# AI Video Repurposing Kit — YouTube to Social Posts (`rumi7911/video-repurposer`) Actor

Give it a public YouTube URL and get back a ready-to-post social kit: a summary, the most quotable moments with timestamps, and platform-native drafts for X/Twitter, LinkedIn, and Instagram — written by Gemini watching the actual video, not guessing from a title.

- **URL**: https://apify.com/rumi7911/video-repurposer.md
- **Developed by:** [Muhammad Sohaib Roomi](https://apify.com/rumi7911) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $790.00 / 1,000 ai video repurposing kit — youtube to social posts

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Video Repurposing Kit — YouTube to Social Posts

Give it a public YouTube URL and get back a ready-to-post social kit: a summary, the most quotable moments with timestamps, and platform-native drafts for X/Twitter, LinkedIn, and Instagram — written by Gemini actually watching the video, not guessing from a title or transcript alone.

### What you can use this for

- **Podcasters and video creators** — turn one recording into a week of social content without the post-production grind.
- **Marketing teams** — repurpose long-form video (webinars, talks, interviews) into channel-ready copy.
- **Agencies** — a starting draft for client content calendars.

Unlike a plain transcription tool, this doesn't hand you a transcript and leave the writing to you — it delivers the actual finished drafts, each written for that platform's real tone and length, not one summary copy-pasted three times.

### Input

| Field | Description | Default |
|---|---|---|
| `videoUrl` | A public YouTube video URL | a real demo video |
| `tone` | Writing tone, e.g. "professional", "casual" (optional) | model picks a sensible default |
| `model` | Gemini model | `gemini-3.8-flash` |
| `apiKey` | Your own Gemini API key (optional) | — |

Every field has a working default — hit **Start** with no changes and you'll get a result.

### Output

```json
{
  "videoTitle": "...",
  "videoSummary": "...",
  "keyMoments": [{ "timestamp": "01:17", "description": "..." }],
  "posts": {
    "twitter": "1/ ...",
    "linkedin": "...",
    "instagram": "..."
  },
  "model": "gemini-3.8-flash",
  "processedAt": "2026-09-04T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.79 per video processed**. No subscription, no minimum.

Note: cost scales with video length (Gemini bills video understanding by content duration). $0.79 is priced with a comfortable margin through typical podcast/YouTube episode lengths (20–90 minutes); very long inputs (multi-hour recordings) cost more to process on our end and may run closer to break-even.

# Actor input Schema

## `videoUrl` (type: `string`):

Must be a public YouTube video.

## `tone` (type: `string`):

e.g. professional, casual, provocative. Leave blank for a sensible default tone per platform.

## `model` (type: `string`):

Which Gemini model to use for video understanding and drafting.

## `apiKey` (type: `string`):

Leave blank to use the Actor's own configured key.

## Actor input object example

```json
{
  "videoUrl": "https://youtu.be/QslsQ7Ref0M",
  "tone": "",
  "model": "gemini-3.8-flash"
}
```

# Actor output Schema

## `repurposingKits` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rumi7911/video-repurposer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("rumi7911/video-repurposer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call rumi7911/video-repurposer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rumi7911/video-repurposer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/87CPjVOP3bVAZhmBA/builds/ozzkaPaRV9HQHTL1J/openapi.json