GeeTest vs BLS CAPTCHA: Comparison Guide

GeeTest and BLS are both interactive CAPTCHA systems but differ in challenge type, regional adoption, and solving complexity. Here's a side-by-side comparison.

Overview

Challenge Differences

GeeTest Challenges

• Slide puzzle: Drag a piece to complete a jigsaw
• Click select: Click objects matching a description
• Icon sequence: Identify and click icons in order
• Difficulty adapts based on behavioral risk score

BLS Challenges

• Image grid ordering: Arrange images in a specific order
• Image selection: Select images matching instructions
• Instructions are often displayed as text within the CAPTCHA image
• Fixed difficulty — no adaptive scaling

Parameter Comparison

GeeTest v3

geetest_params = {
    "method": "geetest",
    "gt": "abc123...",           # 32-char account ID
    "challenge": "def456...",   # Session-specific, must be fresh
    "pageurl": "https://example.com/login",
}

BLS

bls_params = {
    "method": "bls",
    "sitekey": "site-key-value",
    "pageurl": "https://example.com/appointment",
    "instructions": "Select images in order",  # Optional hint
}

Solving GeeTest with CaptchaAI

import requests
import time
import os

API_KEY = os.environ["CAPTCHAAI_API_KEY"]


def solve_geetest(gt, challenge, pageurl):
    resp = requests.post("https://ocr.captchaai.com/in.php", data={
        "key": API_KEY,
        "method": "geetest",
        "gt": gt,
        "challenge": challenge,
        "pageurl": pageurl,
        "json": 1,
    }, timeout=30)
    task_id = resp.json()["request"]

    time.sleep(10)
    for _ in range(30):
        resp = requests.get("https://ocr.captchaai.com/res.php", params={
            "key": API_KEY, "action": "get",
            "id": task_id, "json": 1,
        }, timeout=15)
        data = resp.json()
        if data.get("status") == 1:
            return data["request"]
        if data["request"] != "CAPCHA_NOT_READY":
            raise RuntimeError(data["request"])
        time.sleep(5)
    raise TimeoutError("Timeout")

Solving BLS with CaptchaAI

def solve_bls(sitekey, pageurl):
    resp = requests.post("https://ocr.captchaai.com/in.php", data={
        "key": API_KEY,
        "method": "bls",
        "sitekey": sitekey,
        "pageurl": pageurl,
        "json": 1,
    }, timeout=30)
    task_id = resp.json()["request"]

    time.sleep(10)
    for _ in range(30):
        resp = requests.get("https://ocr.captchaai.com/res.php", params={
            "key": API_KEY, "action": "get",
            "id": task_id, "json": 1,
        }, timeout=15)
        data = resp.json()
        if data.get("status") == 1:
            return data["request"]
        if data["request"] != "CAPCHA_NOT_READY":
            raise RuntimeError(data["request"])
        time.sleep(5)
    raise TimeoutError("Timeout")

Practical Differences for Developers

When You'll Encounter Each

GeeTest

• Scraping Chinese e-commerce platforms
• Gaming account management
• Financial service automation
• Any site using GeeTest SDK

BLS

• BLS visa appointment booking
• Government service automation
• Immigration service portals
• Appointment scheduling systems

FAQ

Which is harder to solve manually?

BLS image ordering can be confusing for humans due to ambiguous instructions. GeeTest slides are more intuitive. Neither matters for API-based solving — CaptchaAI handles both at 100%.

Can I use the same code for both?

The flow is identical (submit → poll → use token), but parameters differ. Use a factory pattern to select the right method.

Which solves faster?

Both are similar — 10-20 seconds average. BLS may be slightly faster if the challenge is simpler.

Related Guides

• GeeTest vs Cloudflare Turnstile
• BLS CAPTCHA Parameters Deep Dive

Solve GeeTest and BLS — start with CaptchaAI.