El endpoint POST Solver by Image URL devuelve un objeto JSON que contiene el estado de la solicitud y el texto reconocido del captcha, si es exitoso. El endpoint GET Captcha Resolver devuelve un objeto JSON que indica si se encontró texto en la imagen, junto con un código de error y un mensaje si corresponde.

Los campos clave en la respuesta POST incluyen "status" (que indica éxito o error) y "message" (que proporciona detalles). En la respuesta GET, "status" indica éxito, "errorCode" proporciona un identificador de error numérico y "errorMessage" describe el problema encontrado.

Los datos de respuesta están estructurados en formato JSON. Para el punto final POST, típicamente incluye "status" y "message". Para el punto final GET, incluye "status", "errorCode" y "errorMessage", lo que permite a los usuarios analizar y entender fácilmente los resultados.

El parámetro principal para ambos puntos finales es la URL de la imagen del captcha de SolveMedia. Los usuarios deben proporcionar una URL válida para recibir el texto correspondiente o mensajes de error relacionados con el captcha.

Los usuarios pueden personalizar sus solicitudes al proporcionar diferentes URL de imágenes a los endpoints. Esto les permite dirigirse a captchas específicos que desean eludir, lo que habilita flexibilidad en sus casos de uso.

Los casos de uso típicos incluyen la automatización del acceso a sitios web que utilizan captchas de SolveMedia, la creación de bots para la extracción de datos o la integración de funcionalidades para eludir captchas en aplicaciones que requieren la interacción del usuario con contenido protegido por captcha.

Si la respuesta indica un error o que no se encontró texto (por ejemplo, "errorCode": 404), los usuarios deberían verificar la validez de la URL de la imagen o considerar que el captcha puede ser demasiado complejo para reconocer. Puede ser necesario implementar lógica de reintento o métodos alternativos para resolver el captcha.

La API se basa en algoritmos de reconocimiento de imágenes para interpretar el texto del captcha. Aunque no se detallan controles de calidad específicos, los usuarios deben ser conscientes de que la precisión puede variar según la complejidad del captcha y la calidad de la imagen. Las actualizaciones regulares de los algoritmos de reconocimiento ayudan a mantener el rendimiento.

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