Endless video data for foundation models and multimodal AI

No more rate limits, blocks or yt-dlp failures. Just stable, petabyte-scale video, audio and metadata extraction, ready for LLM, VLM and world model training.
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Trusted by 75% of leading AI labs and 20,000+ companies

10B+
videos extracted (and counting)
10PB+
of video provided to leading AI teams daily
90PB
web archive for discovery and historical context
195
countries covered with localized content
99.99%
uptime and 24/7 expert support

One data layer for every multimodal use case

Whether you are pre-training a foundation video model, fine-tuning a VLM, or feeding a humanoid robot policy, the pipeline is the same: discover, extract, deliver.

1Foundation Video Models
Train Sora-class video generators and world models on the visual diversity simulation cannot match. Rich footage of real-world physics, object dynamics and human activity at petabyte scale.
2Vision-Language Models
Power VLMs and multimodal LLMs with synchronized video, audio, captions and transcripts. Long-context video Q&A, scene understanding and instruction-following, in hundreds of languages.
3World Models and VLA
Replace the teleoperation bottleneck with web-scale demonstrations of manipulation, locomotion and driving. Learn more about Video Feeds for VLA pipelines.

From scenario to training-ready stream in three steps

Build petabyte-scale video extraction pipelines, optimized for multimodal training data.

1
Define
  • Modality, language, domain and format
  • Surface fresh sources by metadata
  • One-off or continuous custom feeds
  • Optional annotation and labeling
2
Search
  • Filter by scenario, lighting, geo and POV
  • Filter by duration, date and quality
  • Preview moments before downloading
  • Validate samples before scaling
3Extract
  • Bypass anti-bot measures and CAPTCHAs
  • Scale beyond yt-dlp cost-effectively
  • Pre-cut MP4 clips with metadata
  • Deliver to S3, GCS, Azure or webhook
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Every modality your model needs, from one feed

MP4 video clips, pre-cut to the timeframes you specify, delivered ready for ingestion. Multiple resolutions and frame rates available on request.

Separated audio tracks in m4a, aligned to video timestamps. Ideal for ASR, audio-language models and multimodal training that needs the audio signal preserved.

Native captions, auto-generated transcripts and subtitles in hundreds of languages. Time-aligned with video for token-efficient long-context training.

Rich structured metadata including channel, language, duration, upload date, geo region, plus thumbnails and storyboards. Standardized schema across every source.

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Web video beats every alternative

Simulation has a domain gap. Teleoperation does not scale. Catalogs are narrow. Web-scale video gives your model the diversity it needs to generalize.

Source diversity
Unmatched coverage across languages, geographies, lighting, formats and edge cases that synthetic data and curated catalogs cannot generate at scale.
Content-specific ingestion
Focus on high-value content matched to your training task. Drastically reduces noise versus generic crawls and keeps your token budget pointed at useful signal.
Pipeline-ready output
Pre-cut clips delivered with structured metadata, standardized schemas and precise timeframes. Drop directly into your training framework without preprocessing.

Built for the entire video training lifecycle

Get the essential video data foundation for foundation models, multimodal LLMs and physical AI, from pre-training to fine-tuning to continuous refresh.

Tailored for your model
Blend curated and client-specific video for model relevance and accuracy.
Multi-source aggregation
Unified video, audio, captions and metadata for richer multimodal training.
AI-powered archive search
Surface historical and real-time video, maximizing context for your models.
Continuous feeds
Stream video to your cloud as it is published, for training and evaluation.
Pre-cut, pipeline-ready
MP4 clips with structured metadata and precise timeframes.
Multimodal training ready
Combine video, audio, transcripts and metadata for truly versatile AI.
Reduce bias and drift
Access videos across geographies and languages to ensure fairness.
100% ethical and compliant
Full GDPR, CCPA, and AI Act compliance, plus KYC on every account.
compliant
Compliant and ethical, by design
In 2024, Bright Data won court cases against Meta and X, becoming the first web scraping company to be scrutinized in U.S. court, and win, twice. Our privacy practices comply with major data protection laws including the EU regulatory framework, GDPR and the California Consumer Privacy Act of 2018 (CCPA). Video data access requires KYC approval to ensure ethical, compliant sourcing on every project.
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FAQ

yt-dlp is an open-source tool designed for downloading individual videos. Bright Data's Media extraction API is purpose-built for multimodal training, VLM and VLA pipelines at scale, with continuous delivery of targeted MP4 clips with structured metadata, at petabyte throughput, with compliance built in.

Yes. Use our Filter API to identify and filter content by language, duration, upload date, format and other parameters before extraction. Build targeted lists that match your exact training data criteria, then extract with the Media extraction API.

Video is delivered as MP4 clips with structured metadata and precise timeframes. Audio is delivered as m4a. Data can be sent to Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Snowflake, SFTP, webhook or via direct API download.

Web Unlocker automatically resolves HTTP 429 errors by distributing requests across our global IP pool of 400M+ monthly addresses. Unlike standalone yt-dlp which fails on 429 errors, our API automatically retries with different IP addresses and optimal timing.

This error occurs when platforms detect automated patterns. Web Unlocker prevents detection through AI-powered browser fingerprinting that mimics real user behavior. Your extraction continues without human intervention.

Bright Data collects only publicly available data and operates under strict compliance policies. We hold SOC 2 Type II, ISO 27001, and are fully GDPR and CCPA compliant. In 2024, we won court cases against Meta and X in U.S. federal court, setting legal precedent for ethical web data collection.

Yes. We offer academic licensing and research pricing for universities and non-profit research labs. Contact us to discuss your specific needs and volume requirements. Sample files are available for all data types at no cost.

Datasets are priced by category, volume and delivery cadence. One-time snapshots are cheapest. Recurring and continuous feeds are priced per-delivery. Enterprise plans include volume discounts and custom SLAs. Contact us for a quote tailored to your training run.

Video extraction is not publicly available and requires:

  1. Initial consultation: Contact our team to discuss your specific video extraction needs
  2. Use case evaluation: We review and approve appropriate video extraction scenarios
  3. Custom configuration: Our experts set up optimized parameters for your workflow
  4. Compliance guidance: Ensuring extraction practices meet all requirements
The web won't unlock itself

Book a demo and see it in action.

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