Troubleshooting

Why CAPTCHA Solve Times Vary

CAPTCHA solve times on CaptchaAI can range from 3 seconds to 60+ seconds depending on CAPTCHA type, complexity, and system load. This guide explains the factors and how to handle variability.

Typical Solve Times

CAPTCHA Type Best Case Average Worst Case
Image/OCR 2s 3-5s 15s
reCAPTCHA v3 3s 5-10s 30s
Cloudflare Turnstile 5s 8-12s 30s
reCAPTCHA v2 5s 10-15s 45s
reCAPTCHA v2 Enterprise 8s 12-18s 60s
reCAPTCHA v2 Invisible 5s 10-15s 45s
GeeTest v3 5s 10-15s 30s
Cloudflare Challenge 10s 15-25s 60s+

Factors Affecting Solve Time

1. CAPTCHA Complexity

Google and Cloudflare dynamically adjust difficulty based on perceived risk. Factors include:

  • IP reputation: Known proxy/datacenter IPs get harder challenges
  • Behavioral scoring: Low reCAPTCHA v3 scores trigger additional checks
  • Geographic mismatch: Solving from a different country than the user

2. Worker Load

During peak hours, more CAPTCHAs are queued for workers:

Time (UTC) Load Expected Latency
00:00-06:00 Low Fastest
06:00-12:00 Medium Normal
12:00-18:00 High +2-5s
18:00-00:00 Medium-High +1-3s

3. CAPTCHA Type

Token-based CAPTCHAs (reCAPTCHA, Turnstile) require browser interaction and are slower than simple image recognition.

4. Network Latency

Round-trip time between you and CaptchaAI's servers, plus between workers and the CAPTCHA provider.

Handling Variable Solve Times

Adaptive Timeout

Set timeouts based on CAPTCHA type:

TIMEOUTS = {
    "userrecaptcha": 120,
    "turnstile": 90,
    "cloudflare_challenge": 180,
    "geetest": 90,
    "base64": 60,
}

def solve(params, method):
    timeout = TIMEOUTS.get(method, 120)
    return solver.solve(params, timeout=timeout)

Async Pipeline

Don't block on CAPTCHA solving. Process other work concurrently:

import asyncio

async def process_page(url, solver, session):
    """Process a page without blocking on CAPTCHA solve."""

    # Start solving in the background
    solve_task = asyncio.create_task(
        solver.solve(session, {
            "method": "userrecaptcha",
            "googlekey": site_key,
            "pageurl": url,
        })
    )

    # Do other work while waiting
    other_pages = await fetch_other_pages(session)
    process_data(other_pages)

    # Now get the solved token
    token = await solve_task
    return token

Timeout with Fallback

import asyncio

async def solve_with_timeout(solver, session, params, timeout=60):
    try:
        return await asyncio.wait_for(
            solver.solve(session, params),
            timeout=timeout,
        )
    except asyncio.TimeoutError:
        print(f"Solve timed out after {timeout}s, retrying...")
        # Retry with a longer timeout
        return await asyncio.wait_for(
            solver.solve(session, params),
            timeout=timeout * 2,
        )

Track Solve Time Metrics

import time

class SolveMetrics:
    def __init__(self):
        self.times = []

    def record(self, duration):
        self.times.append(duration)

    def average(self):
        if not self.times:
            return 0
        return sum(self.times) / len(self.times)

    def p95(self):
        if not self.times:
            return 0
        sorted_times = sorted(self.times)
        idx = int(len(sorted_times) * 0.95)
        return sorted_times[idx]

    def summary(self):
        if not self.times:
            return "No solves recorded"
        return (
            f"Avg: {self.average():.1f}s | "
            f"Min: {min(self.times):.1f}s | "
            f"Max: {max(self.times):.1f}s | "
            f"P95: {self.p95():.1f}s | "
            f"Count: {len(self.times)}"
        )


metrics = SolveMetrics()

def solve_tracked(params):
    start = time.time()
    result = solver.solve(params)
    duration = time.time() - start
    metrics.record(duration)
    return result

# After your batch:
print(metrics.summary())
# Output: Avg: 12.3s | Min: 5.1s | Max: 38.2s | P95: 25.1s | Count: 50

Optimization Strategies

1. Prefetch Tokens

Start solving before you need the token:

# Start solve immediately when page loads
future = start_solve(site_key, url)

# Do other work (parse page, prep form data)
form_data = parse_form(html)

# Token may already be ready
token = await future

2. Use Callbacks for Batch Jobs

Callbacks eliminate polling latency:

resp = requests.get("https://ocr.captchaai.com/in.php", params={
    "key": API_KEY,
    "method": "userrecaptcha",
    "googlekey": site_key,
    "pageurl": url,
    "pingback": "https://your-server.com/callback",
})

3. Choose Faster CAPTCHA Types

If a site supports both reCAPTCHA v2 and v3, use v3 — it's typically 30-50% faster.

4. Reduce Poll Frequency

Polling every 1 second wastes resources. Use 5-second intervals:

# ❌ Too frequent
time.sleep(1)

# ✅ Optimal
time.sleep(5)

When to Contact Support

  • Consistent solve times >60 seconds for reCAPTCHA v2
  • Image CAPTCHAs taking >30 seconds
  • ERROR_NO_SLOT_AVAILABLE persisting for >5 minutes
  • Solve rates below 80% for standard CAPTCHA types

FAQ

Why are Enterprise CAPTCHAs slower?

Enterprise reCAPTCHA uses additional verification steps and scoring algorithms. Workers need more time to process these enhanced challenges.

Does my internet speed affect solve times?

Minimally. The bottleneck is the CAPTCHA solving process, not data transfer. Your network adds 0.1-0.5 seconds of latency.

Can I pay more for faster solves?

Contact CaptchaAI support for priority solving on high-volume accounts.

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