Video Analysis API — Extract Data from Videos | Supadata

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
Trusted by top teams
To fetch a YouTube transcript programmatically, call the Supadata API. One GET request, no SDK needed:
Using Claude, ChatGPT or Cursor? Add Supadata in one click and sign in, no key to paste (other AI agents):
Machine-readable site map: llms.txt. Endpoint reference: docs.supadata.ai/get-transcript.
Nobody likes bloated APIs and unnecessary complexity. That’s why we’ve built our service to be:
Analyze video content programmatically:
Turn unstructured video into structured data:
Power your AI workflows with video data:
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.
Ready to try it? Get your free API key → — 100 requests/month, no credit card.
Start free and grow with us. Simple pricing that scales to zero. No hidden fees, no surprises.
“Finally, an API that just works without the BS.” - Sarah Chen, AI Maker
“Saved me weeks of development time.” - Mark T., Solopreneur
Works across every major platform — YouTube, TikTok, Instagram, X (Twitter), Facebook, and direct file URLs (MP4, WebM, MP3, M4A, and more):
Processing speed scales with length: roughly 10–30 seconds for clips under 5 minutes, 30–90 seconds up to 15 minutes, and a few minutes for long-form video. For real-time apps, cache results — most video content doesn’t change after upload.
Pass any video URL and a natural-language prompt — get structured JSON back. No video downloads, no cloud setup. Extraction runs asynchronously: the POST returns 202 with a job ID, and you poll the job until its status is completed.
Response to the POST (202 Accepted):
Job result once polling returns completed:
Need typed, deterministic output? Pass a JSON Schema as schema instead of a prompt and the extracted data is guaranteed to match it — no post-processing:
What is AI video analysis?
It uses AI to pull meaning from a video — topics, summaries, structured fields, specific facts — not just a raw transcript. Supadata exposes this as a single REST call, with no ML infrastructure to run.
Which platforms can I analyze?
YouTube, TikTok, Instagram, X (Twitter), and Facebook, plus direct video file URLs. Pass any public URL and get the same JSON shape back regardless of source.
How do I extract data from a video?
Send one POST request with the video URL and either a prompt or a JSON schema. Use the Python or JavaScript SDK, or call the REST endpoint from any language — no YouTube or TikTok API keys needed.
For clear audio, transcript accuracy typically exceeds 95%. Prompt- and schema-based extraction is most reliable for information clearly stated in the video — names, products, topics, summaries; vague or implied details are harder to pin down. 100+ languages are auto-detected.
What formats and sources are supported?
Any public video URL from the supported platforms, plus direct file URLs (MP4, WebM, MP3, FLAC, MPEG, M4A, OGG, WAV). Private or login-required videos aren’t supported. Limits: up to 200 MB and 55 minutes per video.
Can I use it for real-time analysis?
Processing is asynchronous: submit a job and retrieve results when ready (seconds for short clips, a few minutes for long videos). Live sub-second streaming isn’t supported, but polling covers most monitoring and extraction workflows.
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.
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.
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.
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.
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 h