captchasonic 1.1.0

Official CaptchaSonic Python SDK — modern, async-ready, gRPC + HTTP

captchasonic

Official CaptchaSonic library for Python.

The CaptchaSonic Python SDK is a modern, async-ready library designed for high-throughput automation. It features first-class type hints, dual-transport flexibility (gRPC + HTTP), and automatic retry logic.

Works in Python 3.10+ — scripts, notebooks, Django, FastAPI, Flask, and CLI tools.

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Installation

pip install captchasonic

For HTTP transport (optional):

pip install "captchasonic[http]"

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Quick Start

from captchasonic import CaptchaSonic

solver = CaptchaSonic("YOUR_API_KEY")

result = solver.solve_recaptcha_v2(
    images=[tile1, tile2, tile3],
    question="traffic lights",
)

print(result["typed_solution"]["grid"]["objects"])  # [2, 4, 7]

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Usage — Geetest (nine-grid)

from captchasonic import CaptchaSonic

solver = CaptchaSonic("YOUR_API_KEY")

try:
    result = solver.solve_geetest(
        geetest_type="nine",
        question="Select all bicycles",
        images=tiles,            # list[bytes | Path | str]
    )
    print("Solution:", result["typed_solution"])
except Exception as err:
    print("Error:", err)

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Async Usage

The SDK ships a full async client with identical methods.

import asyncio
from captchasonic import AsyncCaptchaSonic

async def main():
    async with AsyncCaptchaSonic("YOUR_API_KEY") as solver:
        result = await solver.solve_geetest(
            geetest_type="nine",
            question="Select all bicycles",
            images=tiles,
        )
        print("Solution:", result["typed_solution"])

asyncio.run(main())

---

Configuration

solver = CaptchaSonic(
    "YOUR_API_KEY",
    transport="grpc",           # "grpc" (default) or "http"
    url="api.captchasonic.com:443",  # Override the API endpoint. Optional.
    base_url=None,              # Alias for url. Optional.
    timeout=30.0,               # Per-call timeout in seconds. Default: 30.
    polling_interval=2.0,       # Seconds between task polls. Default: 2.
    polling_timeout=120.0,      # Max seconds to wait for async task. Default: 120.
    secure=True,                # Use TLS for gRPC. Default: True.
)

Transport guide:

Transport	Environments	Protocol
grpc (default)	Server-side Python	gRPC binary over HTTP/2 — lowest latency
http	Universal	Plain REST/JSON via httpx

grpc sends images as raw binary — zero base64 overhead. http auto-encodes images to base64 before sending.

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Solve Methods

All methods accept keyword arguments with full type hints and docstrings.

solve_popular_captcha()

solver.solve_popular_captcha(
    images=list[ImageInput],
    question=str,                # e.g. "Select all traffic lights"
    question_type=str,           # "objectClassify" | "objectClick" | "objectDrag" | "grid"
    examples=list[ImageInput],   # optional
    screenshot=bool,             # optional, default False
    website_url=str,             # optional
    website_key=str,             # optional
)

solve_recaptcha_v2()

solver.solve_recaptcha_v2(
    images=list[ImageInput],
    question=str,                # "traffic lights" or "/m/015qff"
    question_type=str,           # "split_33" | "33" | "44". Optional.
    website_url=str,             # optional
    website_key=str,             # optional
)

solve_geetest()

solver.solve_geetest(
    geetest_type=str,            # "nine" | "click" | "slide" | "match" | "winlinze"
    question=str,                # required for "nine" and "click"
    images=list[ImageInput],     # required for "nine", "click", "slide"
    examples=list[ImageInput],   # optional
    gtv=int,                     # Geetest version (e.g. 3). Optional.
    website_url=str,             # optional
)

# Type aliases also accepted:
# "nine"     → "geetest_nine" | "9"
# "click"    → "geetest_click" | "icon"
# "slide"    → "geetest_slide"
# "match"    → "geetest_match"
# "winlinze" → "geetest_winlinze"

solve_ocr()

solver.solve_ocr(
    images=list[ImageInput],
    module=str,                  # "common" | "mtcaptcha" | "bls" | "morocco". Optional.
    numeric=bool,                # Expect only digits. Optional.
    case_sensitive=bool,         # Preserve letter case. Optional.
    min_length=int,              # Minimum text length. Optional.
    max_length=int,              # Maximum text length. Optional.
    website_url=str,             # optional
)
# Returns: result["typed_solution"]["text"]["texts"][0]

solve_tiktok()

solver.solve_tiktok(
    type=str,                    # "click" | "whirl" | "slide" (or "tiktok_click" etc.)
    question=str,                # optional
    images=list[ImageInput],
    examples=list[ImageInput],   # required for "whirl" and "slide"
    website_url=str,             # optional
)

solve_binance()

solver.solve_binance(
    type=str,                    # "grid" | "slide" (or "binance_grid" etc.)
    question=str,                # required for "grid"
    images=list[ImageInput],
    examples=list[ImageInput],   # optional
    website_url=str,             # optional
)

solve_aws_waf()

solver.solve_aws_waf(
    images=list[ImageInput],
    question=str,                # e.g. "grid:vehicles:cars"
    website_url=str,             # optional
    website_key=str,             # optional
)

solve_slide_image()

solver.solve_slide_image(images=[background, piece])
# Returns: result["typed_solution"]["slide"]["x"] — pixel offset

Token Automation Methods

These submit a task and poll until a token is returned (up to 120 s).

solver.solve_turnstile(website_url=..., website_key=..., proxy=...)
solver.solve_popular_captcha_token(website_url=..., website_key=..., proxy=..., metadata=...)
solver.solve_recaptcha_v2_token(website_url=..., website_key=..., proxy=...)
solver.solve_recaptcha_v3_token(website_url=..., website_key=..., proxy=...)
solver.solve_cloudflare(website_url=..., website_key=..., proxy=...)  # proxy required

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Account Methods

balance = solver.get_balance()    # → float (USD)
solver.health_check()             # → HealthCheckResponse

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Image Input

from pathlib import Path

ImageInput = bytes | str | Path | BinaryIO

# File path
solver.solve_ocr(images=[Path("captcha.png")])
solver.solve_ocr(images=["./captcha.png"])

# Raw bytes
with open("captcha.png", "rb") as f:
    solver.solve_ocr(images=[f.read()])

grpc sends images as raw binary — zero base64 overhead. http auto-encodes images to base64 before sending.

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Error Handling

from captchasonic import CaptchaSonic
from captchasonic.exceptions import SonicError

try:
    result = solver.solve_geetest(geetest_type="nine", question="bicycles", images=tiles)
except SonicError as err:
    print(err.error_id)    # 1–6
    print(type(err).__name__)  # "InvalidApiKeyError" | "InsufficientBalanceError" | ...
    print(err)

error_id	Exception	Meaning
1	InvalidApiKeyError	API key not valid
2	InsufficientBalanceError	Insufficient credits
3	DailyLimitExceededError	Daily quota exceeded
4	MinuteLimitExceededError	Rate limit hit
5	QuotaExceededError	Plan quota exceeded
6	PlanExpiredError	Subscription expired

Transient gRPC errors are retried automatically with exponential backoff — up to 3 attempts.

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Context Manager

# Sync — auto-closes gRPC channel / HTTP session
with CaptchaSonic("YOUR_API_KEY") as solver:
    result = solver.solve_ocr(images=[Path("captcha.png")])
    print(result["typed_solution"]["text"]["texts"][0])

# Async
async with AsyncCaptchaSonic("YOUR_API_KEY") as solver:
    result = await solver.solve_ocr(images=[Path("captcha.png")])

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Requirements

• Python ≥ 3.10
• gRPC transport — grpcio, protobuf (included)
• HTTP transport — httpx (install with pip install captchasonic[http])

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License

MIT — see LICENSE