---
title: AI Text Moderation API
slug: text-moderation
url: https://apyhub.com/apyhub/service/text-moderation
provider: ApyHub
categories: [Artificial Intelligence]
tags: [text-moderation, content-moderation, moderation, google-moderation, content-safety]
auth: api_key
---

# AI Text Moderation API

Check text with Google moderation using a text string and requested_service. Returns a google result inside data for content screening workflows.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `/ai/text/moderation` | What it does Submits a text string for moderation and returns a JSON object containing a data objec… | 500 |

## About

## What it does

Text Moderation checks a text string and routes it to Google moderation for analysis. Send the `text` you want reviewed, set `requested_service` to `google`, and include the optional `google` object when you need to pass a Google API key or language hint.

The request schema is simple: the body must include `text` and `requested_service`. Inside `google`, you can provide `key` and `google_language`. The response returns a `data` object with a `google` field when Google is the requested service, so you can work with the moderation result in the format returned by that provider.

Use Text Moderation when you need to screen user-generated content before publishing, queueing, or storing it. It fits comment systems, chat inputs, marketplace listings, and other workflows where you need a moderation check in the request path or as part of a background review step.

Because the output mirrors the selected provider, it is straightforward to plug into existing moderation pipelines without reshaping the response around extra fields that are not part of the schema.

| Provider (requested_service) | Atoms |
|------------------------------|------:|
| Google                       |  500 |

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyhub.com/apyhub/service/text-moderation