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Is Character AI Censored? Filters vs a Raw Text API

Is Character AI censored? Consumer character apps, including the best known ones, publish content rules and filter conversations to enforce them. A raw text API works differently: there is no app layer, and you write the rules yourself.

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A glass filter sieve on one side and an open pipe with a valve on the other, contrasting filtered chat with a raw API

Key takeaways

  1. Uncensored models do not refuse lawful adult, fictional, or controversial topics, making them ideal for unrestricted roleplay.
  2. OpenAI-compatible APIs allow developers to integrate these characters into existing applications with minimal code changes.
  3. Prepaid token pricing ensures transparency, with costs based solely on actual usage rather than subscription tiers.
  4. Privacy is maintained as prompts are not used for training, and accounts require minimal personal information to start.

The direct answer

Is Character AI censored? Yes, in the sense that it applies content rules and filters to what characters can say. The company publishes guidelines and updates them, so read the current version on its own site instead of relying on anyone's summary, including ours. The same is true of most large consumer chat products. A filter is a normal part of an app aimed at the general public.

That does not make the filters unreasonable. It means the experience is shaped by decisions the app made for everyone, and an adult writing dark fiction or a developer building a niche product has no way to change them. If that is your problem, the realistic options are to accept the rules, find an app whose rules fit you, or use a text API where you set the rules.

Why consumer chat apps filter

Filtering is rarely about one thing. Several pressures push in the same direction.

  • Audience. A free app that is easy to open reaches teenagers as well as adults. Rules that suit the youngest likely user end up applying to everyone.
  • Distribution and payments. App stores, advertising networks and payment processors set their own content conditions, and a product that wants to stay on them has to comply.
  • Legal and reputational risk. A company is liable for what its service produces under its brand, and one bad screenshot can become a news story.
  • Cost of moderation. It is cheaper to block categories automatically than to review millions of chats.

Automatic filters are also blunt. They look at patterns, not intent, so they sometimes block harmless fiction, cut a reply mid-sentence or make a character drift into cautious, generic language. Many users describe that as the main annoyance, more than any single banned topic.

What a raw text API changes

An API like ours gives you the model without the character app around it. There is no built-in library, no feed, no front-end filter layer. You send an OpenAI-style request with the model ID uncensored and get text back. The model is tuned to answer without content refusals for lawful adult use, so a villain can speak like one and a bleak scene does not trigger a refusal.

The rules do not vanish; they move to you. Your system prompt defines the character, the setting, the tone and the topics you want to avoid. Your server code decides who can chat, how long, and whether an age check is needed. This is the level of control a developer expects, and the level of responsibility to match.

Two limits stay in place whatever you write. Sexual content involving minors is never allowed, and the service is text only. Details of the endpoints and parameters are in the documentation.

What it looks like in practice

Here is a character prompt that sets its own boundaries. It shows how the system prompt carries the rules a consumer app would otherwise impose.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.uncensoredaicharacter.com/v1",
)

system_prompt = (
    "You play Corvin, a weary mercenary in a dark-fantasy campaign.\n"
    "Rules for this story:\n"
    "- Write in third person, past tense, three short paragraphs at most.\n"
    "- Violence and moral grey areas are fine; keep them vivid but not gratuitous.\n"
    "- Every character in the story is an adult.\n"
    "- If the player steers toward anything involving minors, refuse and propose a new scene.\n"
)

resp = client.chat.completions.create(
    model="uncensored",
    messages=[
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": "Corvin finds the caravan burned. What does he do?"},
    ],
    temperature=0.8,
    max_tokens=400,
)
print(resp.choices[0].message.content)

Change the rules and you change the experience. A lighter story for a family-friendly product just needs a different prompt. The model follows the instructions you give it, and that is the whole mechanism.

Honest trade-offs

Moving from a consumer app to an API is not an upgrade in every respect.

You lose convenience

There is no ready-made character library and no polished app. You write prompts and use a front end that supports a custom OpenAI-compatible endpoint, or build your own. Our overview of what an uncensored AI character is explains the building blocks.

You lose the safety net

If your project reaches the public, moderating it is your job. That includes age gating for adult material, handling abuse reports and deciding what you will not host. If you build for teenagers or a mixed audience, a filtered service is probably the better base.

You gain control, not perfection

The model can still be wrong, forget details or repeat itself. Memory is whatever history you resend, within a 100,000-token window. Payment is prepaid in crypto (USDT on TRC20 or USDC on Base), which not everyone wants.

You gain predictable cost

Pricing is $0.15 per 1M input tokens and $0.50 per 1M output tokens, with no subscription. A chat message of 1,200 input and 200 output tokens costs $0.00018 + $0.0001 = $0.00028, so 1,000 messages cost $0.28. The full table is on the pricing page.

Questions to ask before you switch

A few honest checks save time. Ask yourself what you actually need the bot to do. If the answer is mostly chatting with ready-made personalities, the migration effort buys you little. If the answer is a specific story world, a long-running campaign or an endpoint inside your own product, the API pays back quickly.

Ask how you will keep memory. A consumer app hides this problem; with an API, you decide what to resend. A simple approach is to keep the character prompt plus the last 20 messages. If a typical message is 100 tokens, that is 2,000 tokens of history plus a 500-token character prompt, so 2,500 input tokens per request, or $0.000375 at $0.15 per 1M. A 300-token reply adds $0.00015, for $0.000525 per message, about $0.53 per 1,000 messages.

Ask who is in your audience. If it is only you, the choice is personal. If it is the public, build moderation before you build features.

How to decide

If you...Better fit
Chat casually and like ready-made charactersA consumer character app
Serve teenagers or a general public audienceA filtered service with its own moderation
Write adult fiction and want to set your own toneA text API with your own system prompt
Build a product and need an endpointA text API, plus your own moderation
Need voice, images or videoA different service; this API is text only

If the API route fits, you can test it for free: new users can claim $0.50 of trial credit on the API key page, valid for 7 days with no card.

FAQ

Does Character AI filter conversations?

It publishes content guidelines and applies filters to enforce them. Because the rules change, read the current policy on the app itself.

Can a text API replace a character app?

For text roleplay it can: write the character as a system prompt and use a front end or script. You lose the built-in character library and any voice features.

Is an uncensored API allowed to produce anything?

No. It is tuned to answer without content refusals for lawful adult use, and sexual content involving minors is never allowed.

Who moderates a bot I build on this API?

You do. Set the rules in your system prompt, add age checks and limits in your own code, and handle reports from your users.

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