Best Keyword Extraction APIs in 2024

What is Keyword Extraction?

Keyword Extraction API allows users to extract important keywords or phrases from a given text or document. The API takes in a piece of text as input and returns a list of keywords that are deemed to be the most relevant or representative of the content.

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Keyword Extraction APIs typically leverage natural language processing (NLP) techniques and machine learning algorithms to identify and rank the most important keywords. These algorithms may consider factors such as term frequency, term relevance, contextual information, and statistical patterns to determine the significance of each keyword. With this technology, users can automate the process of identifying key concepts within a large volume of text, enabling them to analyze and organize textual data more effectively.

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Keyword Extraction APIs uses cases

You can use Keyword Extraction in numerous fields, here are some examples of common use cases:

• SEO and Content Optimization: help identify relevant keywords and phrases that can improve search engine optimization (SEO) efforts. By extracting keywords from web content, marketers can optimize their website content, meta tags, and headings to increase visibility and drive organic traffic.
• Information Retrieval and Document Indexing: enables the indexing of documents based on key concepts and terms, facilitating efficient search and retrieval. By extracting important keywords, search engines and document management systems can index and organize information effectively.
• Text Summarization: assist in generating concise summaries of lengthy documents or articles. By identifying the most significant keywords or phrases, a summarization algorithm can prioritize and include them in the summary, capturing the main points of the text.
• Market Research and Trend Analysis: analyze large volumes of customer reviews, social media posts, or survey responses. By extracting prominent keywords, companies can gain insights into customer opinions, preferences, and emerging trends, helping them make informed business decisions.
• Fraud Detection and Security: identify suspicious patterns or keywords related to potential fraud or security breaches. By extracting and analyzing keywords from communication logs, transactions, or user inputs, systems can flag and investigate potential threats.

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Top Keyword Extraction APIs on the market

While comparing Keyword Extraction APIs, it is crucial to consider different aspects, among others, cost security and privacy. Keyword Extraction experts at Eden AI tested, compared, and used many Keyword Extraction APIs of the market. Here are some actors that perform well (in alphabetical order):

• AWS
• Emvista
• IBM Watson
• Microsoft Azure
• MonkeyLearn
• NLP Cloud
• OneAI
• OpenAI
• Tenstorrent
• Twinword

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1. AWS - Available on Eden AI

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AWS’s API stands as a reliable and efficient choice with scalable infrastructure. AWS also provides advanced customization options, allowing users to fine-tune the keyword extraction model to their specific needs. Additionally, AWS offers seamless integration with other AWS services, enabling a comprehensive and unified data processing pipeline.

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2. Emvista - Available on Eden AI

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The API leverages state-of-the-art NLP techniques and machine learning algorithms to analyze text and identify the most relevant and significant keywords. Emvista also offers a Verbatim Analysis solution that delivers an ordered list of the most relevant keywords within a given context. With this powerful solution, users can easily identify the keywords that hold the highest relevance.

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3. IBM Watson - Available on Eden AI

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Leveraging IBM's vast expertise in AI and machine learning, the API effectively identifies and ranks the most relevant keywords within a text, across multiple languages and domains. With advanced NLP algorithms, IBM ensures exceptional accuracy for keyword research output.

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4. Microsoft Azure - Available on Eden AI

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With Azure's keyword extraction API, users can easily extract essential keywords and key phrases from text documents, enabling efficient information retrieval and analysis. The API's robustness and accuracy stem from Microsoft's extensive expertise in language understanding and NLP research.

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5. MonkeyLearn

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MonkeyLearn can accurately identify relevant keywords and filter out noise, thanks to its advanced machine learning algorithms. The API's customization options allow users to fine-tune the keyword extraction model according to their specific requirements, ensuring precise and tailored results.

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6. NLP Cloud - Available on Eden AI

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NLP Cloud leverage state-of-the-art NLP algorithms to ensure highly accurate keyword identification, even in complex and diverse language contexts. Additionally, NLP Cloud provides robust language support, making it suitable for multilingual applications.

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7. OneAI - Available on Eden AI

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By eliminating stop words in textual data, OneAI prioritizes important terms and identifies the most relevant keywords based on frequency and context. The extracted keywords are then presented in a list, ordered by relevance. This versatile functionality lends itself to applications like text summarization, information retrieval, and sentiment analysis.

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8. OpenAI - Available on Eden AI

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Leveraging state-of-the-art language models like GPT-3.5, OpenAI delivers highly accurate keyword identification with contextual understanding. With support for multiple languages and extensive training on vast datasets, OpenAI's API offers unmatched performance and adaptability for precise keyword extraction.

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9. Tenstorrent - Available on Eden AI

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Leveraging advanced natural language processing (NLP) capabilities, Tenstorrent's API harnesses the power of AI to deliver accurate and actionable keyword extraction, providing a seamless and efficient solution for text analysis and information retrieval. With a focus on precision and versatility, Tenstorrent's Keyword Extraction API is designed to enhance data-driven processes and enable users to extract meaningful information from textual content.

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10.Twinword

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With Twinword, users gain access to a powerful and accurate keyword extraction tool that utilizes advanced NLP techniques. The API employs a combination of statistical analysis, machine learning algorithms, and semantic analysis to identify and extract relevant keywords from text input.

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Performance variations of Keyword Extraction APIs

For all companies who use Keyword Extraction in their software: cost and performance are real concerns. The Keyword Extraction market is quite dense and all those providers have their benefits and weaknesses.

Performances of Keyword Extraction vary according to the specificity of data used by each AI engine for their model training. This means that some Keyword Extraction may perform great for some languages but won’t necessarily for others.

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Performance variations across languages

Keyword Extraction APIs perform differently depending on the language of the text and some providers are specialized in specific languages. Different specificities exist:

• Region specialties: some Keyword Extraction APIs improve their machine learning algorithm to make them accurate for text in specific languages spoken in particular countries or regions. For example, some 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 (Korean, Japanese, Chinese, etc.).
• Rare language specialty: some Keyword Extraction providers care about rare languages and dialects. You can find Keyword Extraction APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.

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Performance variations according to fields

Some Keyword Extraction APIs trained their engine with specific data. This means that some Keyword Extraction APIs will perform better for news articles, while others will perform better on medical or legal documents.

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Why choose Eden AI to manage your Keyword Extraction 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 Keyword Extraction 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 API, Summarization, Question Answering, Data Anonymization, Speech Recognition, and so forth.

We want our users to have access to multiple Keyword Extraction 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 :

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• ‍Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Keyword Extraction 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 Keyword Extraction API.
• ‍Cost - Performance ratio optimization: You can choose the cheapest Keyword Extraction 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 Keyword Extraction APIs will validate and invalidate each other for each piece of data.

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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.

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• Centralized and fully monitored billing on Eden AI for all Keyword Extraction 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.

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You can see Eden AI documentation here.

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Next step in your project

The Eden AI team can help you with your Keyword Extraction 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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