Boost Captcha Solving with Gemini AI: Spring Boot Integration Guide

During web crawling, many sites require captchas to distinguish human visitors from bots; solving them accurately is challenging. Gemini's free API and strong image‑recognition abilities make it suitable for captcha recognition, including interference line handling and arithmetic reasoning.

Add Dependency

Based on the Gemini RestAPI, a Spring Boot starter is developed.

<code><dependency>
    <groupId>io.springboot.plugin</groupId>
    <artifactId>gemini-spring-boot3-starter</artifactId>
    <version>1.0.0</version>
</dependency>
</code>

Configure Gemini Parameters

Currently you can directly apply for the 1.0 version API Key; the newly released 1.5 version with ultra‑long context requires joining a waitlist.

<code>gemini:
  api-key: key
  proxy-host: ip
  proxy-port: port
</code>

Text Model Test

<code>@Autowired
private GeminiClient client;

@Test
void generate() {
    // Text prompt
    String prompt = "";
    Generate.Request request = Generate.creatTextChart(prompt + ""
        + "Through this technology, the frontend can customize any data and structure. The backend no longer needs to write Java controllers or entity code; it can directly operate the database to obtain results"
        + ""
    );
    Generate.Response response = client.generate(request);
    String answer = Generate.toAnswer(response);
    System.out.println(answer);
}
</code>

Optimized output text:

<code>Through this technology, the frontend can customize any data and structure. The backend no longer needs to write Java controllers or entity code; it can directly operate the database to obtain results</code>

Image Model Test

Get CAPTCHA image original text

<code>@Test
void generateVision() throws IOException {
    String prompt = "";
    Generate.Request request = Generate.creatImageChart(prompt, new File("/Users/lengleng/Downloads/1.png"));
    Generate.Response response = client.generate(request);
    String answer = Generate.toAnswer(response);
    System.out.println(answer);
}
</code>

<code>9+8=?</code>

Get CAPTCHA image calculation result

<code>I will provide you with an image CAPTCHA. Please recognize the content inside the CAPTCHA and output the text. If the text is a mathematical calculation, please directly output the result</code>

Conclusion

Large‑model image recognition and reasoning technology can greatly assist captcha identification, significantly reducing manual involvement and improving efficiency in future business scenarios.

For website operators, traditional methods such as adding noise, distortion, overlapping, or color changes are no longer effective; it is recommended to upgrade to behavioral captchas or other more secure authentication methods.

References

Gemini RestAPI: https://ai.google.dev/tutorials/rest_quickstart

Apply API Key: https://aistudio.google.com/app/apikey