title: "How to Migrate from OpenAI to a GDPR-Compliant EU API" description: "Move from OpenAI to an EU-hosted API in under 10 minutes. Two lines of code, full GDPR compliance, no rewriting your application logic." date: 2026-04-06 slug: migrate-openai-to-eu-api category: guides tags: ["GDPR", "OpenAI", "migration", "EU API", "sovereign AI"] keywords: ["migrate from openai to eu api", "openai to eu api migration guide", "switch from openai to europe based llm", "gdpr compliant api replacement for openai", "eu alternatives to openai"] schema_types: ["TechArticle", "FAQPage", "HowTo"] primary_cta: "Get Your Free API Key" primary_cta_url: "https://juicefactory.ai/api-key" secondary_cta: "View Portal" secondary_cta_url: "https://portal.juicefactory.ai"

How to Migrate from OpenAI to a GDPR-Compliant EU API

Your legal team flags it. Your DPO asks questions you can't answer. Or you're building something for a German bank, a Swedish healthcare provider, or an EU public sector client — and OpenAI simply isn't an option.

The good news: switching to a GDPR-compliant EU provider takes about 10 minutes. Because JuiceFactory is OpenAI-compatible, you're not rewriting your application. You're changing two values.

This guide walks you through the migration step by step, with examples in Python, JavaScript, and cURL.

Try it now: Get a free JuiceFactory API key — no credit card required.

Why developers switch from OpenAI to EU infrastructure

OpenAI is technically capable, but it creates compliance problems that are hard to work around:

• User data goes to US servers, triggering GDPR Article 44 on cross-border data transfers
• OpenAI retains request data for up to 30 days by default (even for API users)
• You need Standard Contractual Clauses (SCCs) and Transfer Impact Assessments to use it legally with EU personal data
• EU public sector clients increasingly require EU-hosted infrastructure as a contract condition

JuiceFactory solves all of this at the infrastructure level. Data stays in Sweden, requests are processed statelessly (nothing is retained after the response), and GDPR compliance is built into the architecture — not bolted on with legal paperwork.

What changes when you migrate

This is the part most developers are surprised by. Almost nothing changes.

What stays the same:

What changes:

Your request bodies, response parsing, error handling, and application logic are untouched.

Migration: step by step

Step 1 — Get a JuiceFactory API key

Sign up at juicefactory.ai/api-key. The free tier includes enough credits to test your integration. Your key will look like jf-xyz789....

Step 2 — Update your environment variables

# Before
OPENAI_API_KEY=sk-proj-abc123...

# After
OPENAI_API_KEY=jf-xyz789...

You can reuse the same variable name — JuiceFactory uses the same Bearer token format.

Step 3 — Add the base URL

This is the only code change. Add base_url to your client initialization:

Python:

from openai import OpenAI

# Before
client = OpenAI(api_key="sk-proj-...")

# After
client = OpenAI(
    api_key="jf-...",
    base_url="https://api.juicefactory.ai/v1"
)

JavaScript (Node.js):

import OpenAI from 'openai';

// Before
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// After
const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  baseURL: 'https://api.juicefactory.ai/v1',  // ← This one line
});

cURL:

# Before
curl https://api.openai.com/v1/chat/completions \
  -H "Authorization: Bearer sk-proj-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-4o-mini", "messages": [{"role": "user", "content": "Hello!"}]}'

# After
curl https://api.juicefactory.ai/v1/chat/completions \
  -H "Authorization: Bearer jf-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-vl", "messages": [{"role": "user", "content": "Hello!"}]}'

Step 4 — Update model names

Switch gpt-4o-mini or gpt-4o to qwen3-vl for chat, and text-embedding-ada-002 to qwen3-embed for embeddings.

Complete before/after example

# Before — OpenAI
from openai import OpenAI
import os

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

def ask_question(question: str) -> str:
    response = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": question},
        ],
        temperature=0.7,
    )
    return response.choices[0].message.content

# After — JuiceFactory (two changes highlighted)
from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["OPENAI_API_KEY"],
    base_url="https://api.juicefactory.ai/v1",  # ← Change 1
)

def ask_question(question: str) -> str:
    response = client.chat.completions.create(
        model="qwen3-vl",                           # ← Change 2
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": question},
        ],
        temperature=0.7,
    )
    return response.choices[0].message.content

Everything else — function signatures, response parsing, error handling — is identical.

Cost comparison

JuiceFactory uses per-token pricing rather than per-hour GPU billing, which makes costs predictable for API workloads.

Prices as of March 2026. OpenAI prices converted from USD at approximate rates.

JuiceFactory isn't the cheapest option per token — Scaleway's generative API is significantly cheaper. The difference is in what happens to your data: JuiceFactory processes statelessly with zero retention. Scaleway and OpenAI retain data for configurable periods.

For organizations where GDPR compliance is non-negotiable, factor in the full cost: legal review for SCCs and DPAs (typically €5K–15K), Transfer Impact Assessments, DPO time, and audit exposure. That compliance overhead often exceeds the token price difference.

How the data flow changes

Here's what happens to your data with each provider:

flowchart LR
    A[Your App] -->|prompt| B{Provider}
    B -->|OpenAI| C[US servers\n30-day retention\ntraining possible]
    B -->|JuiceFactory| D[EU servers\nprocessed in RAM\ndiscarded immediately]
    D --> E[Response returned]
    C --> E

GDPR Article 44 restricts transfers of personal data outside the EU. If your application sends user-generated content — prompts, documents, queries — to a US-based API, you're triggering this requirement.

With JuiceFactory:

• Data never leaves EU territory (Stockholm, Sweden)
• Requests are stateless — processed in RAM, discarded after response
• No training on your data, contractually prohibited
• GDPR Article 28 Data Processing Agreement included

No SCCs. No Transfer Impact Assessments. No gray areas.

Frequently asked questions

Do I need to change anything other than base URL and API key? No. The request format, response structure, streaming, and error codes are identical to OpenAI's API. Update two values, test your integration, done.

Is JuiceFactory's API actually OpenAI-compatible? Yes. It implements the OpenAI API specification. The same Python and Node.js SDKs work without modification.

What does JuiceFactory retain from my requests? Nothing. Requests are processed statelessly in memory and discarded after the response. No prompts, no responses, no logs containing your data.

What models are available? Qwen3 30B VL for chat completions (128K context window) and Qwen3-embed for embeddings (2560-dimensional vectors). Both hosted in Stockholm, Sweden.

How long does migration take? For a standard integration, 5–15 minutes. If you have environment variables configured, it's often just redeploying with a new .env.

Ready to switch? Get your free JuiceFactory API key and have your first EU-hosted request running in minutes.

Related guides: EU LLM API Comparison 2026 · Stateless Inference and GDPR · API Documentation