Compare the Top AI Summarizers that integrate with Parallel AI as of October 2025

This a list of AI Summarizers that integrate with Parallel AI. Use the filters on the left to add additional filters for products that have integrations with Parallel AI. View the products that work with Parallel AI in the table below.

What are AI Summarizers for Parallel AI?

Artificial Intelligence (AI) summarizers, also known as AI summary generators, are rapidly evolving software tools for automatically condensing text into shorter summaries. AI summary algorithms work by extracting key phrases, facts, and sentences from the original source material. These summaries can provide a quickly digested overview of longer texts while preserving their main ideas and arguments. AI summarizers typically offer high accuracy, but they also require high levels of computing power and may still need some human assistance to get the most precise results possible. Compare and read user reviews of the best AI Summarizers for Parallel AI currently available using the table below. This list is updated regularly.

  • 1
    Notion

    Notion

    Notion Labs

    Notion is a highly versatile and collaborative workspace designed to help individuals and teams manage documents, wikis, projects, and tasks efficiently. It offers a wide array of features like customizable views for workflows, project tracking, and document creation, all within a single platform. Notion allows users to create a shared knowledge base, organize notes, and collaborate seamlessly on content creation. Additionally, its built-in AI assistance features help users summarize, write, and instantly search for relevant content, significantly enhancing productivity. The platform integrates effortlessly with other popular apps such as Slack, Google Drive, and Trello, providing a seamless experience for teams looking for an all-in-one platform to manage their projects, goals, and knowledge in an organized, collaborative environment.
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    Starting Price: $12/user/month
  • 2
    GPT-4

    GPT-4

    OpenAI

    GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.
    Starting Price: $0.0200 per 1000 tokens
  • 3
    GPT-3.5

    GPT-3.5

    OpenAI

    GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.
    Starting Price: $0.0200 per 1000 tokens
  • 4
    Claude

    Claude

    Anthropic

    Claude is an artificial intelligence large language model that can process and generate human-like text. Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues. For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.
    Starting Price: Free
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