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AI data infrastructure

Structured YouTube video data delivery for AI training pipelines

Building high-quality video datasets for training, fine-tuning, or multimodal research requires clean, structured, reproducible delivery — not a patchwork of scripts. StormKeep delivers video files, transcripts (where available), metadata, hashes, and JSONL manifests directly into your S3, GCS, or Azure destination, scoped to sources your team defines.

StormKeep is a delivery service, not a content marketplace. Customers are responsible for ensuring they have the right to use requested sources for their intended purpose.

The problem

Collecting video data at YouTube scale is not just about volume — it is about structure, reproducibility, and source governance. Common pain points include brittle scripts, inconsistent metadata formats across runs, missing manifests, and unclear provenance signals.

Inconsistent output

Different runs produce different schemas, file names, or missing fields without a strict packaging contract.

No dataset index

Without manifests, ingestion and dataset versioning becomes manual and error-prone.

Source governance

Teams need a workflow for approved sources and scoped collection, not open-ended crawling.

What StormKeep delivers

A managed pipeline for structured video data — from your approved sources into your cloud.

Deliverable Format Use in AI pipelines
Video filesMP4Training datasets, evaluation sets, multimodal research
Transcripts/captionsVTT / TXTASR benchmarking, retrieval, NLP pretraining (where appropriate)
MetadataJSONFiltering, dataset curation, attribution tracking
ThumbnailsJPGVisual classification, multimodal inputs
Hashes + timestampsPer file / UTCIntegrity checks, provenance signals, dataset versioning
Delivery manifestJSONL / CSVDataset registries, pipeline ingestion, reporting

Workflow

Scoped inputs. Consistent outputs. No pipeline to maintain.

  1. 1
    Define source scope

    Approved channels, playlists, or curated URL lists.

  2. 2
    Set output contract

    Quality tier, transcript formats, metadata fields, manifest schema.

  3. 3
    Deliver into cloud

    S3, GCS, Azure Blob, or SFTP — customer-controlled destinations.

  4. 4
    Ingest and iterate

    Use manifests for ingestion, versioning, and refresh jobs on a defined cadence.

Compliance and source responsibility

Managed delivery does not substitute for source review. StormKeep operates as a delivery service scoped to sources customers provide. We do not select, suggest, or endorse content sources.

FAQ

Do you provide pre-built or licensed datasets?

No. StormKeep delivers from customer-defined sources into customer-controlled destinations.

Can you refresh datasets on a schedule?

Yes. Recurring delivery jobs can be configured for defined sources and cadence.

How do manifests help ingestion?

JSONL manifests provide a consistent index for dataset registries and downstream processing.

Can we omit video files and deliver transcripts only?

Delivery parameters are configurable. Contact the team to discuss your output requirements.

How does this compare to DIY scripts?

DIY approaches require ongoing maintenance and produce inconsistent output formats. StormKeep is managed delivery with a defined output contract and support relationship.

Build cleaner YouTube video datasets without operating the pipeline

StormKeep delivers structured artifacts and manifests into your cloud for training and evaluation workflows.