Collect the visual data your computer vision and multimodal models need

Scrape images, video, audio, and documents from public websites at scale, with compliant infrastructure purpose-built for AI training teams building computer vision and multimodal models.

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  • Images, video, and documents
  • KYC-backed compliance
  • Integrated API delivery
  • Bot detection bypass

Computer Vision & AI Training Teams

Build richer training datasets with real-world visual data

Collect product images, ad creatives, real-world scene photos, and video content from public websites at scale, bypassing bot detection on image-heavy platforms to fuel object detection, classification, and multimodal model training.

Multimodal & Document Intelligence Teams

Extract visual and structured data from any public media format

Collect publicly available PDFs, documents, nutrition labels, product pages, and video content to train OCR, document intelligence, VLA, and multimodal models with diverse, high-quality media data.

Computer vision and image data popular use cases

Image Datasets at Scale

Scrape product images, ad creatives, and real-world photos from public websites at scale, bypassing bot detection on image-heavy platforms. Build large, diverse image datasets covering the object categories, scenes, and visual conditions your computer vision models need to generalize.

Video and Audio Collection

Download publicly available video and audio content for training action recognition, visual language action (VLA), and multimodal models. Bright Data's infrastructure handles large-scale media retrieval with KYC-backed compliance built in at every step.

PDFs, Documents and Structured Media

Extract text, tables, and visual data from publicly available PDFs, product labels, regulatory filings, and documents. Build training datasets for document intelligence, OCR, and layout understanding models using real-world document diversity at scale.

Product Label and Packaging Data

Collect product label images and packaging visuals from eCommerce platforms and brand websites to train models that extract nutrition facts, ingredient lists, and structured product attributes from real-world label photography at scale.

Ad Creative and Visual Content Collection

Pull image and video ad creatives from public platforms and brand websites to build training sets for ad classification, creative analysis, and multimodal models. Collect real creative assets at scale rather than relying on synthetic or proxy data.

Real-World Scene and Scenario Datasets

Collect images of specific real-world scenarios, environments, and conditions from public web sources to build diverse computer vision datasets. Cover edge cases, underrepresented contexts, and domain-specific visual scenarios your synthetic data cannot replicate.

Need images, video, and document data for AI training? Explore our web scraping infrastructure

Industry Leading Compliance

Our privacy practices comply with data protection laws, including the EU data protection regulatory framework, GDPR, and the California Consumer Privacy Act of 2018 (CCPA) – respecting requests to exercise privacy rights and more.

Why 20,000+ Customers Choose Bright Data

100% Compliant

All data collected and provided to customers are ethically obtained and compliant with all applicable laws, with KYC verification backed into every customer relationship.

24/7 Global Support

A dedicated team of customer service professionals is available to assist you at any time.

Complete Data Coverage

Our customers can access over 400M+ monthly IP addresses worldwide to collect images, video, and documents from any public website or platform without interruption.

Unmatched Data Quality

With our advanced technology and quality assurance processes, we ensure high-resolution, accurately retrieved media assets ready for labeling, annotation, and model ingestion.

Powerful Infrastructure

Our proxy-unblocking infrastructure bypasses bot detection on image-heavy and media-rich platforms, keeping large-scale visual data collection pipelines running reliably at any volume.

Custom Solutions

We provide tailored visual data collection solutions to match your model's specific domain, format, and diversity requirements, from targeted image scraping to large-scale video retrieval pipelines.

Frequently Asked Questions

Yes. Accessing publicly available content via automated means is considered permissible under applicable regulatory and legal frameworks. Bright Data's services emulate the behavior of an individual end user, and there is nothing done through our services that cannot be done manually with a web browser. Collecting public visual data for AI model training is a legitimate and widely adopted practice.

Read more: Code of Ethics and Conduct

Bright Data collects only publicly available data and operates with KYC verification applied to every customer relationship, ensuring our infrastructure is used only for legitimate purposes. We comply with GDPR, CCPA, and SOC2, and we continuously monitor legal developments to help customers use our services compliantly.

Bright Data has designed a detailed Privacy Policy to provide all required information about its privacy practices.

Bright Data can collect a wide range of publicly available visual and media data including product images, ad creatives, real-world scene photos, publicly available video content, audio files, PDFs, product labels, packaging images, and document files. If it is publicly accessible on the web, our infrastructure can retrieve it at scale.

Yes. Bright Data's Web Unlocker and proxy infrastructure are designed to handle CAPTCHA, Cloudflare, rate limiting, and other access barriers commonly found on image-heavy and media-rich platforms. This ensures reliable, large-scale visual data collection without manual intervention or pipeline disruption.

Yes. Bright Data supports collection of publicly available video content for AI training use cases including action recognition, visual language action (VLA) model training, and multimodal model development. Collection is performed with KYC-backed compliance and restricted to publicly accessible sources.

Bright Data can retrieve publicly available PDF and document files from web sources and extract structured content including text, tables, and layout information. This supports training datasets for OCR models, document intelligence systems, and layout understanding models using real-world document diversity.

Bright Data manages data for over 15,000 organizations around the world. Our security model is based on international standards including ISO 27001, ISO 27018, CSA Star level I, SOC2, and OWASP Top 10, as well as best practices for data encryption, infrastructure security, and external security audits.

Yes, we can provide samples for evaluation; please contact our sales representatives.

Yes. Our infrastructure supports concurrent large-scale collection across multiple domains, platforms, and source types simultaneously. Whether you need product images from eCommerce sites, video from public media platforms, or documents from regulatory portals, pipelines run in parallel at any volume.

Yes. Through our Web Archive and dataset products, we provide access to historical web content going back up to 1 year for most sources, enabling teams to build training datasets that capture visual diversity across time periods and contexts.

Start building your visual AI training dataset today.