Question: Is there an API that can automate text classification with high accuracy and low latency?

If you need an API to classify text with high accuracy and low latency, Taylor is a great choice. It uses taxonomies that are widely adopted in the industry to categorize and label text data without any infrastructure or maintenance requirements. Taylor offers high accuracy (99.9%+) and low latency classification. It also offers easy integration through an API or spreadsheet integration and allows users to set custom labels. The API comes with a variety of pricing tiers, including a free tier, so it can be used for a range of needs.

If you need something more flexible, Predibase offers a platform to fine-tune and serve large language models (LLMs) for specific tasks like text classification. It supports a broad range of models and uses a pay-as-you-go pricing model based on model size and dataset used. The platform is geared for developers who need a cost-effective option with enterprise-grade security.

Last, NuMind offers a no-code machine learning platform for building text processing models without writing code. It supports multilingual data and offers high-quality text-understanding models that can be fine-tuned for specific needs. With features like no-code development and privacy protection, NuMind is good for a range of tasks, including text classification and sentiment analysis, and has flexible pricing.