ohmycaptcha

name

ohmycaptcha

description

Deploy, configure, validate, and integrate the OhMyCaptcha captcha-solving service. Use when working with YesCaptcha-style APIs, flow2api integration, reCAPTCHA/hCaptcha/Turnstile task creation, image classification, SGLang local model deployment, Render/Hugging Face cloud deployment, or OpenAI-compatible multimodal model setup. Also use when the user asks how to self-host a captcha-solving service or wants request/response examples for OhMyCaptcha.

OhMyCaptcha Skill

Operational guidance for deploying and integrating the OhMyCaptcha service.

Model architecture

OhMyCaptcha uses two model backends:

• Local model — self-hosted via SGLang/vLLM (e.g. Qwen/Qwen3.5-2B). Handles image recognition and classification tasks. Configured via LOCAL_BASE_URL, LOCAL_API_KEY, LOCAL_MODEL.
• Cloud model — remote OpenAI-compatible API (e.g. gpt-5.4). Handles audio transcription and complex reasoning. Configured via CLOUD_BASE_URL, CLOUD_API_KEY, CLOUD_MODEL.

Supported task types (19 total)

Browser-based (12)

RecaptchaV3TaskProxyless, RecaptchaV3TaskProxylessM1, RecaptchaV3TaskProxylessM1S7, RecaptchaV3TaskProxylessM1S9, RecaptchaV3EnterpriseTask, RecaptchaV3EnterpriseTaskM1, NoCaptchaTaskProxyless, RecaptchaV2TaskProxyless, RecaptchaV2EnterpriseTaskProxyless, HCaptchaTaskProxyless, TurnstileTaskProxyless, TurnstileTaskProxylessM1

Image recognition (3)

ImageToTextTask, ImageToTextTaskMuggle, ImageToTextTaskM1

Image classification (4)

HCaptchaClassification, ReCaptchaV2Classification, FunCaptchaClassification, AwsClassification

Local model setup (SGLang)

pip install "sglang[all]>=0.4.6.post1"
# From ModelScope (China):
export SGLANG_USE_MODELSCOPE=true
python -m sglang.launch_server --model-path Qwen/Qwen3.5-2B --port 30000

Then configure OhMyCaptcha:

export LOCAL_BASE_URL="http://localhost:30000/v1"
export LOCAL_MODEL="Qwen/Qwen3.5-2B"

Startup checklist

1. Install dependencies: pip install -r requirements.txt && playwright install --with-deps chromium
2. Start local model server (SGLang on port 30000)
3. Set env vars: LOCAL_BASE_URL, CLOUD_BASE_URL, CLOUD_API_KEY, CLIENT_KEY
4. Start service: python main.py
5. Verify: curl http://localhost:8000/api/v1/health
6. Test: create a reCAPTCHA v3 task against https://antcpt.com/score_detector/ with key 6LcR_okUAAAAAPYrPe-HK_0RULO1aZM15ENyM-Mf

Response rules

1. Prefer the repository's documented behavior over assumptions.
2. Use placeholder credentials only. Never expose real secrets.
3. Be explicit about limitations:
   • minScore is compatibility-only
   • Task storage is in-memory with 10-min TTL
   • reCAPTCHA v2 and hCaptcha may require image classification fallback in headless environments
4. For deployment help, reference docs/deployment/local-model.md, docs/deployment/render.md, docs/deployment/huggingface.md.
5. For API usage, reference docs/api-reference.md and the usage guides under docs/usage/.