Text Entities Extractor API

Text Entities Extractor API

Unlock the hidden treasures within the unstructured text with our Text Entities Extractor API. Harness the power of AI to effortlessly extract user-defined entities, from specific values like prices and dates to semantic answers like main topics or customer requests. With endless possibilities, your imagination is the only limit. Get ready to dive into a world of precise information retrieval with our powerful and customizable text parser.

About the API: 

Unleash the power of language with our Text Entities Extractor API. This cutting-edge solution combines the might of AI with advanced parsing techniques to extract custom user-defined entities from unstructured text. Say goodbye to manual extraction and embrace the efficiency and accuracy of automated text analysis.

Our API empowers you to extract a wide range of information from textual data. Whether you need to identify exact values such as prices, dates, names, emails, or phone numbers, or seek semantic answers like the main topic, diagnosis, or customer's request, our robust system has got you covered. The versatility of our API knows no bounds, making it an indispensable tool across various industries and applications.

How does it work? Our AI-powered text parser employs state-of-the-art natural language processing algorithms to comprehend and dissect unstructured text. Through advanced machine learning models, it swiftly identifies and extracts the entities that matter most to you. With remarkable precision and speed, you can now automate and streamline your data extraction processes, saving valuable time and resources.

What sets our Text Entities Extractor API apart is its flexibility and adaptability. We understand that every business has unique requirements, and thus, we empower you to define your own entities. Whether it's extracting customer feedback sentiment, analyzing product reviews, or monitoring social media mentions, our API can be easily tailored to suit your specific needs. The possibilities are truly endless, limited only by your imagination and use case.

Seamless integration is at the heart of our API's design. With comprehensive documentation and developer-friendly resources, you can effortlessly integrate our solution into your existing applications and workflows. Whether you're building a chatbot, conducting market research, or enhancing data analytics, our API provides the building blocks for success.

Data privacy and security are paramount to us. We ensure that your textual data remains confidential and secure throughout the extraction process. With robust encryption measures and industry-standard security protocols, you can trust that your sensitive information is in safe hands.

Experience the power of our Text Entities Extractor API and unlock the hidden insights within your unstructured text. Embrace automation, accuracy, and efficiency as you extract valuable entities, transforming raw data into actionable intelligence. Take your data analysis to new heights with our advanced AI-driven solution and gain a competitive edge in the fast-paced world of information extraction.


What this API receives and what your API provides (input/output)?


Pass the text that you want to extract the entities from. 


What are the most common uses cases of this API?

  1. Customer Support Automation: Integrate the Text Entities Extractor API into your customer support system to automatically extract and categorize customer requests. Identify key information such as product names, issue descriptions, and contact details, enabling efficient routing and quicker resolution of support tickets.

  2. Market Research and Sentiment Analysis: Analyze large volumes of unstructured text, such as social media posts, customer reviews, and survey responses, to extract valuable insights. Use the API to identify sentiment, extract product mentions, and categorize feedback, enabling you to make data-driven decisions and improve your products or services.

  3. Fraud Detection and Compliance: Employ the Text Entities Extractor API to analyze text data, such as financial transactions or insurance claims, to identify potential fraud indicators. Extract relevant entities like suspicious names, addresses, or descriptions, enabling proactive fraud detection and compliance with regulatory requirements.

  4. Content Classification and Tagging: Enhance content management systems or recommendation engines by automatically extracting entities from articles, blog posts, or documents. Categorize content based on topics, identify key features, or tag articles with relevant keywords, facilitating efficient content organization and personalized recommendations.

  5. E-commerce Product Catalog Enrichment: Streamline the process of building and maintaining an e-commerce product catalog by utilizing the API to extract entities like product names, descriptions, prices, and attributes from unstructured data sources. Automate catalog creation, update product information, and improve searchability and filtering options for a seamless shopping experience.


Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation

API Documentation


Input Text

  • Text to extract entities from.
  • Up to 50,000 characters long.

example: "The quick brown fox jumps over the lazy dog."

Input Entities:

  • An array of custom query entities to extract from the text, up to 12 entities per request.
  • Each entity entry is described by a JSON with 3-4 key-value pairs:
    • "description": a free text description of the entity, up to 100 characters long.
    • "type": desired entity value output format, any of: "string", "float", "integer" or "boolean".
    • "var_name": a descriptive entity variable name to be used in the output results, up to 40 characters long. It must start with a letter, followed by letters, digits, or underscores.
    • (optional) "valid_values": an array of valid extracted entity values - use it to limit the extracted entity value to one of pre-defined possible values. Up to 20 values, up to 40 characters each.

example: [{"description: "number of animals mentioned in text", "type": "integer", "var_name": num_of_animals"}]

POST https://zylalabs.com/api/2210/text+entities+extractor+api/2057/get+entities

Get Entities - Endpoint Features
Object Description
Request Body [Required] Json
Test Endpoint



Get Entities - CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/2210/text+entities+extractor+api/2057/get+entities' --header 'Authorization: Bearer YOUR_API_KEY' 
--data-raw '{
    "text": "John Doe is 32 years old, lives in California, and works as a professional fictional character",
    "entities": [
            "var_name": "first_name",
            "type": "string",
            "description": "first name of the person"
            "var_name": "last_name",
            "type": "string",
            "description": "last name of the person"
            "var_name": "age",
            "type": "integer",
            "description": "age of the person in years"
            "var_name": "state",
            "type": "string",
            "description": "US state of residence, format: 2 letters abbreviation"


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Entities Extractor API REST API, simply include your bearer token in the Authorization header.


Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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The API can handle input texts that are up to 50,000 characters long, allowing you to process substantial amounts of unstructured text data.

You can extract up to 12 custom query entities per API request. Each entity is defined by a JSON object with a description, type, variable name, and an optional list of valid values.

The "description" field allows you to provide a free-text description of the entity you want to extract. This description helps clarify the nature and purpose of the entity for better understanding and organization.

The API supports four types of entity value output formats: "string," "float," "integer," and "boolean." You can choose the appropriate format based on the nature of the entity you want to extract.

Yes, you can include the "valid_values" field in the entity JSON object to specify an array of pre-defined values. This feature ensures that the extracted entity value matches one of the specified valid values.

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