2Captcha vs CapSolver: an honest head-to-head.

Disclosure first: we build NoneCap, an hCaptcha-only solver API, so both services on this page compete with us. The comparison below sticks to what each vendor publishes and what their APIs look like to code against. The NoneCap pitch is confined to one clearly marked section near the end, and there are real workloads where you should ignore it entirely.

2Captcha vs CapSolver at a glance

Solving model: human fallback vs fully automated

This is the structural difference everything else follows from. 2Captcha started as a human-worker service and is now a hybrid: AI models solve most tasks, and low-confidence or unusual tasks get escalated to verified human workers. That fallback is why 2Captcha can take on long-tail captcha types (odd image puzzles, one-off formats) that pure recognition engines refuse.

CapSolver is fully automated. AI models and recognition engines handle everything, with no human queue anywhere in the path. The trade is exactly what you would expect: coverage is bounded by what its models can handle, but there is no worker-pool wait built into a solve, so latency stays more uniform across the day.

Speed expectations

Neither vendor guarantees a solve time, so treat any single number with suspicion. What you can rely on:

• 2Captcha publishes live solving-speed statistics on its site. The AI-solved majority comes back quickly; the variance shows up when a task falls back to human workers, where wait time tracks current worker load and time of day.
• CapSolver’s docs recommend polling getTaskResult every few seconds and note that token tasks (reCAPTCHA, Turnstile and similar) take longer than plain image recognition. Because the path is automated end to end, the spread between a fast solve and a slow one is narrower.

If your pipeline is latency-sensitive, the automated model wins on consistency. If your pipeline hits captcha types automation handles poorly, a slower human-backed solve beats a fast failure. Benchmark both with your real sitekeys; speed differs more by captcha type than by vendor marketing.

Pricing

The billing models are near-identical: prepaid balance, pay per solved task, no subscription, balances that do not expire, and no charge for unsolved tasks on either side. The rates are where they part:

• 2Captcha: its pricing page lists Cloudflare Turnstile at $1.45/1k and reCAPTCHA v2 at $1-$2.99/1k, and rates float with current worker load. There is no standing free tier.
• CapSolver: its pricing page lists reCAPTCHA v2 at $0.80/1k, Turnstile at $1.20/1k, AWS WAF at $2.00/1k, DataDome at $2.50/1k, and image-to-text at $0.40/1k. New accounts get a small bonus that varies.

On the lines both publish, CapSolver posts the lower number. Note the gap on hCaptcha specifically: neither vendor lists a dedicated hCaptcha price. Third-party listicles estimate roughly $2-$2.99/1k on 2Captcha, and CapSolver’s own materials put its entry tier at roughly $0.80/1k. Both are estimates you should confirm against a real dashboard, not official figures.

API ergonomics

2Captcha’s classic flow is the oldest shape in this market: a form-encoded POST to in.php, then a GET poll loop against res.php that returns the sentinel string CAPCHA_NOT_READY until the token shows up. 2Captcha now also offers a newer createTask-style JSON API, but most of the example code you will find in the wild still targets the legacy endpoints:

# 2Captcha (legacy flow): submit to in.php, then poll res.php.
import time, requests

API_KEY = "YOUR_2CAPTCHA_KEY"

cid = requests.post("https://2captcha.com/in.php", data={
    "key":     API_KEY,
    "method":  "hcaptcha",
    "sitekey": "f5ab1c2d-7e8f-4a9b-b1c2-d3e4f5a6b7c8",
    "pageurl": "https://target.example/login",
    "json":    1,
}).json()["request"]

while True:                                  # spin until it's ready
    time.sleep(5)
    r = requests.get("https://2captcha.com/res.php", params={
        "key": API_KEY, "action": "get", "id": cid, "json": 1,
    }).json()
    if r["request"] != "CAPCHA_NOT_READY":
        token = r["request"]
        break

CapSolver used the JSON task shape from day one: createTask with a typed task object, then poll getTaskResult until status is ready. It is the same convention several solver APIs share, so client code ports between them easily:

# CapSolver: createTask, then poll getTaskResult until ready.
import time, requests

CLIENT_KEY = "YOUR_CAPSOLVER_KEY"

tid = requests.post("https://api.capsolver.com/createTask", json={
    "clientKey": CLIENT_KEY,
    "task": {
        "type":       "HCaptchaTaskProxyless",
        "websiteURL": "https://target.example/login",
        "websiteKey": "f5ab1c2d-7e8f-4a9b-b1c2-d3e4f5a6b7c8",
    },
}).json()["taskId"]

while True:                                  # spin until it's ready
    time.sleep(3)
    r = requests.post("https://api.capsolver.com/getTaskResult", json={
        "clientKey": CLIENT_KEY, "taskId": tid,
    }).json()
    if r["status"] == "ready":
        token = r["solution"]["gRecaptchaResponse"]
        break

In practice the two feel similar to operate: both are two-call poll loops, both have official SDKs, and both make you write the retry-and-timeout logic yourself. CapSolver’s JSON-first design is cleaner to integrate fresh; 2Captcha’s legacy API has nearly every scraping framework and captcha plugin already speaking it.

Verdict: which to pick

Use case decides this one, not brand loyalty:

• Pick 2Captcha when breadth and the long tail matter: unusual image captchas, or a mixed pipeline where the human fallback is the difference between a slow solve and no solve. It is also the pragmatic choice when your tooling already speaks in.php/res.php.
• Pick CapSolver for standard high-volume types (reCAPTCHA, Turnstile, AWS WAF, DataDome) where its posted rates are lower and the automated path keeps latency predictable.
• If budget is the deciding factor, load a few dollars onto each and run your real targets for a day. Posted per-1k rates ignore retries, failed-task rates, and per-type routing, which is where the actual cost difference lives.

The third option: if your workload is hCaptcha

Here is the openly biased part. We build NoneCap, and it exists because hCaptcha is an afterthought for both vendors above: no dedicated price line, and a low slot in a catalog that leads with reCAPTCHA. NoneCap solves hCaptcha and nothing else: regular, invisible, and enterprise (rqdata) sitekeys, returning real P1_ tokens you submit as the form’s h-captcha-response.

The integration can be one long-polling call. POST /v1/solves?wait=90 blocks for up to 90 seconds and returns the token as soon as the solve lands; a solve still in flight when that window closes comes back as a 202 with a null token, which you poll on GET /v1/solves/{id}:

curl "https://api.nonecap.com/v1/solves?wait=90" \
  -H "Authorization: Bearer $NONECAP_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type":    "hcaptcha",
    "sitekey": "f5ab1c2d-7e8f-4a9b-b1c2-d3e4f5a6b7c8",
    "url":     "https://target.example/login"
  }'

{
  "id": "solve_01HQF7K3JKWZX",
  "object": "solve",
  "type": "hcaptcha",
  "status": "solved",
  "token": "P1_eyJ0eXAi...UV8w",
  "credits_charged": 1
}

Pricing is published rather than estimated: $0.25 to $0.50 per 1,000 credits depending on pack, from one credit per hCaptcha challenge round, charged on success only, with failed solves never charged. Credits never expire, there is no subscription, and signup comes with 100 free credits. The one-on-one pages cover the details: NoneCap vs 2Captcha and NoneCap vs CapSolver.

When neither recommendation changes

If your workload is reCAPTCHA v2/v3, Cloudflare Turnstile, Arkose/FunCaptcha, DataDome, or AWS WAF, NoneCap does not solve any of them today (reCAPTCHA and Turnstile are on the roadmap, not shipped), so the hCaptcha section above simply does not apply to you. Pick between 2Captcha and CapSolver on the criteria in this page: 2Captcha for breadth and the human-fallback safety net, CapSolver for lower posted rates and uniform automated latency on the standard types. A specialist vendor telling you to use a generalist is still the honest answer when the workload says so.