Anti-Captcha Review

Anti-Captcha was founded in 2007 and is one of the three most widely deployed CAPTCHA solving services. It ranks third on the CaptchaRank leaderboard with a strong reliability score (96% success rate) and competitive solve speed (9.2s average).

Its primary appeal is a clean JSON POST API and competitive pay-per-solve pricing for teams that want reliability without committing to a subscription model.

Quick Verdict

Performance Benchmarks

Solve Speed

Anti-Captcha's average solve time is 9.2 seconds in current benchmarks — faster than 2Captcha (12.0s) and competitive with other AI-assisted providers. Performance is consistent across reCAPTCHA v2 and Cloudflare Turnstile, which are the two most common production CAPTCHA types.

Success Rate

A 96% success rate means 4 in 100 tasks require a retry. For most automation pipelines with proper retry logic, this translates to near-100% effective completion. The rate is consistent across challenge types and does not degrade significantly under high concurrent volume.

Pricing

Anti-Captcha uses pay-per-solve pricing with competitive rates for most common CAPTCHA types.

Rates are published by Anti-Captcha and may change. Verify at anti-captcha.com.

Minimum deposit: $10 — higher than 2Captcha's $1 entry point, but still accessible for testing.

API Quality

Anti-Captcha uses a JSON POST API at api.anti-captcha.com. The API format is distinct from the 2Captcha GET-parameter format:

POST /createTask
{
  "clientKey": "YOUR_API_KEY",
  "task": {
    "type": "RecaptchaV2TaskProxyless",
    "websiteURL": "https://example.com",
    "websiteKey": "RECAPTCHA_SITEKEY"
  }
}

This JSON-native format is considered cleaner than the GET-parameter format used by 2Captcha, particularly for complex task types with many parameters.

Quick Start (Python)

import requests
import time

API_KEY = "YOUR_API_KEY"

# Create task
resp = requests.post("https://api.anti-captcha.com/createTask", json={
    "clientKey": API_KEY,
    "task": {
        "type": "RecaptchaV2TaskProxyless",
        "websiteURL": "https://example.com",
        "websiteKey": "RECAPTCHA_SITEKEY",
    },
})
task_id = resp.json()["taskId"]

# Poll for result
for _ in range(30):
    time.sleep(5)
    result = requests.post("https://api.anti-captcha.com/getTaskResult", json={
        "clientKey": API_KEY,
        "taskId": task_id,
    })
    data = result.json()
    if data["status"] == "ready":
        token = data["solution"]["gRecaptchaResponse"]
        print("Token:", token)
        break

Supported CAPTCHA Types

Anti-Captcha supports all major production CAPTCHA types:

• reCAPTCHA v2 (checkbox, invisible, Enterprise)
• reCAPTCHA v3 (standard, Enterprise)
• Cloudflare Turnstile
• GeeTest v3 and v4
• hCaptcha
• Image OCR
• FunCaptcha (Arkose Labs)
• MTCaptcha

Coverage is strong across the standard type matrix. Slightly narrower than 2Captcha on obscure specialist types.

When to Choose Anti-Captcha

Good fit: - You prefer a modern JSON POST API over GET-parameter format - You need strong reliability (96%) with pay-per-solve flexibility - You need FunCaptcha support without committing to a subscription - Solve speed in the 9s range is acceptable for your pipeline

Consider alternatives: - You need the highest success rate (98%) → consider CaptchaAI - You need the widest type coverage including AWS WAF → consider 2Captcha - You have high volume and want subscription pricing → consider CaptchaAI

FAQ

Is Anti-Captcha's API compatible with 2Captcha libraries? The API formats are different (JSON POST vs GET parameters), but many libraries abstract both. Direct drop-in compatibility requires code changes or a compatibility wrapper.

How long has Anti-Captcha been operating? Since 2007 — one of the longest-running services in the CAPTCHA solving market.

What is Anti-Captcha's minimum deposit? Approximately $10, making it slightly less accessible for pure testing than 2Captcha's $1 minimum.

Compare Anti-Captcha at captcharank.com/compare.

Production Readiness Notes

Use Anti-Captcha Review as a decision and implementation aid, not just as a one-time reference. The practical test for anti-captcha review is whether the same approach behaves reliably when traffic is messy: rotating sessions, expired tokens, changing widget parameters, intermittent solver delays, and target pages that refresh without warning. For Technical buyer / evaluator, the safest rollout is to start with a narrow fixture, record every submitted task, and compare the solver response with the browser state that finally submits the form. That makes failures explainable instead of mysterious, especially when a target alternates between visible challenges, invisible checks, and server-side verification.

Evaluation Criteria

Treat a provider review as a short trial plan. Start with a small balance, test the exact challenge types you need, and record failures with task IDs so support can reproduce them. For solver evaluation work, the most useful scorecard combines technical acceptance with operational cost. A low nominal price is not enough if retries double the real cost per accepted token, and a fast median solve time is not enough if p95 latency stalls the queue. Track these criteria before you standardize the workflow:

• The challenge subtype, sitekey, action, rqdata, blob, captchaId, or page URL used for each task.
• Median and p95 solve time, separated by provider and target domain.
• Accepted-token rate on the target page, not just successful API responses.
• Retry count, timeout count, zero-balance incidents, and invalid-parameter errors.
• The exact browser, proxy region, and user-agent that submitted the solved token.

Rollout Checklist

Before this guidance moves into a production job, build a small acceptance suite around the pages that matter most. Run it with a fixed browser profile, then repeat with the proxy and concurrency settings you expect in production. Keep the first release conservative: bounded polling, clear timeout handling, and a fallback path when the solver cannot return a usable answer. For solver evaluation, compare providers on solve rate, p95 latency, API ergonomics, coverage, pricing predictability, and how quickly support resolves edge cases. That checklist keeps the article useful after the first copy-paste, because the integration is judged by end-to-end completion rather than by whether a code sample returned a string.

Monitoring Signals

Healthy CAPTCHA automation is observable. Log the task id, provider, challenge type, target host, queue time, solve time, final submit status, and normalized error code for every attempt. Review those logs in daily batches at first, then move to alerts once the baseline is stable. Sudden drops usually come from target-side changes: a new sitekey, a changed action name, a stricter hostname check, an added managed challenge, or a proxy pool that no longer matches the expected geography. When you can see those shifts quickly, provider switching becomes a controlled decision instead of a late-night rewrite.

Maintenance Cadence

Revisit the setup whenever the target UI changes, when the solver provider changes task names or pricing, or when benchmark data shows a sustained latency or solve-rate shift. Keep one known-good fixture for each CAPTCHA subtype and rerun it after dependency upgrades, browser updates, and proxy changes. If the article is used for vendor selection, repeat the same fixture across at least two providers before renewing a balance or migrating the whole pipeline. That habit keeps anti-captcha review work aligned with the real target behavior rather than with stale assumptions.