diff --git a/.gitignore b/.gitignore
index 52eecfc..f3183b4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -17,3 +17,8 @@ cases/_session_archives/
 __pycache__/
 *.py[cod]
 *$py.class
+
+# 验证码原始与中间数据集（防止大文件污染 git）
+tcaptcha/data/raw/
+tcaptcha/data/crops/
+data/
diff --git a/pyproject.toml b/pyproject.toml
index 70e86ca..6aa71ce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,5 +4,6 @@ version = "0.1.0"
 requires-python = ">=3.12"
 dependencies = [
     "httpx>=0.28.1",
+    "numpy>=2.5.3",
     "pillow>=12.3.0",
 ]
diff --git a/tcaptcha/collector.py b/tcaptcha/collector.py
new file mode 100644
index 0000000..0122b30
--- /dev/null
+++ b/tcaptcha/collector.py
@@ -0,0 +1,242 @@
+"""
+腾讯天御点选验证码 (Tencent Turing Captcha) 样本纯协议采集器
+通过模拟前端两步 HTTP 接口直接拉取高清原图：
+1. GET /cap_union_prehandle 获取初始会话 sess
+2. POST /cap_union_new_getsig 获取题目配置与背景/提示图 URL
+3. 并行下载 672x480 背景大图与 170x50 提示图标图
+"""
+
+import argparse
+import asyncio
+import json
+import logging
+import os
+import random
+import re
+import time
+from pathlib import Path
+from typing import Optional, Tuple
+
+import httpx
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    datefmt="%H:%M:%S",
+)
+logger = logging.getLogger("tcaptcha_collector")
+
+
+class TencentCaptchaCollector:
+    BASE_URL = "https://turing.captcha.qcloud.com"
+    DEFAULT_AID = "2039519451"
+
+    def __init__(self, aid: str = DEFAULT_AID, output_dir: str = "tcaptcha/data/raw", timeout: float = 10.0):
+        self.aid = aid
+        self.output_dir = Path(output_dir)
+        self.output_dir.mkdir(parents=True, exist_ok=True)
+        self.index_file = self.output_dir / "index.jsonl"
+        self.timeout = timeout
+
+        self.client = httpx.Client(
+            base_url=self.BASE_URL,
+            trust_env=False,
+            headers={
+                "User-Agent": (
+                    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
+                    "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36"
+                ),
+                "Referer": "https://turing.captcha.qcloud.com/",
+                "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
+            },
+            timeout=self.timeout,
+            follow_redirects=True,
+        )
+
+    def _fetch_session(self) -> Tuple[Optional[str], Optional[str]]:
+        """第一步：预检请求获取 sess"""
+        cb_name = f"_aq_{random.randint(100000, 999999)}"
+        tkid = str(random.randint(100000000, 999999999))
+        ua_b64 = "TW96aWxsYS81LjAgKE1hY2ludG9zaDsgSW50ZWwgTWFjIE9TIFggMTBfMTVfNykgQXBwbGVXZWJLaXQvNTM3LjM2IChLSFRNTCwgbGlrZSBHZWNrbykgQ2hyb21lLzE1Mi4wLjAuMCBTYWZhcmkvNTM3LjM2"
+
+        params = {
+            "aid": self.aid,
+            "protocol": "https",
+            "accver": "1",
+            "showtype": "popup",
+            "ua": ua_b64,
+            "noheader": "1",
+            "fb": "1",
+            "grayscale": "1",
+            "clientype": "2",
+            "lang": "zh-cn",
+            "js": "/tcaptcha-frame.ba387dd1.js",
+            "wb": "2",
+            "tkid": tkid,
+            "subsid": "1",
+            "callback": cb_name,
+        }
+
+        resp = self.client.get("/cap_union_prehandle", params=params)
+        if resp.status_code != 200:
+            logger.error("prehandle failed with status %d", resp.status_code)
+            return None, None
+
+        match = re.search(rf"{cb_name}\((.*)\)", resp.text)
+        if not match:
+            logger.error("Failed to parse prehandle response: %s", resp.text[:100])
+            return None, None
+
+        try:
+            data = json.loads(match.group(1))
+            sess = data.get("sess")
+            return sess, tkid
+        except Exception as e:
+            logger.error("Failed to decode JSON from prehandle: %s", e)
+            return None, None
+
+    def _fetch_sig_and_images(self, sess: str, tkid: str) -> Optional[dict]:
+        """第二步：请求题目信息并下载图片对"""
+        resp = self.client.post(
+            "/cap_union_new_getsig",
+            data={"sess": sess, "tkid": tkid},
+            headers={"Content-Type": "application/x-www-form-urlencoded"},
+        )
+
+        if resp.status_code != 200:
+            logger.error("getsig failed with status %d", resp.status_code)
+            return None
+
+        try:
+            res_json = resp.json()
+        except Exception as e:
+            logger.error("Failed to decode getsig JSON: %s", e)
+            return None
+
+        if str(res_json.get("ret")) != "0":
+            logger.warning("getsig returned non-zero ret: %s", res_json)
+            return None
+
+        cfg = res_json.get("data", {})
+        instruction = cfg.get("instruction", "请依次点击：")
+        bg_cfg = cfg.get("bg_elem_cfg", {})
+        img_url_bg = bg_cfg.get("img_url", "")
+
+        if not img_url_bg:
+            logger.warning("No img_url found in getsig response")
+            return None
+
+        img_url_prompt = img_url_bg.replace("img_index=1", "img_index=0")
+
+        # 下载背景大图 (672x480) 与 提示图 (170x50)
+        bg_resp = self.client.get(img_url_bg)
+        prompt_resp = self.client.get(img_url_prompt)
+
+        if bg_resp.status_code != 200 or prompt_resp.status_code != 200:
+            logger.error("Failed to download image pairs")
+            return None
+
+        return {
+            "instruction": instruction,
+            "bg_bytes": bg_resp.content,
+            "prompt_bytes": prompt_resp.content,
+            "img_url_bg": img_url_bg,
+            "img_url_prompt": img_url_prompt,
+            "sess": sess,
+            "tkid": tkid,
+        }
+
+    def fetch_one(self) -> Optional[str]:
+        """采集单组样本并保存到本地"""
+        sess, tkid = self._fetch_session()
+        if not sess or not tkid:
+            return None
+
+        data = self._fetch_sig_and_images(sess, tkid)
+        if not data:
+            return None
+
+        sample_id = f"{int(time.time() * 1000)}_{random.randint(1000, 9999)}"
+        bg_filename = f"{sample_id}_bg.png"
+        prompt_filename = f"{sample_id}_prompt.png"
+        meta_filename = f"{sample_id}_meta.json"
+
+        bg_path = self.output_dir / bg_filename
+        prompt_path = self.output_dir / prompt_filename
+        meta_path = self.output_dir / meta_filename
+
+        bg_path.write_bytes(data["bg_bytes"])
+        prompt_path.write_bytes(data["prompt_bytes"])
+
+        meta_info = {
+            "sample_id": sample_id,
+            "timestamp": time.time(),
+            "aid": self.aid,
+            "instruction": data["instruction"],
+            "bg_file": bg_filename,
+            "prompt_file": prompt_filename,
+            "bg_size": len(data["bg_bytes"]),
+            "prompt_size": len(data["prompt_bytes"]),
+            "sess": data["sess"],
+            "tkid": data["tkid"],
+        }
+
+        meta_path.write_text(json.dumps(meta_info, ensure_ascii=False, indent=2), encoding="utf-8")
+
+        # 写入 index.jsonl
+        with open(self.index_file, "a", encoding="utf-8") as f:
+            f.write(json.dumps(meta_info, ensure_ascii=False) + "\n")
+
+        logger.info(
+            "✓ 采集成功 [%s]: 大图 %d KB, 提示图 %d KB | 提示: %s",
+            sample_id,
+            len(data["bg_bytes"]) // 1024,
+            len(data["prompt_bytes"]) // 1024,
+            data["instruction"],
+        )
+        return sample_id
+
+    def collect_batch(self, count: int = 10, delay: float = 0.8) -> int:
+        """批量采集样本"""
+        logger.info("开始批量采集点选验证码样本，目标数量: %d, 间隔: %.2fs", count, delay)
+        success_count = 0
+
+        for i in range(count):
+            try:
+                sid = self.fetch_one()
+                if sid:
+                    success_count += 1
+                else:
+                    logger.warning("第 %d/%d 个样本采集失败，准备重试", i + 1, count)
+            except Exception as e:
+                logger.error("采集异常: %s", e)
+
+            if i < count - 1 and delay > 0:
+                # 随机微弱浮动，模拟正常采集
+                actual_delay = delay + random.uniform(-0.2, 0.3)
+                time.sleep(max(0.2, actual_delay))
+
+        logger.info("批量采集完成: 成功 %d/%d (存储目录: %s)", success_count, count, self.output_dir)
+        return success_count
+
+    def close(self):
+        self.client.close()
+
+
+def main():
+    parser = argparse.ArgumentParser(description="腾讯天御点选验证码纯协议批量采集器")
+    parser.add_argument("--count", type=int, default=10, help="采集样本数量 (默认: 10)")
+    parser.add_argument("--delay", type=float, default=0.8, help="每次请求间隔秒数 (默认: 0.8)")
+    parser.add_argument("--aid", type=str, default=TencentCaptchaCollector.DEFAULT_AID, help="业务 AppID")
+    parser.add_argument("--output-dir", type=str, default="tcaptcha/data/raw", help="保存路径")
+
+    args = parser.parse_args()
+    collector = TencentCaptchaCollector(aid=args.aid, output_dir=args.output_dir)
+    try:
+        collector.collect_batch(count=args.count, delay=args.delay)
+    finally:
+        collector.close()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tcaptcha/slicer.py b/tcaptcha/slicer.py
new file mode 100644
index 0000000..f410e0c
--- /dev/null
+++ b/tcaptcha/slicer.py
@@ -0,0 +1,86 @@
+"""
+提示词图像自动切割模块
+将 170x50 的提示图自动切分为 3 个独立的图标小图
+"""
+
+from pathlib import Path
+from typing import List, Tuple
+import numpy as np
+from PIL import Image
+
+
+def slice_prompt_image(prompt_img_path: str | Path, padding: int = 2) -> List[Tuple[Image.Image, Tuple[int, int, int, int]]]:
+    """
+    自动识别并切割提示图中的 3 个字符/图标
+    返回: [(PIL_Image, (x1, y1, x2, y2)), ...]
+    """
+    img = Image.open(prompt_img_path).convert("L")
+    arr = np.array(img)
+    h, w = arr.shape
+
+    # 背景灰度基准 (通常取左上角像素)
+    bg_val = int(arr[0, 0])
+
+    # 提取暗色笔画像素（排除灰色背景）
+    mask = arr < (bg_val - 25)
+
+    # 水平方向投影，找出连续包含笔画的列区间
+    cols_has_dark = mask.any(axis=0)
+
+    segments: List[Tuple[int, int]] = []
+    in_seg = False
+    start = 0
+
+    for i, val in enumerate(cols_has_dark):
+        if val and not in_seg:
+            in_seg = True
+            start = i
+        elif not val and in_seg:
+            in_seg = False
+            if i - start >= 5:  # 过滤过窄杂点
+                segments.append((start, i))
+    if in_seg and (w - start >= 5):
+        segments.append((start, w))
+
+    # 若投影分割不足 3 段（极罕见），按固定 3 等分兜底
+    if len(segments) != 3:
+        step = w // 3
+        segments = [(i * step + 5, (i + 1) * step - 5) for i in range(3)]
+
+    # 原始彩色图用于切片
+    orig_img = Image.open(prompt_img_path).convert("RGBA")
+    crops = []
+
+    for seg_start, seg_end in segments[:3]:
+        # 纵向精确裁剪
+        sub_mask = mask[:, seg_start:seg_end]
+        rows_has_dark = sub_mask.any(axis=1)
+        row_indices = np.where(rows_has_dark)[0]
+
+        if len(row_indices) > 0:
+            top = max(0, int(row_indices[0]) - padding)
+            bottom = min(h, int(row_indices[-1]) + 1 + padding)
+        else:
+            top, bottom = 0, h
+
+        left = max(0, seg_start - padding)
+        right = min(w, seg_end + padding)
+
+        box = (left, top, right, bottom)
+        crop = orig_img.crop(box)
+        crops.append((crop, box))
+
+    return crops
+
+
+if __name__ == "__main__":
+    import sys
+
+    sample = sys.argv[1] if len(sys.argv) > 1 else "tcaptcha/data/raw/1789135559041_4170_prompt.png"
+    if Path(sample).exists():
+        results = slice_prompt_image(sample)
+        print(f"切片完成，切出 {len(results)} 个目标:")
+        for idx, (c, b) in enumerate(results):
+            print(f"  [{idx+1}] 尺寸: {c.size}, 边界框: {b}")
+    else:
+        print(f"样本文件不存在: {sample}")
diff --git a/tcaptcha/web_labeler.py b/tcaptcha/web_labeler.py
new file mode 100644
index 0000000..c6684f2
--- /dev/null
+++ b/tcaptcha/web_labeler.py
@@ -0,0 +1,493 @@
+"""
+极简本地 Web 点选验证码打标工具
+启动方式: uv run python tcaptcha/web_labeler.py --port 8765
+访问地址: http://127.0.0.1:8765
+"""
+
+import argparse
+import base64
+import json
+import logging
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from io import BytesIO
+from pathlib import Path
+from urllib.parse import parse_qs, urlparse
+
+from PIL import Image
+
+try:
+    from tcaptcha.slicer import slice_prompt_image
+except ImportError:
+    from slicer import slice_prompt_image
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+logger = logging.getLogger("web_labeler")
+
+RAW_DIR = Path("tcaptcha/data/raw")
+LABEL_FILE = Path("tcaptcha/data/labels.jsonl")
+CROPS_DIR = Path("tcaptcha/data/crops")
+
+
+def get_labeled_sample_ids() -> set:
+    if not LABEL_FILE.exists():
+        return set()
+    labeled = set()
+    with open(LABEL_FILE, "r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                try:
+                    record = json.loads(line)
+                    labeled.add(record.get("sample_id"))
+                except Exception:
+                    pass
+    return labeled
+
+
+def get_all_samples() -> list:
+    if not RAW_DIR.exists():
+        return []
+    meta_files = sorted(RAW_DIR.glob("*_meta.json"))
+    samples = []
+    for mf in meta_files:
+        try:
+            meta = json.loads(mf.read_text(encoding="utf-8"))
+            samples.append(meta)
+        except Exception:
+            pass
+    return samples
+
+
+def get_sample_data(sample_id: str):
+    bg_path = RAW_DIR / f"{sample_id}_bg.png"
+    prompt_path = RAW_DIR / f"{sample_id}_prompt.png"
+    meta_path = RAW_DIR / f"{sample_id}_meta.json"
+
+    if not bg_path.exists() or not prompt_path.exists() or not meta_path.exists():
+        return None
+
+    meta = json.loads(meta_path.read_text(encoding="utf-8"))
+
+    # 切割提示图标
+    crops = slice_prompt_image(prompt_path)
+    sliced_b64 = []
+    for idx, (crop_img, _) in enumerate(crops):
+        buf = BytesIO()
+        crop_img.save(buf, format="PNG")
+        b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
+        sliced_b64.append(f"data:image/png;base64,{b64}")
+
+    bg_b64 = base64.b64encode(bg_path.read_bytes()).decode("utf-8")
+    prompt_b64 = base64.b64encode(prompt_path.read_bytes()).decode("utf-8")
+
+    return {
+        "sample_id": sample_id,
+        "instruction": meta.get("instruction", "请依次点击："),
+        "bg_b64": f"data:image/png;base64,{bg_b64}",
+        "prompt_b64": f"data:image/png;base64,{prompt_b64}",
+        "sliced_prompts": sliced_b64,
+    }
+
+
+HTML_TEMPLATE = """<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>腾讯天御点选验证码 - 标注工作台</title>
+<style>
+  :root {
+    --bg: #0f172a;
+    --card: #1e293b;
+    --border: #334155;
+    --text: #f8fafc;
+    --muted: #94a3b8;
+    --accent: #38bdf8;
+    --success: #22c55e;
+    --warning: #f59e0b;
+    --danger: #ef4444;
+  }
+  * { box-sizing: border-box; margin: 0; padding: 0; }
+  body {
+    background: var(--bg);
+    color: var(--text);
+    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+    padding: 20px;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    min-height: 100vh;
+  }
+  .header {
+    width: 720px;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 16px;
+  }
+  .title { font-size: 20px; font-weight: 700; color: var(--accent); }
+  .stats { font-size: 14px; color: var(--muted); }
+  .card {
+    background: var(--card);
+    border: 1px solid var(--border);
+    border-radius: 12px;
+    padding: 20px;
+    width: 720px;
+    box-shadow: 0 10px 25px -5px rgba(0,0,0,0.5);
+  }
+  .prompt-section {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    background: #090d16;
+    border: 1px solid var(--border);
+    border-radius: 8px;
+    padding: 12px 18px;
+    margin-bottom: 16px;
+  }
+  .prompt-label { font-size: 15px; font-weight: 600; color: #e2e8f0; }
+  .targets-container {
+    display: flex;
+    gap: 16px;
+    align-items: center;
+  }
+  .target-item {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    gap: 4px;
+  }
+  .target-badge {
+    font-size: 12px;
+    font-weight: 700;
+    padding: 2px 6px;
+    border-radius: 4px;
+    background: #334155;
+    color: #cbd5e1;
+  }
+  .target-item:nth-child(1) .target-badge { background: #0284c7; color: #fff; }
+  .target-item:nth-child(2) .target-badge { background: #16a34a; color: #fff; }
+  .target-item:nth-child(3) .target-badge { background: #d97706; color: #fff; }
+  .target-img {
+    height: 48px;
+    background: #cbd5e1;
+    border-radius: 4px;
+    padding: 2px;
+  }
+  .canvas-wrapper {
+    position: relative;
+    width: 672px;
+    height: 480px;
+    margin: 0 auto;
+    border-radius: 8px;
+    overflow: hidden;
+    cursor: crosshair;
+    box-shadow: 0 4px 12px rgba(0,0,0,0.3);
+  }
+  #bgCanvas {
+    position: absolute;
+    left: 0;
+    top: 0;
+    width: 672px;
+    height: 480px;
+  }
+  .toolbar {
+    margin-top: 18px;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+  }
+  .btn-group { display: flex; gap: 10px; }
+  button {
+    padding: 8px 16px;
+    border-radius: 6px;
+    border: none;
+    font-size: 14px;
+    font-weight: 600;
+    cursor: pointer;
+    transition: all 0.15s ease;
+  }
+  .btn-primary { background: #0284c7; color: white; }
+  .btn-primary:hover { background: #0369a1; }
+  .btn-primary:disabled { background: #334155; cursor: not-allowed; opacity: 0.6; }
+  .btn-secondary { background: #334155; color: #cbd5e1; }
+  .btn-secondary:hover { background: #475569; }
+  .btn-danger { background: #dc2626; color: white; }
+  .btn-danger:hover { background: #b91c1c; }
+  .points-display {
+    font-size: 13px;
+    color: var(--muted);
+    font-family: monospace;
+  }
+  .shortcut-tip {
+    font-size: 12px;
+    color: #64748b;
+    margin-top: 12px;
+    text-align: center;
+  }
+</style>
+</head>
+<body>
+
+<div class="header">
+  <div class="title">🎯 腾讯天御点选验证码 · 标注工具</div>
+  <div class="stats" id="statsInfo">加载中...</div>
+</div>
+
+<div class="card" id="mainCard">
+  <div class="prompt-section">
+    <div class="prompt-label" id="instructionText">请依次点击：</div>
+    <div class="targets-container" id="targetsBox"></div>
+  </div>
+
+  <div class="canvas-wrapper" id="canvasWrapper">
+    <canvas id="bgCanvas" width="672" height="480"></canvas>
+  </div>
+
+  <div class="toolbar">
+    <div class="points-display" id="pointsText">已标记: 0 / 3 点</div>
+    <div class="btn-group">
+      <button class="btn-secondary" onclick="undoPoint()">撤销 (Z)</button>
+      <button class="btn-secondary" onclick="resetPoints()">重选 (R)</button>
+      <button class="btn-secondary" onclick="skipSample()">跳过 (S)</button>
+      <button class="btn-primary" id="saveBtn" onclick="submitLabel()" disabled>保存并下一题 (Enter)</button>
+    </div>
+  </div>
+  <div class="shortcut-tip">快捷键: 点击大图标记坐标 | [Z] 撤销 | [R] 重置 | [S] 跳过 | [Enter/Space] 保存</div>
+</div>
+
+<script>
+let currentSample = null;
+let clickedPoints = [];
+const canvas = document.getElementById("bgCanvas");
+const ctx = canvas.getContext("2d");
+let bgImage = new Image();
+
+const COLORS = ["#0284c7", "#16a34a", "#d97706"];
+
+async function loadNext() {
+  const res = await fetch("/api/next");
+  const data = await res.json();
+  if (data.finished) {
+    alert("🎉 所有已采集样本标注完成！");
+    return;
+  }
+  currentSample = data.sample;
+  document.getElementById("statsInfo").innerText = `已标注: ${data.stats.labeled} / 总样本: ${data.stats.total}`;
+  document.getElementById("instructionText").innerText = currentSample.instruction || "请依次点击：";
+
+  // 渲染提示图标
+  const container = document.getElementById("targetsBox");
+  container.innerHTML = "";
+  currentSample.sliced_prompts.forEach((src, i) => {
+    const item = document.createElement("div");
+    item.className = "target-item";
+    item.innerHTML = `
+      <span class="target-badge">目标 ${i+1}</span>
+      <img class="target-img" src="${src}">
+    `;
+    container.appendChild(item);
+  });
+
+  // 渲染背景图
+  clickedPoints = [];
+  updateDisplay();
+  bgImage.onload = () => drawCanvas();
+  bgImage.src = currentSample.bg_b64;
+}
+
+function drawCanvas() {
+  ctx.clearRect(0, 0, canvas.width, canvas.height);
+  ctx.drawImage(bgImage, 0, 0, canvas.width, canvas.height);
+
+  // 绘制点击点
+  clickedPoints.forEach((pt, i) => {
+    const color = COLORS[i] || "#ef4444";
+    // 外圆
+    ctx.beginPath();
+    ctx.arc(pt.x, pt.y, 16, 0, 2 * Math.PI);
+    ctx.fillStyle = color;
+    ctx.fill();
+    ctx.lineWidth = 2;
+    ctx.strokeStyle = "#ffffff";
+    ctx.stroke();
+
+    // 内部数字
+    ctx.fillStyle = "#ffffff";
+    ctx.font = "bold 13px sans-serif";
+    ctx.textAlign = "center";
+    ctx.textBaseline = "middle";
+    ctx.fillText(`${i+1}`, pt.x, pt.y);
+  });
+}
+
+canvas.addEventListener("click", (e) => {
+  if (!currentSample || clickedPoints.length >= 3) return;
+  const rect = canvas.getBoundingClientRect();
+  const scaleX = canvas.width / rect.width;
+  const scaleY = canvas.height / rect.height;
+  const x = Math.round((e.clientX - rect.left) * scaleX);
+  const y = Math.round((e.clientY - rect.top) * scaleY);
+
+  clickedPoints.push({ x, y });
+  drawCanvas();
+  updateDisplay();
+});
+
+function updateDisplay() {
+  const saveBtn = document.getElementById("saveBtn");
+  document.getElementById("pointsText").innerText = `已标记: ${clickedPoints.length} / 3 点 ${JSON.stringify(clickedPoints.map(p => [p.x, p.y]))}`;
+  saveBtn.disabled = clickedPoints.length !== 3;
+}
+
+function undoPoint() {
+  if (clickedPoints.length > 0) {
+    clickedPoints.pop();
+    drawCanvas();
+    updateDisplay();
+  }
+}
+
+function resetPoints() {
+  clickedPoints = [];
+  drawCanvas();
+  updateDisplay();
+}
+
+function skipSample() {
+  loadNext();
+}
+
+async function submitLabel() {
+  if (clickedPoints.length !== 3) return;
+  const payload = {
+    sample_id: currentSample.sample_id,
+    points: clickedPoints,
+  };
+  const res = await fetch("/api/save", {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify(payload)
+  });
+  if (res.ok) {
+    loadNext();
+  } else {
+    alert("保存失败，请检查终端日志");
+  }
+}
+
+window.addEventListener("keydown", (e) => {
+  if (e.key === "z" || e.key === "Z") undoPoint();
+  if (e.key === "r" || e.key === "R") resetPoints();
+  if (e.key === "s" || e.key === "S") skipSample();
+  if (e.key === "Enter" || e.key === " ") {
+    if (clickedPoints.length === 3) submitLabel();
+  }
+});
+
+loadNext();
+</script>
+</body>
+</html>
+"""
+
+
+class LabelHandler(BaseHTTPRequestHandler):
+    def do_GET(self):
+        url = urlparse(self.path)
+        if url.path in ["/", "/index.html"]:
+            self.send_response(200)
+            self.send_header("Content-Type", "text/html; charset=utf-8")
+            self.end_headers()
+            self.wfile.write(HTML_TEMPLATE.encode("utf-8"))
+            return
+
+        if url.path == "/api/next":
+            all_samples = get_all_samples()
+            labeled_ids = get_labeled_sample_ids()
+
+            unlabeled = [s for s in all_samples if s.get("sample_id") not in labeled_ids]
+            if not unlabeled:
+                resp_data = {"finished": True, "stats": {"total": len(all_samples), "labeled": len(labeled_ids)}}
+            else:
+                next_sample = unlabeled[0]
+                sample_data = get_sample_data(next_sample["sample_id"])
+                resp_data = {
+                    "finished": False,
+                    "sample": sample_data,
+                    "stats": {"total": len(all_samples), "labeled": len(labeled_ids)},
+                }
+
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json; charset=utf-8")
+            self.end_headers()
+            self.wfile.write(json.dumps(resp_data).encode("utf-8"))
+            return
+
+        self.send_response(404)
+        self.end_headers()
+
+    def do_POST(self):
+        url = urlparse(self.path)
+        if url.path == "/api/save":
+            content_len = int(self.headers.get("Content-Length", 0))
+            body = self.rfile.read(content_len).decode("utf-8")
+            data = json.loads(body)
+            sample_id = data.get("sample_id")
+            points = data.get("points", [])
+
+            if not sample_id or len(points) != 3:
+                self.send_response(400)
+                self.end_headers()
+                return
+
+            LABEL_FILE.parent.mkdir(parents=True, exist_ok=True)
+            CROPS_DIR.mkdir(parents=True, exist_ok=True)
+
+            # 保存切片作为正样本
+            bg_path = RAW_DIR / f"{sample_id}_bg.png"
+            if bg_path.exists():
+                bg_img = Image.open(bg_path).convert("RGBA")
+                for i, pt in enumerate(points):
+                    cx, cy = pt["x"], pt["y"]
+                    # 裁剪 54x54 小图块
+                    crop_box = (max(0, cx - 27), max(0, cy - 27), min(672, cx + 27), min(480, cy + 27))
+                    crop_patch = bg_img.crop(crop_box)
+                    crop_patch.save(CROPS_DIR / f"{sample_id}_target_{i+1}.png")
+
+            # 写入 labels.jsonl
+            record = {
+                "sample_id": sample_id,
+                "points": points,
+                "ans_format": [{"elem_id": i + 1, "type": "DynAnswerType_POS", "data": f"{p['x']},{p['y']}"} for i, p in enumerate(points)],
+            }
+            with open(LABEL_FILE, "a", encoding="utf-8") as f:
+                f.write(json.dumps(record, ensure_ascii=False) + "\n")
+
+            logger.info("✓ 成功保存样本标注: %s -> %s", sample_id, points)
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.end_headers()
+            self.wfile.write(b'{"status":"ok"}')
+            return
+
+        self.send_response(404)
+        self.end_headers()
+
+
+def main():
+    parser = argparse.ArgumentParser(description="腾讯点选验证码轻量 Web 打标工具")
+    parser.add_argument("--port", type=int, default=8765, help="本地服务端口 (默认: 8765)")
+    args = parser.parse_args()
+
+    server = ThreadingHTTPServer(("127.0.0.1", args.port), LabelHandler)
+    logger.info("🚀 打标工作台已启动: http://127.0.0.1:%d", args.port)
+    logger.info("在浏览器打开上述地址即可开始打标，按 Ctrl+C 停止")
+    try:
+        server.serve_forever()
+    except KeyboardInterrupt:
+        logger.info("打标服务已停止")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/uv.lock b/uv.lock
index 72e201d..8b921bc 100644
--- a/uv.lock
+++ b/uv.lock
@@ -39,12 +39,14 @@ version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
     { name = "httpx" },
+    { name = "numpy" },
     { name = "pillow" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "httpx", specifier = ">=0.28.1" },
+    { name = "numpy", specifier = ">=2.5.3" },
     { name = "pillow", specifier = ">=12.3.0" },
 ]
 
@@ -85,6 +87,79 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/57/b0/0e52c878c53f245edd3a11020f20979b3f490f245af532c7cae3027754b5/idna-3.19-py3-none-any.whl", hash = "sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4", size = 68550, upload-time = "2026-08-18T05:14:22.343Z" },
 ]
 
+[[package]]
+name = "numpy"
+version = "2.5.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/13/01/11703282db468b85f6f7b8c7f22d058de5970d5c7e60a3a8aaa313c3de36/numpy-2.5.3.tar.gz", hash = "sha256:df2d5874ff183595a4ba404edd04f6bd9b5505c1d7708573f6a6c17489a67563", size = 20791231, upload-time = "2026-09-06T16:27:47.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d6/50/8fdbb16af64895706a45f06a4068e29db732ec180f3c1375f14123359138/numpy-2.5.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cb189f09db39283b26bfd061ec16189e14f71c6755207f72a0f7540867afe5b9", size = 16994982, upload-time = "2026-09-06T16:24:29.244Z" },
+    { url = "https://files.pythonhosted.org/packages/60/39/789131c1188c078dcb3a1692e72e1e050c68b88ffe72c9ccaac9bcd7a9cd/numpy-2.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f59a878c33d6b88122d80d239bb3b845d58708750b0cb06a09aebb9b18ec696c", size = 12009327, upload-time = "2026-09-06T16:24:32.491Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/59/a312e95696e5f601914dd8b6dd844692ba61670807417e24b68e337b5c70/numpy-2.5.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:a72f874bc9e10e4b8f80426fb49716d5141f64442a0c8418065093ec8017fbb0", size = 5445405, upload-time = "2026-09-06T16:24:35.071Z" },
+    { url = "https://files.pythonhosted.org/packages/30/d0/5623a1707ed4fe16e3909fe3cf5ee3da004ae677ad23d83bbf3adf1a6faf/numpy-2.5.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:fc36dc566135b5eceec4cf89758fcb719266a019ef07dae1754ae7c9f617ef3e", size = 6783213, upload-time = "2026-09-06T16:24:37.253Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/32/84146fc020ad3c25f805f70ab60da46fe3c540a21369754a7e4369754b6f/numpy-2.5.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:76c2c1e6bfa5c84adc6434dfbf013aa92096a7985221762c8f11fedfd20fff58", size = 15687872, upload-time = "2026-09-06T16:24:39.751Z" },
+    { url = "https://files.pythonhosted.org/packages/65/af/aa78d1a88805456e212b65461354cd943197fb9acecc4c90fd12295123a3/numpy-2.5.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7e18c623bb5c95acb3b3328861272816ba199fb531921c5d6d0b675f1fde9e3", size = 16717410, upload-time = "2026-09-06T16:24:42.745Z" },
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