Top Inappropriate Content Detection API alternatives in 2025

Top Inappropriate Content Detection API Alternatives in 2025

As the digital landscape continues to evolve, the need for effective content moderation has never been more critical. Inappropriate content detection APIs play a vital role in maintaining safe online environments by identifying and filtering harmful content. This blog post explores the best alternatives to the Inappropriate Text Detection API, highlighting their features, capabilities, and ideal use cases for developers looking to implement robust content moderation solutions.

1. Inappropriate Text Detection API

The Inappropriate Text Detection API utilizes machine learning algorithms to automatically identify and flag potentially offensive or inappropriate content in text. This API is essential for organizations aiming to foster safe and respectful online communication by accurately detecting and filtering out profanity, hate speech, and other harmful content.

Key features include:

• Detector: This feature allows users to pass any plain text to the profanity detector API for examination. Users can specify the sensitivity level for detection, making it adaptable to various contexts. The API works exclusively with English content.

Example response:

{"profanities":[],"profanity_count":0,"server_reference":"web1","result":"success","response_timestamp":1733147849}

Typical use cases include monitoring social media posts, filtering in-game chat, and ensuring respectful customer interactions. The API maintains data accuracy through continuous learning from new data inputs, making it a reliable choice for content moderation.

Looking to optimize your Inappropriate Text Detection API integration? Read our technical guides for implementation tips.

2. 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 plays a crucial role in content moderation by automatically analyzing and categorizing text content to determine whether it contains offensive language.

Key features include:

• Detect Offensive Text: Users must specify a word or text in the parameter to utilize this feature. The API analyzes the input and returns any offensive words or phrases found.

Example response:

["Offensive text"]

Typical use cases include moderating social media posts, filtering chat messages in real-time, and automating comment moderation on blogs and forums. The API maintains data accuracy through continuous updates and improvements to its algorithms.

Looking to optimize your Offensive Text Detection API integration? Read our technical guides for implementation tips.

3. Text Moderation in Images API

The Text Moderation in Images API allows users to detect inappropriate words in images, filtering unwanted content on platforms. This API analyzes the text contained in images and identifies any content that requires moderation.

Key features include:

• Gore Detection: Users provide an image URL for analysis, and the API predicts if there is any text that could be considered offensive.
• Nudity Detection: This feature checks if any given image contains nudity, helping to prevent the sharing of inappropriate content.
• WAD Detection: This endpoint detects any Weapons, Alcohol, or Drugs present in the given images.

Example response for Gore Detection:

{ "status": "success", "request": { "id": "req_fcbLihSbWI433v0iMb7or", "timestamp": 1700535477.150039, "operations": 1 }, "text": { "profanity": [{ "type": "inappropriate", "match": "shit", "intensity": "high" }], "ignored_text": false }, "media": { "id": "med_fcbLVkksY4yrUzZVM5H7z", "uri": "https://images.lookhuman.com/render/standard/0024704868270264/3600-red-lifestyle_female_2021-t-shit-show.jpg" }}

This API is ideal for maintaining E-rated platforms and analyzing user-generated images for inappropriate content. Data accuracy is maintained through advanced text recognition algorithms and continuous updates to moderation criteria.

Want to try Text Moderation in Images API? Check out the API documentation to get started.

4. Profanity Detection API

The Profanity Detection API is a powerful tool for identifying and flagging offensive language in user-generated content. It detects a range of profanities, toxicities, and hate speech, including insults and threats.

Key features include:

• Profanity Analyzer: This endpoint detects profanities, toxicities, severe toxicities, obscene texts, insults, threats, and identity hate in a given text.

Example response:

{"semantic_analysis":{}}

Typical use cases include moderating user-generated content on social media, filtering offensive language in chatbots, and ensuring respectful communication in gaming communities. Data accuracy is maintained through continuous model training and validation against real-world examples.

Ready to test Profanity Detection API? Try the API playground to experiment with requests.

5. Image Moderation API

The Image Moderation API recognizes inadequate images passed to it, making it useful for nudity detection. This API analyzes images to determine their appropriateness based on user-defined content policies.

Key features include:

• Nudity Detection: This feature checks if any given image is inappropriate, recognizing nudity and preventing the sharing of improper content.

Example response:

{ "status": "success", "request": { "id": "req_eENh4eoD4iwgQVGxRLJPI", "timestamp": 1692833244.862129, "operations": 1 }, "nudity": { "raw": 0.01, "safe": 0.2, "partial": 0.8, "partial_tag": "miniskirt" }, "media": { "id": "med_eENhv2LDINHigBdgBUron", "uri": "https://i.pinimg.com/originals/2e/d3/e4/2ed3e41f2a0dc50bb27b2b82c764096f.jpg" }}

This API is ideal for keeping platforms free of offensive image content. Data accuracy is maintained through advanced image recognition algorithms that continuously learn and adapt to new content.

Want to use Image Moderation API in production? Visit the developer docs for complete API reference.

6. NSFW Image Detection API

The NSFW Image Detection API empowers developers to detect and filter Not Safe For Work content in real-time, ensuring a safe environment for users. This API is known for its exceptional accuracy and comprehensive range of topics.

Key features include:

• Moderate: This feature checks if an image is NSFW and returns a JSON with labels indicating the content type.

Example response:

{"unsafe":false,"objects":[{"box":[280,31,652,399],"score":0.8855571150779724,"label":"FACE_F"}]}

This API is particularly useful for platforms that require stringent content moderation policies. Users can utilize the returned data to determine if an image is inappropriate and take necessary actions based on confidence scores.

Need help implementing NSFW Image Detection API? View the integration guide for step-by-step instructions.

7. Insult Detection API

The Insult Detection API identifies offensive language and insults in text, promoting respectful communication across online platforms. This API leverages Natural Language Processing (NLP) and Machine Learning to analyze and classify text.

Key features include:

• Toxicity Detection: Users must enter a word or text in the parameter to utilize this feature, which analyzes the input for toxic content.

Example response:

{"toxic":0.78711975,"indecent":0.9892319,"threat":0.0083886795,"offensive":0.37052566,"erotic":0.14190358,"spam":0.08707619}

Typical use cases include moderating comments on social media, filtering messages in chat applications, and ensuring respectful communication in online forums. The API maintains data accuracy through continuous updates and training on diverse datasets.

Need help implementing Insult Detection API? View the integration guide for step-by-step instructions.

8. Weapons Detection - Image Moderation API

The Weapons Detection - Image Moderation API recognizes weapons in images, making it essential for platforms that need to filter out violent content. This API analyzes images to determine their appropriateness based on user-defined content policies.

Key features include:

• Gore Detection: This feature detects any gore content in images, allowing users to filter images that contain blood or graphic violence.
• Nudity Detection: Similar to other moderation APIs, this feature checks for nudity in images.
• WAD Detection: This endpoint detects any Weapons, Alcohol, or Drugs present in the given images.

Example response for WAD Detection:

{ "status": "success", "request": { "id": "req_cKJv2ubjvbnGPHsV1b0RG", "timestamp": 1665603692.704497, "operations": 1 }, "weapon": 0.65, "alcohol": 0.01, "drugs": 0.01, "media": { "id": "med_cKJvCZwlyHWmZNPGHxDVx", "uri": "https://policyoptions.irpp.org/wp-content/uploads/sites/2/2021/03/Twitter-New-gun-control-legislation-needs-to-control-replica-guns-to-keep-Canadians-safe.jpg" }}

This API is ideal for maintaining safe online environments by dynamically filtering images that do not meet content policies. Data accuracy is maintained through advanced machine learning algorithms trained on diverse datasets.

Want to use Weapons Detection - Image Moderation API in production? Visit the developer docs for complete API reference.

9. Alcohol Detection - Image Moderation API

The Alcohol Detection - Image Moderation API recognizes alcoholic beverages in images, helping platforms filter out inappropriate content. This API analyzes images to determine their appropriateness based on user-defined content policies.

Key features include:

• Alcohol Detection: This feature detects any alcohol present in the given images, allowing for effective moderation of content.

Example response:

{ "status": "success", "request": { "id": "req_cKJzPN0tvYRPxxf9DCxTR", "timestamp": 1665603927.824189, "operations": 1 }, "weapon": 0.01, "alcohol": 0.95, "drugs": 0.01, "media": { "id": "med_cKJzyCzO8sVdkexlkOr0C", "uri": "https://www.eatthis.com/wp-content/uploads/sites/4/2019/05/People-clinking-beers.jpg?quality=82&strip=1" }}

This API is particularly useful for platforms that require stringent content moderation policies regarding alcohol. Data accuracy is maintained through advanced image recognition algorithms and machine learning models.

Want to use Alcohol Detection - Image Moderation API in production? Visit the developer docs for complete API reference.

10. AI Content Moderator API

The AI Content Moderator API is a powerful tool for machine-assisted moderation of multilingual text. Utilizing Microsoft Azure Cognitive Services, this API detects potentially offensive or unwanted content, including profanity, in over 100 languages.

Key features include:

• Moderate: When using the API, text can be at most 1024 characters long. If the content exceeds this limit, the API returns an error code informing the user of the issue.

Example response:

{"original": "whats this shit.", "censored": "whats this ****.", "has_profanity": true}

This API is ideal for organizations that operate in multilingual environments and need to ensure that user-generated content aligns with community guidelines. Data accuracy is maintained through advanced language processing techniques and a vast profanity database.

Ready to test AI Content Moderator API? Try the API playground to experiment with requests.

Conclusion

In conclusion, the landscape of inappropriate content detection APIs is rich with alternatives that cater to various needs and use cases. From the Inappropriate Text Detection API to the AI Content Moderator API, each solution offers unique features and capabilities that can enhance content moderation efforts. Depending on your specific requirements—whether it's text moderation, image analysis, or multilingual support—there is an API that can meet your needs effectively. By leveraging these tools, developers can create safer online environments and promote respectful communication across platforms.