AI Video Analysis API

Extract structured data from any video with a single API call. Analyze YouTube, TikTok, Instagram, X and Facebook videos — get clean JSON back.

✔️ One unified API for all major social media platforms

✔️ Get structured JSON back using prompts or custom schemas

✔️ High performance API built for bulk video analysis

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curl -X POST 'https://api.supadata.ai/v1/extract' \
  -H 'x-api-key: {your_api_key}' \
  -H 'Content-Type: application/json' \
  -d '{
    "url": "https://youtu.be/dQw4w9WgXcQ",
    "prompt": "List every product and brand visible in the video"
  }'

{
  "jobId": "123e4567-e89b-12d3-a456-426614174000",
  "status": "completed",
  "data": {
    "products": [
      {
        "name": "Trench coat",
        "brand": "Burberry",
        "timestamp": 12
      },
      {
        "name": "Sneakers",
        "brand": "Nike Air Max",
        "timestamp": 34
      },
      {
        "name": "Sunglasses",
        "brand": "Ray-Ban Wayfarer",
        "timestamp": 51
      }
    ],
    "totalBrandsDetected": 3
  }
}

Built for Developers, by Developers

Nobody likes bloated APIs and unnecessary complexity. That’s why we’ve built our service to be:

Use Cases

Pricing That Scales To Zero

Start free and grow with us. Simple pricing that scales to zero. No hidden fees, no surprises.

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Trusted by Makers Who Ship

“Finally, an API that just works without the BS.” - Sarah Chen, AI Maker

“Saved me weeks of development time.” - Mark T., Solopreneur

Code Examples

Prompt-Based Extraction

Pass any video URL and a natural language prompt — get structured JSON back.

curl -X POST 'https://api.supadata.ai/v1/extract' \
  -H 'x-api-key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "prompt": "List every product, brand, and key topic mentioned in this video"
  }'

from supadata import Supadata
 
supadata = Supadata(api_key="YOUR_API_KEY")
 
# Prompt-based extraction
job = supadata.extract(
    url="https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    prompt="List every product, brand, and key topic mentioned in this video"
)
 
result = supadata.extract.get_results(job.job_id)
print(result)
# Output: {"products": [...], "brands": [...], "topics": [...]}

import { Supadata } from '@supadata/js';
 
const supadata = new Supadata({ apiKey: 'YOUR_API_KEY' });
 
// Prompt-based extraction
const job = await supadata.extract({
  url: 'https://www.youtube.com/watch?v=dQw4w9WgXcQ',
  prompt: 'List every product, brand, and key topic mentioned in this video',
});
 
const result = await supadata.extract.getResults(job.jobId);
console.log(result);
// Output: { products: [...], brands: [...], topics: [...] }

Schema-Based Extraction

Define a JSON schema to get deterministic, typed output.

from supadata import Supadata
 
supadata = Supadata(api_key="YOUR_API_KEY")
 
# Schema-based extraction for structured output
job = supadata.extract(
    url="https://www.tiktok.com/@user/video/123456789",
    schema={
        "title": "string",
        "summary": "string",
        "key_points": ["string"],
        "sentiment": "positive | neutral | negative",
        "mentioned_products": ["string"]
    }
)
 
result = supadata.extract.get_results(job.job_id)
# Guaranteed to match your schema — no post-processing needed

How Does Supadata Compare?

The biggest difference: Supadata works directly with video URLs from the major social platforms. Every other solution requires you to download and upload video files — adding storage costs, latency, and pipeline complexity.

Performance & Supported Platforms

Processing Speed

Processing times vary based on video complexity and concurrent load. For real-time applications, consider caching results — most video content doesn’t change after upload.

Supported Platforms

FAQs

What is AI video analysis?

AI video analysis uses artificial intelligence to extract meaningful information from video content. Rather than just transcribing spoken words, it can identify topics, extract structured data, summarize key points, and pull specific information from videos across platforms like YouTube, TikTok, Instagram, and X. Supadata’s API makes this accessible through a simple REST API — no machine learning infrastructure required.

Can AI analyze videos from YouTube, TikTok, and Instagram?

Yes. Supadata’s video analysis API supports YouTube, TikTok, Instagram, X (Twitter), and Facebook videos. Simply pass a video URL to the API and receive structured data back as JSON. The API handles all platform-specific complexity behind a single unified endpoint.

How do I extract data from a video programmatically?

Make a single HTTP request to the Supadata API with the video URL. The API extracts the video content and returns structured JSON data. You can use our Python SDK, JavaScript SDK, or call the REST API directly from any language. No API keys from YouTube or TikTok are required.

What about rate limits?

We handle the traffic intelligently to ensure your requests succeed without overwhelming source servers.

I need an SDK or integration

You can connect to Supadata using SDKs in Python, JavaScript, or no-code integrations (Zapier, Make, n8n, Active Pieces). See here for more information.

How accurate is the video analysis?

Accuracy depends on audio quality and content type. For clear speech with minimal background noise, transcript accuracy typically exceeds 95%. Structured data extraction using prompts or schemas is as accurate as the underlying AI model’s reasoning capability — generally very high for factual content extraction. For content in non-English languages, accuracy varies but Supadata supports 50+ languages with automatic language detection.

What video formats and sources are supported?

Supadata supports any publicly accessible video URL from YouTube, TikTok, Instagram, X (Twitter), and Facebook. For direct video file URLs (MP4, WebM, MOV), pass the direct URL to the API. Private or authenticated videos (login-required content) are not supported. Video length is not capped, though longer videos take proportionally more time to process.

How does it compare to Google Cloud Video Intelligence API?

Google Cloud Video Intelligence requires provisioning a Google Cloud project, setting up a GCS bucket for video storage, configuring service accounts, and making multiple async API calls. It only works with video files you upload — it cannot process YouTube or social media URLs directly. Supadata accepts a URL from any supported platform, returns structured JSON in a single job, and has no infrastructure to manage. For developers who need to process social media videos, Supadata is significantly simpler and often cheaper at scale.

Can I use it for real-time video analysis?

Supadata processes videos asynchronously — you submit a job and retrieve results when complete. For pre-recorded videos (YouTube, TikTok, etc.), typical response times range from 10 seconds for short clips to a few minutes for long-form content. True real-time streaming video analysis (live streams, sub-second latency) is not currently supported. For most use cases — content monitoring, data extraction, research — the async model works well, especially combined with webhooks or polling.

Video Analysis API: Extract Structured Data from Any Video in 2026

The Video Analysis API is a powerful tool for developers, data teams, and researchers who need to programmatically extract insights from video content. Unlike traditional video intelligence platforms that require complex cloud infrastructure setup, Supadata’s API provides a simple REST interface to analyze videos from YouTube, TikTok, Instagram, X, and Facebook. In this guide, we cover how the API works, its benefits, and how you can use it to build video-powered applications.

How Does the Video Analysis API Work?

What Is a Video Analysis API?

A video analysis API is a programmatic interface that processes video content and returns structured data. Supadata’s video analysis API takes a video URL as input, extracts the spoken and visual content using AI models, and returns clean JSON data. Unlike Google Cloud Video Intelligence or AWS Rekognition — which require provisioning cloud resources, configuring IAM roles, and managing storage buckets — Supadata’s approach is a single HTTP call with an API key. Pass a URL, get structured data back.

How to Access and Use the API

Getting started with the Video Analysis API takes less than a minute. Sign up for a free API key, then make an HTTP request to the REST endpoint with any video URL. The API supports YouTube, TikTok, Instagram, X (Twitter), and Facebook videos out of the box. Because it is a standard RESTful API, it works with any programming language or framework — Python, JavaScript, Ruby, Go, or even no-code platforms like Make, Zapier, and n8n.

What Programming Languages Are Supported?

The Video Analysis API supports every language that can make HTTP requests. For the fastest integration, official SDKs are available for Python and JavaScript (TypeScript). The Python SDK is popular for data science and machine learning workflows, while the JavaScript SDK integrates seamlessly into Node.js backends and serverless functions. For other languages, the REST API is straightforward to call directly using curl, Ruby, PHP, Go, or any HTTP client.

Analyze YouTube Videos at Scale

Why Analyze YouTube Videos Programmatically?

YouTube hosts billions of videos spanning every topic imaginable. For researchers, marketers, and product teams, this is a goldmine of unstructured data. A video analysis API transforms that unstructured content into structured, queryable data. Use cases include monitoring competitor content, tracking brand mentions, analyzing audience sentiment, and building datasets for machine learning training. The Supadata API handles YouTube’s complexity — rate limits, authentication, format variations — so you can focus on what to do with the data.

YouTube Video Analysis for Content Intelligence

Content teams use the Video Analysis API to systematically analyze YouTube channels and playlists. Extract topics, key points, and sentiment from hundreds of videos to understand what resonates with audiences. Identify trending themes before they peak. Build internal knowledge bases from educational content. The structured JSON output makes it easy to pipe data into analytics tools, databases, or AI pipelines.

Extract Structured Data from Any Video

Multi-Platform Video Content Analysis

The internet’s video content is not confined to YouTube. TikTok has become a dominant platform for short-form content. Instagram Reels drive brand engagement. X (Twitter) videos capture breaking news and commentary. The Supadata Video Analysis API provides a single, unified endpoint for all these platforms. Pass any supported video URL and receive the same structured JSON format regardless of the source platform. This eliminates the need to build and maintain separate integrations for each platform.

How to Extract Data from TikTok and Instagram Videos

Extracting data from TikTok and Instagram videos is notoriously difficult. Neither platform offers a public transcript or content analysis API. Supadata solves this by processing the video content directly using AI speech recognition and content analysis. Simply pass a TikTok or Instagram URL to the API, and receive structured transcript data and content analysis. No TikTok developer account or Instagram Graph API access is required.

What Are the Benefits of Using a Video Analysis API?

Simple API vs. Complex Cloud Infrastructure

Traditional video analysis solutions from Google, AWS, and Azure require significant setup: provisioning virtual machines or serverless functions, configuring storage, managing authentication, and dealing with async job processing. Supadata’s API requires none of that. One HTTP request, one API key, structured data back in seconds. This simplicity translates to faster time-to-market and lower engineering costs.

Structured JSON Output for Easy Integration

Every response from the Video Analysis API is clean, well-structured JSON. This means you can parse results with standard JSON libraries in any language, store them directly in document databases, feed them into pandas DataFrames for analysis, or use them as context in LLM prompts. No post-processing of raw binary data or complex response formats.

Cost-Effective and Scalable

Supadata’s pricing starts with a free tier and scales based on usage. You pay only for what you use, with no minimum commitments or upfront costs. The API is built for high throughput, handling bulk analysis requests with consistent performance and high availability.

Common Use Cases for Video Analysis

Video Content Analysis for Market Research

Market research teams use the Video Analysis API to analyze competitor content, track industry trends, and understand audience preferences. By processing hundreds of videos from a target niche, teams can identify common themes, popular formats, and content gaps. This data-driven approach to content strategy replaces manual video watching with automated, scalable analysis.

Building AI Applications with Video Data

Developers building AI applications need high-quality video data for retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. The Video Analysis API provides clean, structured data that integrates directly into AI pipelines. Use it to build video Q&A chatbots, content recommendation engines, or automated content moderation systems.

Accessibility and Content Repurposing

Video analysis enables content creators and media companies to repurpose video content into articles, blog posts, social media threads, and newsletters. By extracting structured data from videos, teams can create written content that captures the key points, quotes, and insights from video content — multiplying the value of every video produced.