aiidentifiers

AI Identifiers Python SDK

Multi-modal AI content detection with per-model provenance — text, images, audio, and video in one call.

pip install aiidentifiers

50 free API calls/month — no credit card. Get your key at aiidentifiers.com/get-api-key.

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Quick Start

from aiidentifiers import Client

client = Client(api_key="aid_...")

# ── Text detection ─────────────────────────────────────────────────────────
result = client.detect_text("This essay was drafted by an AI writing assistant.")
print(result.verdict)       # "ai_generated"
print(result.confidence)    # 88
print(result.is_ai_generated)  # True

# Per-model provenance (the key differentiator)
for p in result.provenance:
    print(f"  {p.model} ({p.provider}): {p.verdict} — {p.confidence}%")
# GPT-5 Text Analysis (openai): ai_generated — 92%
# Claude 4 Opus (anthropic): ai_generated — 88%
# Gemini 2.0 Flash (google): human_generated — 71%
# o1/o3 Reasoning (openai): ai_generated — 95%

# ── URL detection (image/video/audio/text — auto-detected) ────────────────
result = client.detect_url("https://example.com/image.jpg")
print(result.summary())

# ── Local file detection ───────────────────────────────────────────────────
result = client.detect_file("/path/to/audio.mp3")
result = client.detect_file("/path/to/video.mp4")
result = client.detect_file("/path/to/image.png")

# ── Quota check ────────────────────────────────────────────────────────────
quota = client.quota()
print(f"{quota.used}/{quota.limit} calls used ({quota.plan} plan, resets {quota.resets_at})")
print(f"{quota.remaining} calls remaining")

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Response Format

Every DetectionResult contains:

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LangChain Integration

from aiidentifiers.integrations.langchain import get_tools
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

tools  = get_tools(api_key="aid_...")
llm    = ChatOpenAI(model="gpt-4o")
agent  = create_openai_functions_agent(llm, tools, prompt)
executor = AgentExecutor(agent=agent, tools=tools)

result = executor.invoke({
    "input": "Is this image AI-generated? https://example.com/photo.jpg"
})

LlamaIndex Integration

from aiidentifiers.integrations.llamaindex import create_ai_identifiers_tools
from llama_index.core.agent import ReActAgent

tools = create_ai_identifiers_tools(api_key="aid_...")
agent = ReActAgent.from_tools(tools, verbose=True)
agent.chat("Check if this text was written by an AI: 'Leveraging synergies...'")

CrewAI Integration

from aiidentifiers.integrations.crewai import AIIdentifiersDetectionTool
from crewai import Agent, Task, Crew

tool  = AIIdentifiersDetectionTool(api_key="aid_...")
agent = Agent(role="Fact Checker", tools=[tool], ...)

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Pricing

Get started →