Video → LLM Analyzer
Pricing
from $0.008 / analysis completed
Drop a video, give it a prompt, and have an LLM analyze it. Results land in your Notion page so Claude Code can pick up where you left off. Uses Apify MCP Connectors to write to Notion on your behalf — no Notion API key required.
You can access the Video → LLM Analyzer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "video": "https://api.apify.com/v2/key-value-stores/TQ3xIj3pxw3eDt6l4/records/sample-video.mp4",12 "prompt": "Summarize this video in 5 bullets. For each bullet, include a rough timestamp (e.g. 0:42) and quote any spoken line that matters.",13 "skipDestination": true14};15
16// Run the Actor and wait for it to finish17const run = await client.actor("grizzlygriff/video-llm-analyzer").call(input);18
19// Fetch and print Actor results from the run's dataset (if any)20console.log('Results from dataset');21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);22const { items } = await client.dataset(run.defaultDatasetId).listItems();23items.forEach((item) => {24 console.dir(item);25});26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Video → LLM Analyzer API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: