Reference

CAPTCHA Solving Performance by Region: Latency Analysis

Your server's location relative to CaptchaAI's API endpoints adds measurable latency to every solve. A European server calling a US-based API adds 100–150ms per round trip — and a single CAPTCHA solve involves 5–7 round trips. This guide quantifies the impact and shows how to minimize it.

Latency Components

Total solve time = CaptchaAI processing time + network latency × number of round trips

Component Typical Range Controllable?
CaptchaAI processing 5–25s (varies by CAPTCHA type) No
Network latency (per round trip) 5–300ms Yes (server placement)
DNS resolution 5–200ms (first call only) Yes (DNS caching)
TLS handshake 30–100ms (first connection only) Yes (keep-alive)

Estimated Latency Overhead by Region

Network latency from your server to CaptchaAI's API, measured as round-trip time (RTT):

Your server region Estimated RTT Overhead per solve (6 round trips) Total impact
US East (Virginia) 10–30ms 60–180ms Minimal
US West (Oregon) 30–60ms 180–360ms Low
Europe (Frankfurt) 80–120ms 480–720ms Moderate
Asia (Singapore) 150–250ms 900–1,500ms Significant
Asia (Tokyo) 120–200ms 720–1,200ms Moderate–High
South America (São Paulo) 130–200ms 780–1,200ms Moderate–High
Australia (Sydney) 200–300ms 1,200–1,800ms High

RTT values are estimates. Actual latency depends on ISP routing and network conditions.

Measuring Your Latency

Quick Test

# measure_latency.py
import os
import time
import requests
import statistics

API_KEY = os.environ.get("CAPTCHAAI_KEY", "YOUR_API_KEY")

session = requests.Session()

# Warm up connection (TLS + DNS)
session.get("https://ocr.captchaai.com/res.php", params={
    "key": API_KEY, "action": "getbalance", "json": "1",
})

# Measure latency over 20 calls
latencies = []
for i in range(20):
    start = time.time()
    session.get("https://ocr.captchaai.com/res.php", params={
        "key": API_KEY, "action": "getbalance", "json": "1",
    })
    latency = (time.time() - start) * 1000
    latencies.append(latency)

print(f"Median RTT: {statistics.median(latencies):.0f}ms")
print(f"P90 RTT: {sorted(latencies)[int(len(latencies)*0.9)]:.0f}ms")
print(f"Min: {min(latencies):.0f}ms, Max: {max(latencies):.0f}ms")

# Estimate per-solve overhead (6 round trips typical)
median_overhead = statistics.median(latencies) * 6
print(f"\nEstimated per-solve overhead: {median_overhead:.0f}ms")

Optimization Strategies

1. Use Connection Keep-Alive

Eliminates DNS and TLS overhead after the first request. Saves 100–300ms on first connect and ~5ms per subsequent call.

session = requests.Session()
session.headers.update({"Connection": "keep-alive"})

2. Optimize Polling Strategy

Reduce the number of round trips by adjusting initial wait and poll interval based on your CAPTCHA type:

CAPTCHA Type Initial Wait Poll Interval Typical Polls Total Round Trips
Image/OCR 5s 3s 2–3 3–4
Cloudflare Turnstile 5s 3s 2–3 3–4
reCAPTCHA v2 15s 5s 2–4 3–5
reCAPTCHA v3 10s 5s 2–3 3–4
GeeTest v3 12s 5s 2–4 3–5

Longer initial waits mean fewer polls and fewer round trips.

3. Use Callback URL Instead of Polling

Eliminate polling round trips entirely by using CaptchaAI's callback URL feature:

# Submit with callback — zero polling round trips
resp = requests.get("https://ocr.captchaai.com/in.php", params={
    "key": API_KEY,
    "method": "userrecaptcha",
    "googlekey": "SITEKEY",
    "pageurl": "https://example.com",
    "pingback": "https://your-server.com/captcha-callback",
    "json": "1",
})
# CaptchaAI will POST the result to your callback URL
# Total round trips: 1 (submit only)

4. Deploy Closer to CaptchaAI

If latency is critical, deploy your workers in a US East region. This reduces RTT to < 30ms.

5. Pre-Submit CAPTCHAs

Start solving before you need the token. If you know a page will require a CAPTCHA, submit the solve request while the page loads.

Impact on Different Architectures

Architecture Latency Impact Mitigation
Single server, sequential Full overhead per solve Keep-alive + callback
Single server, parallel Overhead amortized across concurrent solves Keep-alive + fewer polls
Multi-region deployment Some servers high, some low Route to nearest workers
Serverless (Lambda, Cloud Functions) Cold start + DNS on each invocation Pre-warm + regional deployment
Edge workers (Cloudflare Workers) Depends on region Use callback URL

Troubleshooting

Issue Cause Fix
Solve times 2–3s longer than expected High RTT from your region Measure RTT; deploy closer or use callbacks
Inconsistent solve times Routing changes between requests Use keep-alive to maintain stable path
High latency in Asia/Australia Long network path Deploy proxy workers in US East
Serverless cold start latency DNS + TLS on every invocation Use provisioned concurrency

FAQ

Does CaptchaAI have multiple API regions?

CaptchaAI's API is accessible from a single set of endpoints. Your network latency to those endpoints depends on your server location.

Should I use a proxy closer to CaptchaAI?

The proxy parameter in CaptchaAI is for the CAPTCHA target site, not for the API connection. Your API calls always go directly to CaptchaAI's endpoints.

How much does regional latency matter at low volume?

At low volume (< 100 solves/day), regional latency adds seconds, not minutes. It becomes significant at high volumes where cumulative overhead stacks up.

Next Steps

Measure your regional latency and optimize accordingly — get your CaptchaAI API key.

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