheet or doc and rerun the same scaffold; ask the model to only regenerate affected scenes.

• Request alternative hooks, intros, and CTAs while keeping mid-scene facts frozen.

• Archive the final prompt and sources with version labels for traceability.

Key Takeaways

• Approve a storyboard first; it is cheaper and faster than fixing final renders.

• Treat docs as narration, sheets as overlays, and slides as pacing.

• Regenerate selectively when sources change to preserve consistency.

Reusable Prompt Templates for Docs, Sheets, and Slides

Use these scaffolds to standardize outputs across teams.

Template A: Document-to-video explainer

• Inputs: product one-pager, PRD summary, FAQ doc.

• Goal: teach a new feature to a specific persona.

• Duration: 45 to 60 seconds for 16:9, 30 seconds for 9:16.

• Brand kit: logo, colors, type, lower-thirds.

• Scene rules: one document section per scene; each scene includes a title, visual plan, 2 lower-thirds max, and a 2 to 3 sentence voiceover condensed from the section.

• CTA: one action verb, one benefit, and destination copy.

Template B: Sheet-to-overlays product metrics

• Inputs: spreadsheet with columns metric, value, change, timeframe, owner, footnote.

• Goal: quarterly update reel for sales enablement.

• Duration: 30 to 45 seconds.

• Overlay rules: map metric to overlay title, value to large numeric, change to micro-badge, timeframe to corner label, owner to attribution line, and footnote to legal caption.

• Voiceover: summarize top three movements; avoid raw table reads.

Template C: Slides-to-storyboard launch teaser

• Inputs: keynote deck with slide titles and speaker notes.

• Goal: social teaser with a problem-solution arc.

• Duration: 20 to 30 seconds vertical, 30 to 45 seconds widescreen.

• Mapping rules: slide title to scene title, top bullets to on-screen text, speaker notes to voiceover, and any embedded image to b-roll reference.

• Hook: create a cold open from the first slide’s pain point.

How VidAU fits here

• VidAU AI Creative Agent can plan, write, and storyboard from your docs, sheets, and slides using similar scaffolds before you render final cuts. You provide the same source artifacts, brand kit, aspect ratio targets, and CTA language; it outputs a reviewed storyboard, shot list, and variant plan that you can pass to your editor or renderer.

Slides to Storyboard: A Fast Mapping That Preserves Intent

Visual for: Slides to Storyboard: A Fast Mapping That Preserves Intent

Slides were built to sell an idea in a room. Omni-reference prompting turns that room narrative into a paced video structure without hand-copying.

Practical mapping example

• Slide 1: Problem statement. Scene 1 hook with bold on-screen question and a quick pain montage.

• Slide 2: Solution overview. Scene 2 with product b-roll and a single overlay naming the outcome.

• Slide 3: Key metrics. Scene 3 with sheet-driven overlays and a 2-line voiceover summary.

• Slide 4: CTA. Final scene with brand logo, destination, and subtle motion background.

Tips

• Keep speaker notes as the single source for voiceover style and legal qualifiers.

• If a slide is image-heavy, direct the model to describe the visual for accessibility and subtitle clarity.

• Limit on-screen text duration to reading speed and channel norms.

Accuracy, Compliance, and Attribution with Multi-Modal Prompts

Omni-reference is only as good as your ground truth. Add guardrails that force the model to cite each claim’s origin and to refuse to invent.

Practical guardrails

• Ask the model to prefix each fact with a source tag like doc section, sheet tab, or slide number.

• Instruct it to produce a legal appendix with disclaimers captured from sources.

• Include a do-not-mention list and regional carve-outs when needed.

• Require a final diff report that flags any scene content not traceable to sources.

Distribution-Ready Settings: Aspect Ratio, Subtitles, Voiceover, and Output Specs

Prep your master for channels the audience actually uses.

Aspect ratio

• 16:9 for product explainers and webinars, 1:1 for feeds and paid social placements, and 9:16 for Shorts and Reels. Adjust pacing and crop safety for each.

Subtitles

• Always export SRT for accessibility and search. Keep burned-in captions for vertical cuts. Use brand kit rules for font, size, color, and background to maintain legibility.

Voiceover

• Derive language and tone from docs or slide notes. Provide pronunciation for product names and acronyms. Keep reads tight and remove filler.

Quality realities

• Chasing higher export settings rarely fixes perceived sharpness if the source is not truly high resolution. Match output to genuine source quality and remember that social platforms re-encode aggressively. Use higher resolution and bitrate only when the footage and viewing context justify it.

Troubleshooting and Iteration Patterns

When scenes run long

• Reduce bullets to one per beat and convert lists into motion sequences. Cap on-screen text to 10 to 14 words.

When numbers drift from the sheet

• Force overlays to read from the latest tab and freeze the reporting period. Regenerate only the metric scenes.

When voiceover sounds generic

• Paste brand voice examples into the prompt and require reuse of signature phrases. Pull tone from slide notes, not titles.

When visuals feel off-brand

• Reapply brand kit constraints for color, typography, lower-thirds, and motion speed. Lock transitions to a short approved set.

When compliance flags appear late

• Add disclaimers to the doc and rerun the scaffold so they appear in voiceover and subtitles. Maintain a compliance checklist as part of the final render request.

What is omni-reference video prompting and why should teams use it?

Omni-reference video prompting is a multi-modal method where you feed documents, spreadsheets, slides, and webpages to a model so it can generate a storyboard, shot list, overlays, voiceover, and CTA grounded in real source materials. Teams save time, preserve brand tone, and reduce factual drift versus rewriting scripts manually.

How does Wan 3.0 support document-to-video and slides-to-storyboard?

Wan 3.0’s public beta on Alibaba Cloud highlights omni-reference inputs that go beyond text and images. You can attach documents, spreadsheets, slides, and webpages, then define brand kit, aspect ratio, subtitles, and CTA. The model maps sections to scenes and notes to voiceover, producing a storyboard and shot list before rendering.

How do I map spreadsheet data to on-screen overlays reliably?

Normalize column names and keep one metric per row. Common columns include metric, value, change, timeframe, owner, and footnote. In your prompt, assign each column to a specific overlay slot, require a source tag for each figure, and freeze the reporting period so updates are explicit and traceable.

What is the best way to convert slide decks into a storyboard?

Use a slides-to-storyboard template: slide title becomes scene title, speaker notes drive voiceover, and top bullets become on-screen text. Embedded images inform b-roll references. Ask the model to output scene cards with visuals, overlays, and a 2 to 4 shot list, then approve pacing before rendering.

How do brand kit and aspect ratio choices affect the workflow?

Brand kit elements like logo, color, typography, and lower-third rules constrain visual choices so outputs stay consistent. Aspect ratio targets like 16:9, 1:1, and 9:16 influence framing, crop safety, and pacing. Set both early so the storyboard and shot list follow channel-specific constraints from the start.

Can I still edit after generating with omni-reference prompts?

Yes. Many teams draft with omni-reference prompts to lock facts and structure, then use an editor with a generate-then-edit workflow to refine timelines, subtitles, or brand details. This hybrid approach keeps source fidelity while accommodating late-stage creative or policy changes.

How do I prevent hallucinations or off-brand claims in the video?

Impose guardrails: force citation tags per fact, include a do-not-mention list, and add must-include legal text. Ask for a diff report that flags any content not traceable to documents, spreadsheets, slides, or webpages. Approve the storyboard first to catch issues before rendering.

What subtitle and voiceover practices work best across channels?

Export both SRT and burned-in captions. Keep lines short and high-contrast with brand kit styles. Derive voiceover language from document sections or slide notes, specify tone and pacing, and include pronunciation for product names. Sync voiceover timing with overlay legibility for accessibility.

Does a higher export resolution always produce better results?

Not necessarily. If your footage or generated assets are not truly high resolution, upscaling often adds little and platforms re-encode on upload. Match export settings to the genuine source quality and intended device, using higher resolution and bitrate only when they improve perceived clarity.

Where does VidAU AI fit in an omni-reference workflow?

VidAU AI Creative Agent can help at the planning stage. Provide your docs, sheets, slides, brand kit, aspect ratio targets, and CTA language. It outputs a reviewed storyboard, shot list, and a plan for channel variants, which you can then render in your preferred tool or pipeline.