What is Text summarization?
Text summarization is a type of Natural Language Processing (NLP) that automatically generates a concise summary of a longer document or text. The goal of summarization is to condense large amounts of information into a shorter, more manageable format while retaining the most important and relevant details.
Summarization APIs can be used to summarize news articles, research papers, customer feedback, and other forms of written content. They can be integrated into various systems and platforms such as content management, customer relationship management (CRM), and information retrieval.
Some Summarization APIs uses cases
You can use text summarization in numerous fields, here are some examples of common use cases:
- Business and finance: quickly extract key information from financial reports, earnings call transcripts, and other financial documents.
- Education: summarize complex academic papers and research articles, making it easier for students and educators to understand the main ideas and implications.
- Healthcare: extract important information from medical articles and research papers, making it easier for healthcare professionals to stay informed about the latest developments in their field.
- Legal: extract key information from legal documents, such as contracts, court transcripts, and legal briefs, saving time and effort for lawyers and legal researchers.
- Marketing and advertising: extract valuable insights from market research reports and consumer surveys, allowing marketing teams to make informed decisions and stay ahead of the competition.
- News and media: automatically summarize long news articles into shorter, more concise versions for quick consumption by busy readers.
Top Text Summarization APIs on the market
While comparing Summarization APIs, it is crucial to consider different aspects, among others, cost security and privacy. NLP experts at Eden AI tested, compared, and used many Summarization APIs of the market. Here are some actors that perform well (in alphabetical order):
- Cohere
- Connexun
- DeepAI
- MeaningCloud Text Analytics
- Microsoft Azure Cognitive Services
- NLP Cloud
- OneAI
- Open AI
- plnia
1. Cohere
Cohere's API is known for its ability to produce accurate and concise summaries that capture the most important information in a given piece of content. Cohere uses advanced Machine Learning techniques to generate summaries that are both informative and engaging.
2. Connexun
Connexun offers a summarization API that is particularly effective for generating summaries of news articles and other media content. The API uses more than 13000 human-written summaries to found dependencies and generate summaries that are both concise and informative.
3. DeepAI
DeepAI's feature is designed to provide quick and accurate summaries for large volumes of text. It uses advanced algorithms to identify the most important information of the given text, aiming to reduce the size to 20% of the original.
4. MeaningCloud Text Analytics
MeaningCloud's summarization API is known for its accuracy and versatility. This technology can generate summaries in multiple languages and can handle a wide range of content types, including web pages, articles, and social media posts.
5. Microsoft Azure Cognitive Services
This API is part of Microsoft’s larger suite of cognitive services. It performs most effectively in generating summaries of news articles and other media content in both extractive and abstractive types. In addition, the API can generate summaries in multiple languages.
6. NLP Cloud
NLP Cloud provides an API that can generate high-quality summaries of long-form content in multiple languages. It also offers the ability to customize the summarization process based on specific requirements and preferences.
7. OneAI
OneAI's summarization API is designed to provide accurate and concise summaries of text-based content. Users can specify the length of the summary, and the API will automatically generate a summary that captures the most important information in the text. Additionally, it has the ability to summarize content in multiple languages, including English, Spanish, German, and French.
8. Open AI
Open AI offers the GPT-3 Summarization API, which produces abstractive summaries that can go beyond simply selecting and combining sentences from the original text. The model is known for its ability to generate high-quality and human-like summaries of large volumes of text.
9. plnia
plnia's Text Summarization API is based on both advanced NLP and intelligent Machine Learning technologies, which allows it to quickly and accurately summarize long pieces of content. The feature focuses on summarizing long text blocks, documents, and articles.
Performance variations of Text Summarization APIs
For all companies who use Text Summarization in their software: cost and performance are real concerns. The text summarization API market is quite dense and all those providers have their benefits and weaknesses.
Performances of Summarization vary according to the specificity of data used by each AI engine for their model training. This means that some Summarization APIs may perform great for some languages but won’t necessarily for others.
Performance variations according to the languages
Text summarization APIs perform differently depending on the language of the text. In fact, some providers are specialized in specific languages. Different specificities exist in Region specialties: some summarization APIs improve their machine learning algorithm to make them accurate for text in a specific language. For example, some Summarization APIs perform well in English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages. Rare language specialty: some Summarization vendors care about rare languages and dialects. You can find Summarization APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.
Performance variations according to fields
Some text summarization APIs trained their engine with specific data. This means that some text summarization APIs will perform better for news articles, while others will perform better on technical documents.
Why choose Eden AI to manage your Text summarization APIs
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Summarization tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Question Answering, Data Anonymization, Speech recognition, and so forth.
We want our users to have access to multiple text summarization engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :
- Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main text summarization API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
- Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Summarization API.
- Cost - Performance ratio optimization: You can choose the cheapest Summarization provider that performs well for your data.
- Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because text summarization APIs will validate and invalidate each other for each piece of data.
How Eden AI can help you?
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for all text summarization APIs
- Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
- Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
- The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your Summarization integration project. This can be done by :
- Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
- By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
- By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
- Having the possibility to integrate on a third party platform: we can quickly develop connectors
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