# Twitch & Kick VOD Analyzer: AI Scenes & Timestamps (`deapi/twitch-kick-video-analyzer`) Actor

Analyze public Twitch and Kick VODs and clips with Marlin 2B. Get timestamped visual events as structured JSON, up to 2 hours per video. Pay per started minute with no model API key. Visual analysis only; speech transcription is not included.

- **URL**: https://apify.com/deapi/twitch-kick-video-analyzer.md
- **Developed by:** [deAPI](https://apify.com/deapi) (community)
- **Categories:** Videos, AI, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.30 / 1,000 vod visual analysis minutes

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Twitch & Kick VOD Analyzer: AI Scenes & Timestamps

Paste a public Twitch or Kick VOD or clip and get timestamped descriptions of what appears on screen. The analysis uses Marlin 2B (preset fast) through deAPI, so you do not need to bring a model key. Output is structured JSON in an Apify dataset, ready for highlight hunting, content research, or another AI agent.

**deAPI video tools**

- Need the spoken words? → [Twitch & Kick VOD Transcriber: SRT, VTT & Speakers](https://apify.com/deapi/twitch-kick-transcript-scraper)
- Analyzing TikTok, YouTube or X instead? → [AI Video Analyzer: Scenes, Events & Timestamps](https://apify.com/deapi/tiktok-video-scene-analyzer)

### What does Twitch & Kick VOD Analyzer do?

It watches the picture of a stream recording and returns a time-ordered list of visual events: a layout change, a scoreboard, a facecam reaction, a menu screen, a new game scene, a title card. If the model also returns a scene summary, it is included. Each row carries the platform, the analyzed duration, the price charged, and the provider quote.

This is visual analysis only. The audio is not read, so no speech is transcribed.

### What can AI detect in a stream?

- Scene and layout changes, such as a switch from gameplay to a lobby, a break screen, or a just-chatting overlay.
- On-screen moments with a timestamp: a match result, a menu, a shop screen, a cutaway, a product shot.
- People and objects that appear in frame, described in plain language.
- The order and timing of these events across the whole recording, so you can jump to the right minute.

Descriptions come from a model and can be imperfect. Check important timestamps against the original before publishing or acting on them.

### Supported platforms and limits

- **Twitch:** VODs (`twitch.tv/videos/<id>`), clips (`clips.twitch.tv/<slug>`), and `m.twitch.tv` links.
- **Kick:** VODs (`kick.com/<channel>/videos/<id>`).
- **Length:** up to 2 hours (7,200 seconds) per video. Longer videos are rejected without any charge.
- Only public, accessible recordings work. Private, deleted, subscriber-only, or live streams can fail.
- Other sources (TikTok, YouTube, X) are not accepted here. Use the [AI Video Analyzer](https://apify.com/deapi/tiktok-video-scene-analyzer) instead.

### Video analysis vs transcription

This Actor describes what you can see. A transcript captures what is said. They answer different questions, and many workflows use both: find the interesting visual moments here, then read the words around them in a transcript. For speech, use the [Twitch & Kick VOD Transcriber](https://apify.com/deapi/twitch-kick-transcript-scraper) and join the records by video URL.

### How to analyze a VOD

1. Open the Actor and add one object per video to `videos`.
2. Set `url` to the public Twitch or Kick link.
3. Optionally set `durationSeconds`. If you leave it out, the Actor reads the length from the platform. If detection fails, that video returns a clear message asking you to provide it.
4. Optionally lower the two provider cost caps.
5. Run it and open the dataset.

```json
{
  "videos": [
    {
      "url": "https://www.twitch.tv/videos/2868777996",
      "durationSeconds": 429
    }
  ],
  "maxDeapiCostPerVideoUsd": 1.0,
  "maxTotalDeapiSpendUsd": 2.0
}
```

Before each analysis the Actor obtains a provider price quote and skips any video that would exceed either cost cap. Long videos need a run timeout of roughly 1.3 times the video length plus a minute. The Actor skips a video without charge when the remaining run time is too short.

### Output

One row per video, with fields such as:

- `url`, `platform`, `status` (`success`, `skipped`, or `failed`), and `error` when something went wrong.
- `durationSeconds` and `events`: the timestamped visual events, each with start and end times and a description.
- `sceneSummary` and `scenes` when the model returns them.
- `apifyPricingEvent`, `apifyPricingEventCount`, `apifyEventPriceUsd`, and `providerQuoteUsd`.
- `analysisType: "visual_only"` and `audioTranscriptionIncluded: false`, so downstream tools never mistake events for a transcript.

You can download the dataset as JSON, CSV, Excel, or HTML, or read it through the Apify API.

### How much does it cost?

Pay per successful analysis. There is no Actor subscription and no model API key to buy. You are charged only after a result row is saved; failed or skipped videos have no analysis charge.

| Item | Price (USD) |
|---|---:|
| Per video | $0.0048 |
| Per started minute of video | $0.0043 |
| Actor start (once per run) | $0.00005 |

Examples:

| Video length | Analysis price |
|---|---:|
| 7:09 (8 min) | $0.0392 |
| 36 min | $0.1596 |
| 1:48:52 (109 min) | $0.4735 |
| 2 hours (120 min) | $0.5208 |

The Actor is priced at cost (model provider cost plus Apify platform cost), with no markup. No minimum charge. The Store pricing tab is authoritative.

#### Try it on the Apify Free plan

Free-plan users get **3 analyses per calendar month**, **up to 20 minutes of material per video**, and **one video per run**. The allowance resets at 00:00 UTC on the first of the month. Analysis and start events still use your Apify credit balance. Paying users have no monthly cap.

### Use cases

- Find highlight candidates in a long VOD without scrubbing through it.
- Build a visual table of contents for a stream, with timestamps.
- Review a creator's overlays, scenes, and pacing across several recordings.
- Feed timestamped visual context to an AI agent or a clip-editing workflow.
- Pair with transcripts to get both what happened on screen and what was said.

### FAQ

**Can it analyze VODs longer than 2 hours?**
No. The limit is 2 hours per video. Split the VOD into parts, or analyze a clip of the section you care about.

**Does it transcribe speech?**
No. It is visual analysis only. For speech, use the [Twitch & Kick VOD Transcriber](https://apify.com/deapi/twitch-kick-transcript-scraper).

**Do I have to provide the duration?**
No. It is optional for Twitch VODs, Twitch clips, and Kick VODs. If automatic detection fails, the Actor asks you to provide `durationSeconds` for that video.

**Why was my video skipped?**
Common reasons are a provider quote above your cost cap, a run price limit that is too low, or too little run time left. The `error` field explains which one.

**Can it analyze TikTok, YouTube, or X videos?**
Not this Actor. Use the [AI Video Analyzer](https://apify.com/deapi/tiktok-video-scene-analyzer).

**Is this affiliated with Twitch or Kick?**
No. This is an independent tool and is not affiliated with either platform.

# Actor input Schema

## `videos` (type: `array`):

Public Twitch (VODs and clips) or Kick VOD URLs, up to 2 hours each. durationSeconds is optional: when omitted, the Actor reads the length from the platform. Provide it if detection fails.

## `maxDeapiCostPerVideoUsd` (type: `number`):

The Actor obtains a free price quote before sending each video to Marlin. Videos above this cap are skipped without analysis.

## `maxTotalDeapiSpendUsd` (type: `number`):

The Actor skips the next video when its quote would exceed this cumulative run budget.

## Actor input object example

```json
{
  "videos": [
    {
      "url": "https://www.twitch.tv/videos/2868777996",
      "durationSeconds": 429
    }
  ],
  "maxDeapiCostPerVideoUsd": 1,
  "maxTotalDeapiSpendUsd": 2
}
```

# Actor output Schema

## `dataset` (type: `string`):

One structured output row per video URL.

# 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("deapi/twitch-kick-video-analyzer").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("deapi/twitch-kick-video-analyzer").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 deapi/twitch-kick-video-analyzer --silent --output-dataset

```

## MCP server setup

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

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/MsBd9S26tmEU4fe81/builds/IdG7qVlVTPzV9tTN0/openapi.json