Los revisores de vídeo pierden tiempo buscando el momento exacto al que se refiere un comentario impreciso. Hive AI Proofing analiza la línea de tiempo, inspecciona los fotogramas y las regiones visuales seleccionadas, lee el texto en pantalla y vincula cada sugerencia al momento preciso que el equipo debe revisar.
EL NUEVO DÍA DE TRABAJO
LESS
ADMIN.
3
00:18
00:30
Desde la primera pasada hasta la aprobación humana final
El trabajo es diferente. El estándar sigue siendo visible.
01
Publicidad y vídeo regulado
Anuncios DTC
TRANSMISIÓN
INFORMACIÓN RELEVANTE
RECLAMACIONES
02
Versiones cortas para redes sociales y campañas
SOCIAL
MEDIOS PAGADOS
PANTALLAS FINALES
ZONAS SEGURAS
03
Demostraciones y capacitación de productos
DEMOSTRACIONES DE PRODUCTO
INCORPORACIÓN
CÓMO HACER
ENTRENAMIENTO
04
Cortes localizados y accesibles
Revise los subtítulos visibles, los rótulos inferiores, el texto en pantalla traducido, el recorte de texto, el contraste y otros detalles de accesibilidad visual.
SUBTÍTULOS
LOCALIZACIÓN
TERCIOS INFERIORES
LEGIBILIDAD
Cómo la IA acelera la revisión
Menos buscar. Más decidir.
01
Prueba toda la línea de tiempo
Buzz crea cobertura en todo el vídeo y, a continuación, vuelve a analizar los fotogramas seleccionados y las regiones de alta resolución cuando un problema requiere un examen más detallado.
02
Buscar lo que aparece en pantalla
La inspección asistida por OCR ayuda a localizar textos visibles, logotipos, descargos de responsabilidad, URL y otros detalles sin tener que depender únicamente de la revisión manual.
03
Comenta en el momento exacto
Cada hallazgo visual incluye pruebas temporales para que los editores y revisores puedan ir directamente al fotograma correspondiente y resolverlo.
Qué puede ayudar a comprobar Buzz
Revisa los detalles que la gente no debería tener que buscar dos veces.
01
Aclaraciones en pantalla, descargos de responsabilidad, pantallas finales y lenguaje aprobado
02
Visibilidad de los subtítulos, contraste del texto, tamaño, duración y legibilidad
03
Uso del logotipo, áreas de seguridad, faldones y jerarquía visual
04
La interfaz de usuario recortada, las colisiones de diseño y el texto de pantalla desactualizado
05
Ampliación de textos localizados y variaciones específicas de canales
06
Alineación con las directrices, comentarios previos y pruebas con marca de tiempo
Evidencia por encima de conjeturas
Los casos de uso de reseñas de video reales cobran vida en los fotogramas.
Preguntas frecuentes
Antes de entregarlo.
What are real use cases for AI video review?
Useful cases include advertising and regulated-video checks, social cutdowns, product demos, training and how-to videos, localized versions, captioned cuts, webinars, and customer stories. The strongest workflows focus on visible evidence such as on-screen text, disclaimers, logos, layouts, and time-coded changes.
How does AI speed up video proofing?
AI can sample the timeline, inspect targeted frames, search visible on-screen text, and attach a finding to the relevant moment. Reviewers spend less time hunting for context and more time evaluating the issue.
Does Hive review a video’s audio?
This experience is focused on visual video proofing: frames, regions, on-screen text, visible captions, layout, brand use, and time-coded evidence. Audio, transcript, and final compliance checks should remain part of your broader human review workflow.
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