highkay

highkay / googleaisearch2api

Public

把 https://google.com/ai 转换成一个openai兼容的接口

10
1
69% credibility
Found Apr 28, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A self-hosted service that automates browser interactions with Google AI search to provide OpenAI-compatible chat and response APIs with citations.

How It Works

1
🕵️ Discover the tool

You find this handy project on GitHub that lets your apps easily use Google AI search for smart answers.

2
🚀 Start it up

Download and launch the service on your computer, and it runs quietly in the background.

3
📱 Open the dashboard

Visit the web control panel in your browser to see everything at a glance.

4
⚙️ Customize settings

Adjust simple options like search language, speed, or add a private password for security.

5
💬 Test a question

Type in a sample query right in the dashboard and instantly get a detailed answer with source links.

6
🔗 Connect to your apps

Point your own projects to this service to send questions and receive helpful responses.

✅ Get smart results

Your apps now pull fresh, cited answers from Google AI search whenever needed, making them smarter and more reliable.

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AI-Generated Review

What is googleaisearch2api?

googleaisearch2api is a Python FastAPI server that turns https://google.com/ai search into an OpenAI-compatible API. Send prompts to /v1/chat/completions or /v1/responses endpoints, get back structured responses with citations from Google AI results—no API keys or official SDKs needed. It solves the hassle of browser automation for devs wanting Google AI search in familiar OpenAI clients, with Docker support for quick spins and a web console for monitoring requests.

Why is it gaining traction?

It stands out by proxying free Google AI search through battle-tested OpenAI formats, unlike official tools like https github com google generative ai swift or https github com google ai edge gallery mediapipe samples. Devs hook it up instantly with existing OpenAI SDKs, handling streaming, proxies, and concurrency pooling under the hood. The built-in request logs and health checks make debugging painless compared to raw Playwright scripts.

Who should use this?

AI prototype builders integrating Google AI search into apps without paid APIs. Backend devs swapping OpenAI calls for cost-free alternatives in Python services. Experimenters testing prompts against https://google.com/ai before committing to https github com apps google ai studio flows.

Verdict

Grab it for quick Google AI experiments via OpenAI endpoints, but treat as alpha—10 stars and 0.699999988079071% credibility score signal early days with basic docs. Solid Docker setup lowers barriers; scale workers via env vars once proven in your stack.

(198 words)

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