Foundation video models
Build varied records across selected subjects, activities, formats, markets, and time windows.
- Long-form and short-form media
- Defined diversity dimensions
- Training and evaluation splits
Dados sobre formação multimodal
Dados de vídeo para treinamento de modelos de IA
Receba clipes de vídeo, áudio, transcrições e metadados para treinamento de IA. Defina as cenas necessárias e analise uma amostra antes de escolher entrega única ou recorrente.
01 · DefineDescribe the model moment
Turn abstract coverage goals into subjects, actions, settings, languages, and timeframes.
02 · InspecçãoReview the complete record
See the media, transcript, provenance, metadata, and acceptance state before volume expands.
03 · OperaçãoKeep supply moving
Choose a one-time collection or recurring delivery while WebScrapingAPI runs the data operation.
A carga de trabalho
Construir a fonte de mídia em torno do trabalho modelo.
Diferentes programas de modelo precisam de momentos, modalidades e contexto diferentes. Comece com a decisão que a sua equipe precisa dos dados para apoiar.
Video language models
Align visual sequences with captions, transcripts, and contextual metadata for multimodal models.
- Timestamped text context
- Clip-level observations
- Source-linked records
Speech and audio systems
Separate audio from relevant video sources while retaining language, source, and timing context.
- Audio tracks and captions
- Language and domain filters
- Aligned media identifiers
Physical AI and world models
Collect scenario-led clips where actions, environments, point of view, and time boundaries matter.
- Robotics scenarios
- Autonomous mobility contexts
- Action-focused segments
O resumo dos dados
Fazer de mais vídeo um pedido mensurável.
Um breve útil descreve as evidências que a sua equipa modelo precisa ver, não apenas uma lista de sites.
Bring us your target scenariosModel objective
Training, fine-tuning, evaluation, or retrieval.
Scenario
Subjects, actions, events, domains, and environments.
Media profile
Duration, resolution, orientation, audio, and point of view.
Coverage mix
Markets, languages, time windows, and source categories.
Fields and sample records
Files, transcript, metadata, labels, and provenance.
Supply horizon
One-time build, recurring refresh, or continuous intake.
Descoberta e selecção
Encontrar os momentos que correspondem, não apenas as páginas que os mencionam.
Combine critérios de origem com sinais de nível de mídia para que os revisores possam ver por que cada candidato pertence ao programa.
Filter dimensions
Subject and actionwhat appears or happens
Environmentsetting and conditions
Language and marketspeech and source context
Time windowpublication and capture date
Media profileduration, orientation, quality
Candidate reviewKitchen task · overhead preparation
3 shortlistedSeqüência de preparação de vegetaisoverhead · 00:42 · en-US
- action match
- clean view
- audio present
Tutorial de montagem de ingredientesangled view · 01:08 · en-GB
- subject match
- captions present
Demonstração de cozinha comercialwide view · 00:35 · de-DE
- action match
- market match
Registros de saída
Mantém todas as modalidades alinhadas a um registro estável.
A entrega pode preservar o contexto original da mídia, enquanto empacotando apenas os componentes necessários ao fluxo de trabalho.
Video and selected clips
Source media or selected segments with stable identifiers and timeframe context.
Audio and transcript
Aligned audio tracks, available captions, or program-defined transcript outputs.
Metadata and provenance
Source URL, capture time, media attributes, filter context, and record state.
Manifest and quality state
A machine-readable inventory that connects files, fields, versions, and acceptance results.
Suporte de dados operacionais
A sua equipa define o sinal, nós dirigimos a operação da mídia.
WebScrapingAPI opera a recolha, extração, preparação de clipes, monitoramento da qualidade, manutenção da mudança de fonte e entrega para o programa gerenciado.
Translate the brief
WSATurn model requirements into sources, discovery criteria, record fields, and acceptance rules.
Build and review a sample
Shared reviewGive data and model teams representative media records to inspect together.
Operate collection
WSARun source connectors, media capture, extraction, segmentation, and record assembly.
Monitor and deliver
WSATrack collection health, validate the defined quality rules, and package each delivery.
Design de entrega
Ajuste o suprimento à sua linha de treinamento.
Cada lote chega com arquivos previsíveis, identificadores, metadados e um manifesto no destino seguro selecionado.
Source files or selected clips, organized by stable record identifier.
Transcripts, captions, source context, and defined descriptive fields.
Record inventory, versions, acceptance results, and exception states.
Packaged for the storage or ingestion path selected with your team.
- Como começar
Escolha o caminho mais curto para gravações de vídeo úteis.
Comece com um pacote preparado, forme uma coleção repetível ou entregue a operação completa de abastecimento.
AI Data Packages
Begin with an existing data family when its source mix, schema, history, and media coverage match your workload.
- Review sample records
- Select a delivery snapshot
- Move quickly into evaluation
Recurring video supply
Set the scenario mix, sources, record contract, quality rules, and refresh cadence for a repeatable program.
- Model-specific brief
- Consistent record design
- One-time or recurring delivery
Managed collection
Let WebScrapingAPI run source discovery, collection, media preparation, quality monitoring, and delivery.
- A managed collection service
- Source-change maintenance
- Delivery-ready records
Preços do programa
Preço da fonte de dadosnão uma contagem de mídia abstrata.
Partilhe os seus cenários prioritários e o seu horizonte de entrega. Vamos desenhar um plano em torno do trabalho necessário para descobrir, preparar, validar e entregar registos úteis.
What shapes the program
01Scenario specificityQuão estreitamente são definidas as ações, os ambientes e os perfis de mídia.
02Source and coverage mixFontes, mercados, línguas, janelas de tempo e dimensões de diversidade.
03Record preparationClip, separação de áudio, transcrições, metadados e regras de qualidade.
04Delivery horizonconjunto de dados único, atualização recorrente ou programa de coleta contínua.
Perguntas dos compradores
Avalie o programa com os seus dados e equipes de modelos.
Resposta clara sobre o conteúdo dos registos, a concepção da cobertura, a propriedade operacional, a entrega e os próximos passos.
Ask a video data specialistWhat can a video data record include?
Each accepted record can include the source video or selected clip, audio, transcript or captions, thumbnail, source URL, capture time, and the metadata fields defined for your program.
Can delivery be one-time or recurring?
Yes. Choose a one-time dataset for a defined training or evaluation window, or recurring delivery when the source universe and model program need fresh records over time.
How do we define the right video coverage?
Start with the model task, subject matter, actions, environments, markets, languages, dates, duration range, point of view, and media quality that matter. WebScrapingAPI turns those priorities into a measurable collection brief and sample set.
Who maintains collection and quality?
WebScrapingAPI handles collection, extraction, clip preparation, quality monitoring, source-change maintenance, and delivery for the managed program. Your team reviews samples and accepts the record design before production.
Where can the data be delivered?
Records are packaged for a selected secure destination with a clear manifest, stable identifiers, and the media and metadata layout chosen for your downstream pipeline.
How do we evaluate fit before launch?
Share a representative brief and priority scenarios. We return a sample plan that lets your data and model teams review coverage, media quality, record structure, and delivery shape before selecting a production path.
Is this the same as VLA video data?
VLA programs add action, environment, point-of-view, and time-boundary requirements for physical AI workloads. Use the dedicated VLA Video Data page when robotics, autonomous mobility, or world models are central to the brief.
Comece com os meios de comunicação representativos
Mostre-nos os momentos em que o seu modelo precisa aprender.
Traga os seus cenários prioritários, dimensões de cobertura e forma preferida de registro.