Access structured video data from YouTube, TikTok, and other public platforms for VLM development, multimodal model training, robotics research, and video generation.
Custom coverage · fields · refresh cadence — tailored quote within 1 business day
Understand the data structure, available fields and media assets where included
Structured information for each video, including titles, creators, categories, publish time, descriptions, and engagement metrics.
Additional multimodal information to support content understanding, model training, and multimodal analysis.
Track original sources, platforms, and relationships between videos for better filtering, verification, and dataset management.
*Field and media availability may vary by platform, dataset scope and delivery model.
Choose the delivery method that fits your AI workflow — from ready-to-use datasets to customized collection and API-based access.
RecommendedPre-structured video data for AI development, research, and content intelligence.
Collect video data based on your specific requirements.
Connect to your existing workflow
{ "channel_id": "UCxyz123AbcDefGhiJklMnoPqr", "url": "https://www.youtube.com/@demo_channel_9988", "handle": "@demo_channel_9988"}Convert video URLs into organized datasets with key metadata and structured fields.
Source Tracking: Platform & reference data
Metadata Rich: Key fields & attributes
Flexible Export: JSON / CSV / Parquet
Send structured datasets directly to the cloud storage, database, or integration endpoint your team already uses, in the way that best fits your workflow.
Built for scalable AI development with reliable data sourcing, structured delivery and enterprise-ready workflows.
Access 17B+ indexed video URLs across YouTube, TikTok, and other public platforms, with coverage expanding across topics and sources.
Receive organized metadata, captions, transcripts, and related fields designed for training, evaluation, and analysis.
Customize data sources, categories, regions, fields, and delivery formats based on your project goals.
Choose ready-made datasets, API access, or customized delivery methods for seamless integration.
Data is cleaned, organized, and validated to support consistent AI training and evaluation.
Support public-source collection, privacy review, access controls, and client-specific governance requirements.
Train vision-language models with aligned video, audio, captions, transcripts, and metadata to improve visual understanding, reasoning, and multimodal interaction.
Build AI systems that can analyze, search, summarize, and retrieve information from large-scale video collections.
Provide diverse video examples with scene variations, motion patterns, and temporal information for training and evaluating video generation models.
Support robot learning with real-world video data, including human actions, object interactions, and environmental scenarios.
Start with a sample, then choose the coverage, fields, and delivery model that best fit your needs.
Each dataset contains ethically sourced, AI-ready content backed by verified creator consent. You will receive transcripts, subtitles, video and audio files, along with rich metadata—including upload date, view counts, and channel details.