FineParser Enterprise fait actuellement l’objet d’une phase de test restreinte auprès d’un nombre limité de clients et n’est pas encore disponible au public. Cette documentation est publiée à l’intention des clients participants. Les fonctionnalités et la disponibilité sont susceptibles d’évoluer d’ici la disponibilité générale.
FineParser Enterprise exécute FineParser sur Kubernetes en tant que service évolutif. Les applications envoient leurs documents à un point de terminaison HTTP unique, et un pool de processus de traitement dédiés à la reconnaissance s’agrandit ou se réduit en fonction de la file d’attente. Les PDF volumineux sont divisés en parties, reconnus en parallèle, puis fusionnés en un seul résultat par format.Il est distribué via AWS Marketplace sous la forme d’un chart Helm, fineparser-enterprise, qui s’exécute sur Amazon EKS. L’utilisation est facturée via AWS Marketplace, à l’heure de pod de traitement.
Démarrage rapide
Installez le chart et analysez votre premier document.
Mise à l’échelle
Comment le pool de processus de traitement est dimensionné.
L’API HTTP. Reçoit les documents et fournit les résultats.
Orchestrator
Gère la file d’attente des tâches et ajuste la taille du pool de processus de traitement. S’exécute en un seul réplica.
Worker
Reconnaît les documents avec FineReader Engine. Passe de zéro à scaling.maxWorkers instances.
Un client soumet des documents à ingest et obtient un ID de tâche pour chacun. Les PDF de plus de 25 pages sont divisés en parties, que les unités de traitement reconnaissent en parallèle, puis les résultats fusionnés sont écrits dans le volume de sortie. Le client interroge périodiquement la tâche et télécharge ses résultats. Pour les volumes utilisés, voir Stockage.
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