Top Inappropriate Text Detection API alternatives in 2025

Top Inappropriate Text Detection API Alternatives in 2025

As the digital landscape evolves, the need for effective content moderation tools has become increasingly critical. Inappropriate text detection APIs play a vital role in ensuring safe online communication by identifying and filtering out harmful content. While the Inappropriate Text Detection API is a popular choice, there are several alternatives available that offer unique features and capabilities. This blog post will explore the best alternatives to the Inappropriate Text Detection API, detailing their functionalities, pricing, pros and cons, ideal use cases, and how they differ from the Inappropriate Text Detection API.

1. Offensive Text Detection API

The Offensive Text Detection API is designed to safeguard digital spaces by identifying and removing offensive content, promoting respectful communication and online safety. This API is essential for platforms that prioritize user experience and community standards.

Key Features and Capabilities

The primary feature of the Offensive Text Detection API is its ability to detect offensive text. To use this feature, developers must specify a word or text in the parameter. The API analyzes the input and returns a list of offensive words or phrases found in the submitted text.

["Offensive text"]

This response indicates the offensive content detected, allowing developers to take appropriate moderation actions.

Pros and Cons

Pros include its straightforward implementation and effectiveness in real-time moderation. However, it may not cover all languages or dialects, which could limit its applicability in diverse environments.

Ideal Use Cases

Typical use cases for the Offensive Text Detection API include moderating social media posts, filtering chat messages in real-time, and automating comment moderation on blogs and forums.

How It Differs from Inappropriate Text Detection API

While both APIs aim to filter offensive content, the Offensive Text Detection API focuses specifically on identifying offensive language, whereas the Inappropriate Text Detection API encompasses a broader range of harmful content, including hate speech and profanity.

2. Inappropriate Content Detection API

The Inappropriate Content Detection API ensures the integrity of digital spaces by detecting and eliminating inappropriate content, fostering respectful communication, and enhancing online safety.

Key Features and Capabilities

This API features a Detect Text capability, which requires users to specify a word or text in the parameter. The API analyzes the input and returns information on offensive language present in the submitted text.

["Offensive text"]

This response helps developers understand what content needs moderation and allows for tailored actions based on the identified offensive content.

Pros and Cons

Pros include its comprehensive detection capabilities and adaptability to various platforms. However, it may require more extensive configuration compared to simpler alternatives.

Ideal Use Cases

Common use cases include content moderation for forums, social media platforms, and any user-generated content environments.

How It Differs from Inappropriate Text Detection API

While both APIs focus on content moderation, the Inappropriate Content Detection API is more specialized in identifying specific types of inappropriate language, whereas the Inappropriate Text Detection API offers a broader detection scope.

3. Text In Image Detection API

The Text In Image Detection API is a powerful tool that detects and extracts text from images using Optical Character Recognition (OCR) technology. This API can be used for various purposes, such as automated image captioning and indexing images.

Key Features and Capabilities

The Text Detection feature allows users to detect text in the input image and convert it into machine-readable text. The response contains information about words or lines of text recognized in the image, the location of the detected text, and the accuracy of the geometry points around the detected text.

{"TextDetections": [{"DetectedText": "Sample text", "Type": "LINE", "Id": 0, "Confidence": 95.0, "Geometry": {"BoundingBox": {"Width": 0.5, "Height": 0.1, "Left": 0.1, "Top": 0.1}}}]}

This structured response allows developers to integrate the detected text into their applications effectively.

Pros and Cons

Pros include its ability to handle various image formats and languages, while cons may involve challenges with low-resolution images or complex text layouts.

Ideal Use Cases

Typical use cases include generating captions for social media images, processing invoices, and recognizing handwritten notes in educational settings.

How It Differs from Inappropriate Text Detection API

The Text In Image Detection API focuses on extracting text from images, while the Inappropriate Text Detection API is dedicated to analyzing and filtering text content for appropriateness.

4. AI Text Detector API

The AI Text Detector API leverages machine learning algorithms to analyze and detect whether a given text was generated by an AI model or a human. This API is valuable for detecting fake news and improving the quality of machine-generated text.

Key Features and Capabilities

The Get Probability feature allows users to insert the text they want to analyze. The API returns a confidence score indicating the likelihood that the text was generated by AI.

{"confidence":"low","language":"en","predicted_class":"human","probabilities":{"ai":0.2,"human":0.8}}

This response provides insights into the authorship of the text, helping users assess its authenticity.

Pros and Cons

Pros include its ability to detect AI-generated content effectively, while cons may involve limitations in recognizing subtle differences in writing styles.

Ideal Use Cases

Common use cases include content moderation, fraud detection in emails, and plagiarism checks in academic submissions.

How It Differs from Inappropriate Text Detection API

The AI Text Detector API focuses on authorship detection, while the Inappropriate Text Detection API is centered on identifying harmful content in text.

5. Chat GPT Text Detection API

The Chat GPT Text Detection API analyzes text to determine whether it was generated by ChatGPT or similar language models. This API is useful for content filtering and detecting fake news.

Key Features and Capabilities

The Text Analysis feature requires users to enter a text for analysis. The API returns a response indicating whether the text is AI-generated, along with a percentage score reflecting the extent of AI influence.

{"success":true,"data":{"ai":true,"percentage":85,"input":"Sample AI-generated text."}}

This response helps users understand the origin of the text and take appropriate actions based on its analysis.

Pros and Cons

Pros include its high accuracy in detecting AI-generated content, while cons may involve challenges in distinguishing between closely related writing styles.

Ideal Use Cases

Typical use cases include content filtering, fake news detection, and plagiarism detection in educational contexts.

How It Differs from Inappropriate Text Detection API

The Chat GPT Text Detection API specializes in identifying AI-generated text, whereas the Inappropriate Text Detection API focuses on filtering harmful content.

6. Text Moderation in Images API

The Text Moderation in Images API detects improper words in images, allowing platforms to filter unwanted content effectively.

Key Features and Capabilities

This API includes features such as Gore Detection, Nudity Detection, and WAD Detection (Weapons, Alcohol, Drugs). Users provide an image URL for analysis, and the API returns an analysis of the image, predicting if any text could be considered offensive.

{"status":"success","text":{"profanity":[{"type":"inappropriate","match":"offensive text","intensity":"high"}]}}

This structured response enables developers to take appropriate moderation actions based on the detected content.

Pros and Cons

Pros include its comprehensive detection capabilities for various types of inappropriate content, while cons may involve limitations in processing speed for large volumes of images.

Ideal Use Cases

Common use cases include maintaining platform integrity by filtering user-uploaded images and ensuring compliance with community standards.

How It Differs from Inappropriate Text Detection API

The Text Moderation in Images API focuses on analyzing images for inappropriate content, while the Inappropriate Text Detection API analyzes text content directly.

7. AI Text Detection API

The AI Text Detection API utilizes OpenAI technology to accurately detect ChatGPT content, serving as a plagiarism detector for teachers and content creators.

Key Features and Capabilities

The AI Detection feature requires users to enter text for analysis. The API returns values indicating the probability of the text being real or fake.

{"real_probability":0.9,"fake_probability":0.1}

This response helps users assess the originality of the text and make informed decisions regarding its authenticity.

Pros and Cons

Pros include its high accuracy and ease of integration, while cons may involve challenges in detecting subtle forms of plagiarism.

Ideal Use Cases

Typical use cases include plagiarism detection in academic papers and ensuring content quality for creators.

How It Differs from Inappropriate Text Detection API

The AI Text Detection API focuses on detecting AI-generated content, while the Inappropriate Text Detection API is dedicated to identifying harmful text content.

8. Language Detection API

The Language Detection API allows developers to detect the language of a given text input using advanced Natural Language Processing techniques.

Key Features and Capabilities

The Detector feature enables users to pass text for language recognition. The API returns a response indicating the detected language and a confidence score.

{"language_list":[{"language":"en","relevance":100},{"language":"es","relevance":80}]}

This response helps developers understand the language context of the text, guiding further processing or actions.

Pros and Cons

Pros include its ability to handle a wide range of languages, while cons may involve challenges with short or ambiguous inputs.

Ideal Use Cases

{"semantic_analysis":{"0":{"segment":"offensive word","type":"profanity"}}}