Ozor Document Video

Ozor Document-to-Video

End-to-end document-to-video on Ozor.ai. Takes a real file (PDF, PPTX, DOCX, etc.), analyzes it on Ozor's side to produce a structured plan, lets the user approve/edit the plan, then generates and exports a finished video — preserving slide visuals along the way.

When to use

Use this skill when the input is a document/file. Signals:

• User attached or referenced a PDF, PPTX, DOCX, Keynote export, slide deck, proposal, whitepaper, report, one-pager
• "Turn this deck into a video"
• "Make a video from this PDF"
• "Video from my pitch / proposal / report"

Do NOT use this skill when:

• Input is a short creative text brief → ozor-generate
• Input is a URL or landing page → ozor-url-to-video
• User only wants a written Ozor prompt → ozor-doc-to-video (prompt-only skill)
• User wants to manage existing videos → ozor-video-library

Required MCP tools

• mcp__ozor__analyze_document — analyzes the doc, returns a planId plus the structured plan
• mcp__ozor__prepare_document_upload — gets a curl-uploadable URL for local files with no public URL (the common path)
• mcp__ozor__get_plan — fetches the latest plan state
• mcp__ozor__update_plan — applies user edits to the plan before generation
• mcp__ozor__generate_from_plan — kicks off the video build from the approved plan, returns projectId
• mcp__ozor__export_video — starts the render (use the projectId as videoId)
• mcp__ozor__wait_for_export — blocks until the render is ready
• mcp__ozor__get_embed_code — returns the `` HTML

If the Ozor MCP isn't connected, tell the user and stop. Do not extract content yourself and fall back to generate_video with a hand-written script — that loses the slide visuals and overflows the 2000-char prompt limit. The plan-based flow is mandatory for documents.

Workflow

Step 1 — Get the document to Ozor

Pick the best source, in priority order:

1. Public URL → pass url directly to analyze_document. No size limit, no token cost. Best whenever available.
2. Local file (the common case) → call mcp__ozor__prepare_document_upload, then run the returned curl command to push the bytes directly to Ozor's storage. Bytes never traverse a tool call, so files up to ~50 MB work. Use this for any multi-MB PDF/PPTX/DOCX the user has uploaded into the conversation.
3. fileBase64 + fileName on analyze_document → only for small files (≲ a few hundred KB). Avoid for big decks — it burns tokens.

If prepare_document_upload isn't in the tool list, uploads are disabled on this server — fall back to a URL or small base64.

Step 2 — Analyze the document

Once Ozor has the file, call:

mcp__ozor__analyze_document({
  url | uploadId | fileBase64+fileName,
  ...optional hints: targetDuration, format (16:9 / 9:16), audience, tone
})

This returns { planId, plan }. The plan contains the proposed scenes, narration, visual notes, and which slides/pages map to which scenes.

Step 3 — Present the plan to the user and STOP

This is the critical step. Do NOT skip to generation. Show the user a concise rendering of the plan:

📋 Ozor plan for ""

**Format:** 16:9 (or 9:16)
**Estimated duration:** ~X seconds
**Scenes:** N

(1)  — 
(2)  — 
...

Want me to generate this as-is, or change anything? You can:
- Edit a scene ("change scene 2 to ...")
- Reorder / drop / add scenes
- Change tone, length, or format
- Approve and generate

Then wait for the user to approve or request edits. Do not call generate_from_plan on your own initiative — the plan is the user's checkpoint for cost and creative control.

Step 4 — Apply edits (if any)

If the user requests changes, call mcp__ozor__update_plan({ planId, ... }) with the edits. Re-fetch with get_plan and re-show the updated plan. Loop until the user approves.

Step 5 — Generate from the plan

When the user approves:

mcp__ozor__generate_from_plan({ planId })

This returns { projectId }. Use projectId as videoId for every subsequent call.

If the response includes a jobId, wait on it with wait_for_job({ videoId: projectId, jobId }). Otherwise proceed to export.

Step 6 — Export

mcp__ozor__export_video({ videoId: projectId })
mcp__ozor__wait_for_export({ videoId: projectId })

Returns shareUrl, editorUrl, downloadUrl.

Step 7 — Embed

mcp__ozor__get_embed_code({ videoId: projectId })

Step 8 — Present results

🎬 Video ready from ""

**Share:** 
**Editor:** 
**Download:** 

**Embed:**
```html

Want a 9:16 social cut from the same plan? I can regenerate.

## Hints to pass into `analyze_document`

Pass any of these if the user mentioned them or they're obvious from the document:

- `targetDuration` — e.g. `"60s"`, `"90s"`. Default ~60s for proposals/decks, ~30s for one-pagers.
- `format` — `"16:9"` (default) or `"9:16"` for social.
- `audience` — investors, customers, developers, internal team, ...
- `tone` — confident, warm, technical, energetic, ...
- `focus` — optional, a one-line note like "lean into the metrics on slide 4" or "skip the team slide".

## Adaptation by document type

| Document | Default duration | Format | Tone | Focus |
|----------|------------------|--------|------|-------|
| Pitch deck | 60–90s | 16:9 | Confident | Problem → solution → traction → CTA |
| Proposal (DOCX) | 60s | 16:9 | Professional | Outcomes + price + next step |
| Whitepaper / report | 60–90s | 16:9 | Authoritative | 3 key findings, link to full doc in CTA |
| Sales one-pager | 30–45s | 16:9 | Punchy | Hook → 3 benefits → CTA |
| Release notes | 30–45s | 16:9 | Energetic | One scene per feature |
| Training / SOP | 90s+ | 16:9 | Calm, clear | Numbered steps, split into a series if > 7 scenes |

When in doubt, propose a default in your initial call and let the user override after seeing the plan.

## Iterating after generation

If the rendered video needs changes:
- Small narration/copy tweaks → `update_plan` + regenerate (this re-runs from the plan, no need to re-analyze the doc)
- New scene order or tone → same path
- New focus or audience → may be cheaper to call `analyze_document` again with stronger hints

## Errors and recovery

- **`analyze_document` fails because the file is too big** → use `prepare_document_upload` instead of base64.
- **The plan has missing or wrong content** → call `update_plan` with corrections rather than restarting.
- **`generate_from_plan` fails** → the error usually points at a specific scene. Fix via `update_plan`, retry.
- **Export hangs** → safe to call `wait_for_export` again; it resumes.

## Rules

1. **Always go plan-first.** Never call `generate_video` with hand-written prose extracted from the document. The whole point of this skill is that Ozor sees the slides directly.
2. **Always show the plan to the user and wait for approval** before `generate_from_plan`. Generation is the expensive step; the plan is the checkpoint.
3. **For local files, use `prepare_document_upload` + curl.** Base64 is for tiny files only.
4. **Use `projectId` as `videoId` everywhere after `generate_from_plan`.** It's the same identifier.
5. **Surface every URL** — share, editor, download, embed.
6. **Don't summarize the document yourself** — Ozor's `analyze_document` does that and preserves visuals. Your job is to orchestrate the MCP and curate the plan, not to rewrite the content.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Mintii-Labs](https://github.com/Mintii-Labs)
- **Source:** [Mintii-Labs/ozor-skills](https://github.com/Mintii-Labs/ozor-skills)
- **License:** MIT
- **Homepage:** https://www.ozor.ai

Install and usage instructions live in the source repository linked above.