Saltar al contenido

Datos para la IA

Datos de formación multimodal

Datos de vídeo para la capacitación de IA

Convierta un objetivo definido de modelo en registros de vídeo seleccionados con audio alineado, transcripciones, clips y metadatos entregados una vez o mantenidos actualizados a medida que su programa evoluciona.

01 · DefineDescribe the model moment

Turn abstract coverage goals into subjects, actions, settings, languages, and timeframes.

02 · InspectReview the complete record

See the media, transcript, provenance, metadata, and acceptance state before volume expands.

03 · OperateKeep supply moving

Choose a one-time collection or recurring delivery while WebScrapingAPI runs the data operation.

Aplicación de la carga de trabajo

Construir el suministro de medios alrededor del trabajo modelo.

Los diferentes programas de modelo necesitan momentos, modalidades y contexto diferentes.
01

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
02

Video language models

Align visual sequences with captions, transcripts, and contextual metadata for multimodal models.

  • Timestamped text context
  • Clip-level observations
  • Source-linked records
03

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
04

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
Explore VLA Video Data

El resumen de datos

Hacer más videos una solicitud medible.

Un breve útil describe la evidencia que su equipo modelo necesita ver, no sólo una lista de sitios web.
Bring us your target scenarios
01
Model objective

Training, fine-tuning, evaluation, or retrieval.

02
Scenario

Subjects, actions, events, domains, and environments.

03
Media profile

Duration, resolution, orientation, audio, and point of view.

04
Coverage mix

Markets, languages, time windows, and source categories.

05
Record contract

Files, transcript, metadata, labels, and provenance.

06
Supply horizon

One-time build, recurring refresh, or continuous intake.

Descubrimiento y selección

Encuentra los momentos que coinciden, no sólo las páginas que los mencionan.

Combine criterios de origen con señales de nivel de medios para que los revisores puedan ver por qué cada candidato pertenece al 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 shortlisted
Secuencia de preparación de vegetalesoverhead · 00:42 · en-US
  • action match
  • clean view
  • audio present
shortlist
Tutorial de ensamblaje de ingredientesangled view · 01:08 · en-GB
  • subject match
  • captions present
review
Muestra de cocina comercialwide view · 00:35 · de-DE
  • action match
  • market match
review

Resultados de registro

Mantenga cada modalidad alineada con un registro estable.

La entrega puede preservar el contexto de los medios originales mientras empaque solo los componentes que su flujo de trabajo a continuación necesita.
01

Video and selected clips

Source media or selected segments with stable identifiers and timeframe context.

02

Audio and transcript

Aligned audio tracks, available captions, or program-defined transcript outputs.

03

Metadata and provenance

Source URL, capture time, media attributes, filter context, and record state.

04

Manifest and quality state

A machine-readable inventory that connects files, fields, versions, and acceptance results.

Explore the multimodal record model

Suministro de datos operativo

Su equipo define la señal y nosotros dirigimos la operación de medios.

WebScrapingAPI opera la recogida, extracción, preparación de clip, monitoreo de calidad, mantenimiento del cambio de fuente y entrega para el programa gestionado.
01
Translate the brief

Turn model requirements into sources, discovery criteria, record fields, and acceptance rules.

WSA
02
Build and review a sample

Give data and model teams representative media records to inspect together.

Shared review
03
Operate collection

Run source connectors, media capture, extraction, segmentation, and record assembly.

WSA
04
Monitor and deliver

Track collection health, validate the defined quality rules, and package each delivery.

WSA

Diseño de entrega

Ajusta el suministro a tu línea de entrenamiento.

Cada lote llega con archivos predecibles, identificadores, metadatos y un manifiesto en el destino seguro seleccionado.
MEDIAVideo + audio

Source files or selected clips, organized by stable record identifier.

CONTEXTText + metadata

Transcripts, captions, source context, and defined descriptive fields.

CONTROLManifest + states

Record inventory, versions, acceptance results, and exception states.

DESTINATIONYour secure environment

Packaged for the storage or ingestion path selected with your team.

Cómo empezar

Elige el camino más corto para grabar videos útiles.

Comience con un paquete preparado, forme una colección repetible o deje la operación completa de suministro.
READY

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
Explore AI Data Packages
FULLY OPERATED

Managed collection

Let WebScrapingAPI run source discovery, collection, media preparation, quality monitoring, and delivery.

  • Named operating ownership
  • Source-change maintenance
  • Delivery-ready records
Explore Managed Data

Precios del programa

Precio de la fuente de datosno un conteo de medios abstracto.

Comparta sus escenarios prioritarios y el horizonte de entrega.
What shapes the program
01Scenario specificityHow narrowly actions, environments, and media profiles are defined.
02Source and coverage mixSources, markets, languages, time windows, and diversity dimensions.
03Record preparationClipping, audio separation, transcripts, metadata, and quality rules.
04Delivery horizonOne-time dataset, recurring refresh, or continuous collection program.

Preguntas de los compradores

Evaluar el programa con sus equipos de datos y modelos.

Respuestas claras sobre el contenido de los registros, diseño de cobertura, propiedad operativa, entrega y próximos pasos.
Ask a video data specialist
What 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.

Comience con medios representativos

Muéstranos los momentos de los que tu modelo necesita aprender.

Traiga sus escenarios prioritarios, dimensiones de cobertura y forma de registro preferida.