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Fovea

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Fovea convierte videos cargados en JSON estructurado que se ajusta al esquema que proporciones, mediante una aplicación web, una REST API o un servidor MCP. Está pensado para flujos de trabajo en los que equipos o agentes necesitan validar los datos extraídos del video antes de usarlos.

¿Qué es Fovea?

Fovea is a video-to-JSON API and companion web app that accepts a video plus a schema and returns JSON matching that schema. The product is positioned for teams and agents that need structured data from video without building an extraction pipeline themselves.

The service can be used through the web interface, a REST endpoint, or an MCP server. Fovea says responses are validated against the supplied schema before they are returned, and that any field in the schema can carry a timestamp when the use case needs direct reference back to the source video.

¿Qué puede hacer Fovea?

Schema-driven extraction

You define the shape of the output as a JSON Schema or a simpler schema sketch, and Fovea fills it with matching data instead of returning an unstructured summary.

Validated responses

The service validates each response against the supplied schema before returning it, so the output is meant to be consumed by code without a separate conformance step.

Web, API, and MCP access

Fovea can be used in a browser, via a single POST to the REST endpoint, or through an MCP server for supported clients such as Claude Code and Codex.

Timestamped fields

Any field in the schema can carry a timestamp, allowing extracted items to point back to specific moments in the source video.

Synchronous return path

The documentation says the extraction comes back on the same request, so there is no polling loop or webhook setup for the standard workflow.

Account and data handling controls

The site states that videos are deleted after the job finishes and that uploaded content is not used to train a model.

Casos de uso

“Meeting and standup capture”

Extract decisions, action items, participants, or a meeting summary from recorded meetings so the result can flow into notes, task systems, or internal tooling.

“Agent-driven video analysis”

Give an MCP client access to the extract tool so an agent can choose the schema it needs and pull structured facts from video on its own.

“Application integration with a single endpoint”

Send an uploaded file and a schema to the REST API when you want a lightweight integration path without an SDK or separate processing infrastructure.

“Timestamped review workflows”

Use timestamp fields when the output needs to support spot-checking or jumping directly to relevant moments in the video.

“Schema-first experimentation”

Try a shape in the web app before wiring it into code, which is useful when you are still deciding which fields the workflow should collect.

Preguntas frecuentes

Does Fovea require a full JSON Schema?

No. The site says you can provide either a full JSON Schema or a looser sketch of the shape you want back.

How do I integrate it with an agent?

Fovea exposes an MCP server that can be added in one line to supported clients such as Claude Code or Codex, and the agent then uses the extract tool with its own schema.

Does the API return results synchronously?

Yes. The documentation says the extraction comes back on the same request, so there is no polling flow in the normal API path.

What are the main limits on video length?

The docs state that Fovea accepts videos up to ten minutes at launch.

What happens to uploaded videos?

The site says videos are deleted once the job finishes, and that uploaded content is not used to train a model.

Datos rápidos

Category
Developer Tool
Primary interface
Web app, REST API, MCP server
Output
Validated JSON matching a supplied schema
Supported clients
Claude Code, Codex, any MCP client
Video limit at launch
Up to 10 minutes per video
Data handling
Videos deleted after processing; not used for training

Análisis de tráfico de Fovea

Los datos de tráfico son solo como referencia.

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