uncensored LLM API for AI Pipelines

Uncensored Text for Multimodal Pipelines

Most multimodal pipelines start with a vision or audio model that generates raw text. Standard LLMs often refuse to process or refine this text if it contains mature or niche content. Our whisper api text layer sits after your visual or audio generation, offering raw, uncensored reasoning. It is not a speech-to-text engine; it is a text-completion API designed to handle the output of those engines without content refusals.

Use it to clean up transcripts, generate captions for adult content, or extract data from uncensored video logs. The model is tuned to answer without filtering lawful adult use, ensuring your pipeline doesn't break when standard models do. You get text in, text out, with no hidden filters.

OpenAI-Compatible SDK Support

Our API follows the OpenAI chat-completions standard. You can use the official OpenAI SDK for Python, Node.js, or any compatible client. Simply update the base_url to https://api.whisperapis.com/v1 and set your API key. The model ID is uncensored. We support streaming via Server-Sent Events (SSE) and tool/function calling, making it easy to integrate into existing codebases.

• POST /v1/chat/completions for generation
• GET /v1/models for listing
• No embeddings, images, or audio generation

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.whisperapis.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

100k Context Window for Deep Analysis

Processing long documents or extensive transcripts requires a large context window. Our API supports up to 100,000 tokens per request, including both prompt and completion. This allows you to feed entire books, long logs, or high-resolution OCR outputs in a single call. Standard models often limit you to 8k or 32k tokens, forcing complex chunking strategies. With 100k, you can perform deep analysis, summarization, or extraction across the full context.

Copycurl https://api.whisperapis.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Pay-As-You-Go Pricing

We offer a simple, transparent pricing model for high-context text processing. There are no monthly fees, no enterprise bloat, and no hidden costs. You pay only for the tokens you use. Top-up credits are available from $20, with bonuses for larger amounts. Paid credit never expires, so you can use it whenever you need it.

• $0.15 per 1M input tokens
• $0.50 per 1M output tokens
• No subscription required

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.whisperapis.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

No Content Filters, Just Text

Our model is uncensored by default. It does not refuse lawful adult, fictional, security-research, or controversial topics. This makes it ideal for pipelines processing user-generated content, creative writing, or niche media. However, it is not for everyone. If you need strict content moderation, brand-safe outputs, or low-latency inference for real-time chat, this might not be the right fit. We also do not offer SLA guarantees, SOC2 certifications, or on-prem deployment. We are a simple, uncensored text API for developers who need raw output without filters.

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)