diff --git a/.memory/status.md b/.memory/status.md
index 24404c0..26538c0 100644
--- a/.memory/status.md
+++ b/.memory/status.md
@@ -43,6 +43,7 @@
 
 ## 关键文件
 - `api/main.py` — FastAPI 后端、模型路由、任务状态、ASR/翻译/音频分析、生图、产品识别、首尾帧和视频接口。
+- `api/database.py` — 后端数据库层；当前用 SQLite 保存 document / job / media asset 元数据，媒体文件仍在 `jobs/<jobId>/`。
 - `api/.env.example` — 本地模型和网关模板；已包含 `GPT_TEXT_MODEL=gpt-4o`。
 - `deploy/.env.production.example` — 生产环境模板；视频默认 SKG Doubao / Seedance 网关。
 - `RULES.md` — 启动、部署事实、模型环境变量和项目规则。
@@ -54,6 +55,7 @@
 ## 主要 API
 ```
 GET  /health
+GET  /documents
 POST /jobs
 POST /jobs/upload
 GET  /jobs
@@ -89,10 +91,12 @@ POST /jobs/{id}/frames/{idx}/storyboard/video
 6. 当前主流程不直接批量提交视频；先走“分镜规划 → 首尾帧 → 人工审核”。
 7. 产品素材池默认是“同一产品”，不做不同产品身份判断；视角识别必须按佩戴者左 / 右、上 / 下、内 / 外侧描述。
 8. 自动抽帧默认是 `frames=6` + `target=random_subject` + `quality=accurate` + `mode=replace`；如果需要特定动作或表情，用“当前点抽帧”手动补。
-8. 后端长任务不要用 `--reload`。
-9. 关键帧 `index` 是稳定 ID，不等于数组下标；前端取帧用 `frames.find(x => x.index === idx)`。
+9. 文档是顶层业务归类：每个 TK 链接或上传视频默认一个 `document`，`job` 归属到 `document_id`；DB 存元数据和文件索引，视频 / 图片 / 音频文件不进 DB。
+10. 后端长任务不要用 `--reload`。
+11. 关键帧 `index` 是稳定 ID，不等于数组下标；前端取帧用 `frames.find(x => x.index === idx)`。
 
 ## 最近变更
+- 2026-05-18：新增后端数据库层，SQLite 默认落在 `APP_DB_URL` / `DATABASE_URL` 或 `JOBS_DIR/app.db`；`/documents` 返回文档归类列表，`/health.database` 返回 DB 状态。
 - 2026-05-18：`VISION_MODEL`、`REWRITE_MODEL`、`AUDIO_REWRITE_MODEL` 切到 GPT 默认模型 `gpt-4o`，并加旧 Gemini 环境变量归一化保护。
 - 2026-05-18：语音通道固定 Azure OpenAI TTS，移除 MiniMax fallback，并按 `AZURE_TTS_PATHS` 尝试语音路径。
 - 2026-05-18：当前主路径暂停直接提交视频，改为逐条首尾帧闸门。
diff --git a/RULES.md b/RULES.md
index 3cbed56..3b5218e 100644
--- a/RULES.md
+++ b/RULES.md
@@ -24,7 +24,7 @@
 - 服务器目录：`/opt/skg-marketing-studio`
 - 生产启动：`docker compose -f docker-compose.prod.yml --env-file deploy/.env.production up -d --build`
 - 生产架构：`web` 容器用 Nginx 承载 Next 静态导出；`/login/`、`/_next/`、`/assets/`、`/skg-logo-black.svg`、`/oasis-source/` 等登录页必需静态资源公开访问；未登录访问工作台跳转 `/login/`，`/api/` 通过 Nginx `auth_request` 校验 FastAPI 会话 Cookie 后反代到 `skg-marketing-api:4291`；Traefik 通过 `coolify` 外部网络接入 80/443
-- 持久化目录：服务器 `./data/jobs` 挂载到后端 `/data/jobs`
+- 持久化目录：服务器 `./data/jobs` 挂载到后端 `/data/jobs`；默认后端数据库为 `APP_DB_URL=sqlite:////data/jobs/app.db`，只存文档 / job / 媒体资产元数据和文件索引，原视频、音频、抽帧、生图、视频候选仍放在 `/data/jobs/<jobId>/`
 - 登录凭证：用户名写下方快捷登录；密码明文备份只放服务器 `/root/skg-marketing-studio-login.txt`，生产环境变量 `WEB_AUTH_PASSWORD` / `WEB_AUTH_SESSION_SECRET` 只放服务器 `deploy/.env.production`
 
 ## 快捷登录
@@ -70,6 +70,7 @@
 - `AZURE_TTS_MODEL` / `AZURE_TTS_VOICE_ID` / `AZURE_TTS_VOICE_POOL` / `AZURE_TTS_PATH` / `AZURE_TTS_PATHS`：Azure OpenAI TTS 模型、默认音色、音色池和 OpenAI 协议语音路径；后端会按 `AZURE_TTS_PATHS` 依次尝试，便于区分路径不对和整条语音服务不可用
 - MiniMax TTS 不再作为语音 fallback；不要新增或依赖 `MINIMAX_*` 配置
 - `POE_API_KEY` / `VIDEO_API_KEY`：视频生成通道 Key，只能放本地环境变量
+- `APP_DB_URL` / `DATABASE_URL`：后端元数据数据库；当前内置实现支持 `sqlite:///`，生产默认 `sqlite:////data/jobs/app.db`。文档归类以 `documents` 为顶层，一条 TK 链接或一次上传默认一个 document，`jobs` 和 `media_assets` 归属到 `document_id`。
 - `WEB_AUTH_USERNAME` / `WEB_AUTH_PASSWORD` / `WEB_AUTH_SESSION_SECRET`：生产网页登录和会话签名配置；密码和 session secret 只放服务器环境变量，不入库
 - `FFMPEG_BIN` / `FFPROBE_BIN`：可选本地媒体二进制路径；本机 Homebrew ffmpeg 动态库损坏时，后端会自动跳过不可用的 PATH 版本并尝试本机静态 ffmpeg 备选，生产仍建议使用系统 ffmpeg/ffprobe
 - 生产环境变量：服务器只使用 `deploy/.env.production`，模板为 `deploy/.env.production.example`；真实 Key 不入库
diff --git a/api/.env.example b/api/.env.example
index e75aef9..7b0990e 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -77,6 +77,7 @@ VIDEO_DURATION_FIELD=seconds
 VIDEO_POLL_TIMEOUT_SECONDS=900
 
 # 工作目录
+APP_DB_URL=sqlite:///./jobs/app.db
 KEYFRAME_COUNT=6
 JOBS_DIR=./jobs
 
diff --git a/api/database.py b/api/database.py
new file mode 100644
index 0000000..8a49601
--- /dev/null
+++ b/api/database.py
@@ -0,0 +1,536 @@
+from __future__ import annotations
+
+import json
+import os
+import sqlite3
+import time
+from pathlib import Path
+from typing import Any
+
+
+SCHEMA_VERSION = 1
+
+
+def default_database_url(jobs_dir: Path) -> str:
+    return os.getenv("APP_DB_URL") or os.getenv("DATABASE_URL") or f"sqlite:///{jobs_dir / 'app.db'}"
+
+
+def redact_database_url(url: str) -> str:
+    if "://" not in url or "@" not in url:
+        return url
+    scheme, rest = url.split("://", 1)
+    _, host = rest.rsplit("@", 1)
+    return f"{scheme}://***@{host}"
+
+
+def infer_source_kind(url: str) -> str:
+    if url.startswith("upload://"):
+        return "upload"
+    if url.startswith("http://") or url.startswith("https://"):
+        return "tiktok_link"
+    return "unknown"
+
+
+def default_workflow_mode(source_kind: str) -> str:
+    if source_kind == "upload":
+        return "uploaded_reference"
+    return "feed_recreation"
+
+
+def document_title(url: str, source_kind: str, fallback: str) -> str:
+    if source_kind == "upload":
+        return url.replace("upload://", "", 1).strip() or fallback
+    if url:
+        return url.strip()[:120]
+    return fallback
+
+
+def storage_prefix(document_id: str, source_kind: str, workflow_mode: str) -> str:
+    source = source_kind or "unknown"
+    mode = workflow_mode or default_workflow_mode(source)
+    return f"{mode}/{source}/{document_id}"
+
+
+class AppDatabase:
+    def __init__(self, url: str, jobs_dir: Path):
+        self.url = url
+        self.jobs_dir = jobs_dir
+        self.path = self._sqlite_path(url)
+        self.enabled = True
+        self.error = ""
+
+    @staticmethod
+    def _sqlite_path(url: str) -> Path:
+        if url == ":memory:":
+            return Path(":memory:")
+        if not url.startswith("sqlite:///"):
+            raise RuntimeError("当前内置数据库层只支持 sqlite:/// URL；Postgres 迁移会复用同一张表语义。")
+        raw = url[len("sqlite:///"):]
+        return Path(raw).expanduser().resolve()
+
+    def connect(self) -> sqlite3.Connection:
+        if str(self.path) != ":memory:":
+            self.path.parent.mkdir(parents=True, exist_ok=True)
+        conn = sqlite3.connect(str(self.path))
+        conn.row_factory = sqlite3.Row
+        conn.execute("PRAGMA foreign_keys = ON")
+        return conn
+
+    def init(self) -> None:
+        with self.connect() as conn:
+            conn.executescript(
+                """
+                CREATE TABLE IF NOT EXISTS schema_meta (
+                  key TEXT PRIMARY KEY,
+                  value TEXT NOT NULL
+                );
+
+                CREATE TABLE IF NOT EXISTS documents (
+                  id TEXT PRIMARY KEY,
+                  title TEXT NOT NULL,
+                  source_kind TEXT NOT NULL,
+                  workflow_mode TEXT NOT NULL,
+                  source_url TEXT NOT NULL DEFAULT '',
+                  primary_job_id TEXT NOT NULL DEFAULT '',
+                  status TEXT NOT NULL DEFAULT 'created',
+                  storage_prefix TEXT NOT NULL,
+                  metadata_json TEXT NOT NULL DEFAULT '{}',
+                  created_at REAL NOT NULL,
+                  updated_at REAL NOT NULL
+                );
+
+                CREATE TABLE IF NOT EXISTS jobs (
+                  id TEXT PRIMARY KEY,
+                  document_id TEXT NOT NULL,
+                  source_kind TEXT NOT NULL,
+                  workflow_mode TEXT NOT NULL,
+                  source_url TEXT NOT NULL DEFAULT '',
+                  status TEXT NOT NULL,
+                  progress INTEGER NOT NULL DEFAULT 0,
+                  message TEXT NOT NULL DEFAULT '',
+                  storage_path TEXT NOT NULL,
+                  state_path TEXT NOT NULL,
+                  video_url TEXT NOT NULL DEFAULT '',
+                  duration REAL NOT NULL DEFAULT 0,
+                  width INTEGER NOT NULL DEFAULT 0,
+                  height INTEGER NOT NULL DEFAULT 0,
+                  frame_count INTEGER NOT NULL DEFAULT 0,
+                  video_count INTEGER NOT NULL DEFAULT 0,
+                  error TEXT NOT NULL DEFAULT '',
+                  metadata_json TEXT NOT NULL DEFAULT '{}',
+                  created_at REAL NOT NULL,
+                  updated_at REAL NOT NULL,
+                  FOREIGN KEY(document_id) REFERENCES documents(id) ON DELETE CASCADE
+                );
+
+                CREATE TABLE IF NOT EXISTS media_assets (
+                  id TEXT PRIMARY KEY,
+                  document_id TEXT NOT NULL,
+                  job_id TEXT NOT NULL,
+                  kind TEXT NOT NULL,
+                  role TEXT NOT NULL,
+                  path TEXT NOT NULL DEFAULT '',
+                  url TEXT NOT NULL DEFAULT '',
+                  frame_index INTEGER,
+                  timestamp REAL,
+                  width INTEGER NOT NULL DEFAULT 0,
+                  height INTEGER NOT NULL DEFAULT 0,
+                  duration REAL NOT NULL DEFAULT 0,
+                  metadata_json TEXT NOT NULL DEFAULT '{}',
+                  created_at REAL NOT NULL,
+                  updated_at REAL NOT NULL,
+                  FOREIGN KEY(document_id) REFERENCES documents(id) ON DELETE CASCADE,
+                  FOREIGN KEY(job_id) REFERENCES jobs(id) ON DELETE CASCADE
+                );
+
+                CREATE INDEX IF NOT EXISTS idx_documents_updated_at ON documents(updated_at DESC);
+                CREATE INDEX IF NOT EXISTS idx_documents_source_kind ON documents(source_kind);
+                CREATE INDEX IF NOT EXISTS idx_documents_workflow_mode ON documents(workflow_mode);
+                CREATE INDEX IF NOT EXISTS idx_jobs_document_id ON jobs(document_id);
+                CREATE INDEX IF NOT EXISTS idx_jobs_updated_at ON jobs(updated_at DESC);
+                CREATE INDEX IF NOT EXISTS idx_assets_document_id ON media_assets(document_id);
+                CREATE INDEX IF NOT EXISTS idx_assets_job_id ON media_assets(job_id);
+                CREATE INDEX IF NOT EXISTS idx_assets_role ON media_assets(role);
+                """
+            )
+            conn.execute(
+                "INSERT OR REPLACE INTO schema_meta(key, value) VALUES('schema_version', ?)",
+                (str(SCHEMA_VERSION),),
+            )
+
+    def normalize_job_document(self, job: dict[str, Any]) -> dict[str, Any]:
+        job_id = str(job.get("id") or "")
+        source_url = str(job.get("url") or "")
+        source_kind = str(job.get("source_kind") or "") or infer_source_kind(source_url)
+        workflow_mode = str(job.get("workflow_mode") or "") or default_workflow_mode(source_kind)
+        document_id = str(job.get("document_id") or "") or job_id
+        prefix = str(job.get("storage_prefix") or "") or storage_prefix(document_id, source_kind, workflow_mode)
+        return {
+            "document_id": document_id,
+            "source_kind": source_kind,
+            "workflow_mode": workflow_mode,
+            "storage_prefix": prefix,
+            "title": document_title(source_url, source_kind, document_id),
+        }
+
+    def sync_job(self, job: dict[str, Any], job_path: Path) -> None:
+        if not self.enabled:
+            return
+        now = time.time()
+        job_id = str(job.get("id") or "")
+        if not job_id:
+            return
+        doc = self.normalize_job_document(job)
+        state_path = job_path / "state.json"
+        frames = list(job.get("frames") or [])
+        generated_videos = list(job.get("generated_videos") or [])
+        metadata = {
+            "audio_segment_count": len(job.get("transcript") or []),
+            "product_ref_count": len(job.get("product_refs") or []),
+            "storyboard_image_count": len(job.get("storyboard_images") or []),
+        }
+        with self.connect() as conn:
+            existing = conn.execute(
+                "SELECT created_at FROM documents WHERE id = ?",
+                (doc["document_id"],),
+            ).fetchone()
+            created_at = float(existing["created_at"]) if existing else now
+            conn.execute(
+                """
+                INSERT INTO documents(
+                  id, title, source_kind, workflow_mode, source_url, primary_job_id,
+                  status, storage_prefix, metadata_json, created_at, updated_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(id) DO UPDATE SET
+                  title = excluded.title,
+                  source_kind = excluded.source_kind,
+                  workflow_mode = excluded.workflow_mode,
+                  source_url = excluded.source_url,
+                  primary_job_id = excluded.primary_job_id,
+                  status = excluded.status,
+                  storage_prefix = excluded.storage_prefix,
+                  metadata_json = excluded.metadata_json,
+                  updated_at = excluded.updated_at
+                """,
+                (
+                    doc["document_id"],
+                    doc["title"],
+                    doc["source_kind"],
+                    doc["workflow_mode"],
+                    str(job.get("url") or ""),
+                    job_id,
+                    str(job.get("status") or "created"),
+                    doc["storage_prefix"],
+                    json.dumps(metadata, ensure_ascii=False),
+                    created_at,
+                    now,
+                ),
+            )
+            existing_job = conn.execute("SELECT created_at FROM jobs WHERE id = ?", (job_id,)).fetchone()
+            job_created_at = float(existing_job["created_at"]) if existing_job else now
+            conn.execute(
+                """
+                INSERT INTO jobs(
+                  id, document_id, source_kind, workflow_mode, source_url, status,
+                  progress, message, storage_path, state_path, video_url, duration,
+                  width, height, frame_count, video_count, error, metadata_json,
+                  created_at, updated_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(id) DO UPDATE SET
+                  document_id = excluded.document_id,
+                  source_kind = excluded.source_kind,
+                  workflow_mode = excluded.workflow_mode,
+                  source_url = excluded.source_url,
+                  status = excluded.status,
+                  progress = excluded.progress,
+                  message = excluded.message,
+                  storage_path = excluded.storage_path,
+                  state_path = excluded.state_path,
+                  video_url = excluded.video_url,
+                  duration = excluded.duration,
+                  width = excluded.width,
+                  height = excluded.height,
+                  frame_count = excluded.frame_count,
+                  video_count = excluded.video_count,
+                  error = excluded.error,
+                  metadata_json = excluded.metadata_json,
+                  updated_at = excluded.updated_at
+                """,
+                (
+                    job_id,
+                    doc["document_id"],
+                    doc["source_kind"],
+                    doc["workflow_mode"],
+                    str(job.get("url") or ""),
+                    str(job.get("status") or "created"),
+                    int(job.get("progress") or 0),
+                    str(job.get("message") or ""),
+                    str(job_path),
+                    str(state_path),
+                    str(job.get("video_url") or ""),
+                    float(job.get("duration") or 0),
+                    int(job.get("width") or 0),
+                    int(job.get("height") or 0),
+                    len(frames),
+                    len(generated_videos),
+                    str(job.get("error") or ""),
+                    json.dumps(metadata, ensure_ascii=False),
+                    job_created_at,
+                    now,
+                ),
+            )
+            conn.execute("DELETE FROM media_assets WHERE job_id = ?", (job_id,))
+            for asset in self._job_assets(job, job_path, doc["document_id"]):
+                conn.execute(
+                    """
+                    INSERT INTO media_assets(
+                      id, document_id, job_id, kind, role, path, url, frame_index,
+                      timestamp, width, height, duration, metadata_json, created_at, updated_at
+                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                    """,
+                    (
+                        asset["id"],
+                        asset["document_id"],
+                        asset["job_id"],
+                        asset["kind"],
+                        asset["role"],
+                        asset.get("path", ""),
+                        asset.get("url", ""),
+                        asset.get("frame_index"),
+                        asset.get("timestamp"),
+                        int(asset.get("width") or 0),
+                        int(asset.get("height") or 0),
+                        float(asset.get("duration") or 0),
+                        json.dumps(asset.get("metadata") or {}, ensure_ascii=False),
+                        now,
+                        now,
+                    ),
+                )
+
+    def _job_assets(self, job: dict[str, Any], job_path: Path, document_id: str) -> list[dict[str, Any]]:
+        job_id = str(job.get("id") or "")
+        items: list[dict[str, Any]] = []
+
+        def add(
+            asset_id: str,
+            kind: str,
+            role: str,
+            path: Path | str = "",
+            url: str = "",
+            frame_index: int | None = None,
+            timestamp: float | None = None,
+            width: int = 0,
+            height: int = 0,
+            duration: float = 0.0,
+            metadata: dict[str, Any] | None = None,
+        ) -> None:
+            items.append({
+                "id": asset_id,
+                "document_id": document_id,
+                "job_id": job_id,
+                "kind": kind,
+                "role": role,
+                "path": str(path) if path else "",
+                "url": url,
+                "frame_index": frame_index,
+                "timestamp": timestamp,
+                "width": width,
+                "height": height,
+                "duration": duration,
+                "metadata": metadata or {},
+            })
+
+        if (job_path / "source.mp4").exists() or job.get("video_url"):
+            add(
+                f"{job_id}:source_video",
+                "video",
+                "source_video",
+                job_path / "source.mp4",
+                str(job.get("video_url") or f"/jobs/{job_id}/video.mp4"),
+                duration=float(job.get("duration") or 0),
+                width=int(job.get("width") or 0),
+                height=int(job.get("height") or 0),
+            )
+        if (job_path / "audio.wav").exists() or job.get("source_audio_url"):
+            add(
+                f"{job_id}:source_audio",
+                "audio",
+                "source_audio",
+                job_path / "audio.wav",
+                str(job.get("source_audio_url") or f"/jobs/{job_id}/audio.wav"),
+                duration=float(job.get("duration") or 0),
+            )
+
+        for frame in job.get("frames") or []:
+            idx = int(frame.get("index") or 0)
+            add(
+                f"{job_id}:frame:{idx}",
+                "image",
+                "keyframe",
+                job_path / "frames" / f"{idx:03d}.jpg",
+                str(frame.get("url") or f"/jobs/{job_id}/frames/{idx}.jpg"),
+                frame_index=idx,
+                timestamp=float(frame.get("timestamp") or 0),
+                metadata={"quality_report": frame.get("quality_report")},
+            )
+            if frame.get("cleaned_url"):
+                add(
+                    f"{job_id}:frame:{idx}:cleaned",
+                    "image",
+                    "cleaned_keyframe",
+                    job_path / "cleaned" / f"{idx:03d}.jpg",
+                    str(frame.get("cleaned_url")),
+                    frame_index=idx,
+                    timestamp=float(frame.get("timestamp") or 0),
+                )
+            for generated in frame.get("generated_images") or []:
+                gen_id = str(generated.get("id") or "")
+                if gen_id:
+                    add(
+                        f"{job_id}:generated_image:{idx}:{gen_id}",
+                        "image",
+                        "generated_image",
+                        job_path / "gen" / f"{idx:03d}_{gen_id}.jpg",
+                        str(generated.get("url") or ""),
+                        frame_index=idx,
+                        metadata={"model": generated.get("model"), "mode": generated.get("mode")},
+                    )
+            for scene_asset in frame.get("scene_assets") or []:
+                asset_id = str(scene_asset.get("id") or "")
+                if asset_id:
+                    add(
+                        f"{job_id}:scene_asset:{asset_id}",
+                        "image",
+                        str(scene_asset.get("asset_role") or "scene_asset"),
+                        job_path / "assets" / f"{asset_id}.jpg",
+                        str(scene_asset.get("url") or ""),
+                        frame_index=idx,
+                        width=int(scene_asset.get("width") or 0),
+                        height=int(scene_asset.get("height") or 0),
+                        metadata={"label": scene_asset.get("label"), "scene_mode": scene_asset.get("scene_mode")},
+                    )
+            for element in frame.get("elements") or []:
+                element_id = str(element.get("id") or "")
+                cutout_ids = list(element.get("cutouts") or [])
+                legacy_cutout = element.get("cutout_id")
+                if legacy_cutout and legacy_cutout not in cutout_ids:
+                    cutout_ids.append(legacy_cutout)
+                for cutout_id in cutout_ids:
+                    add(
+                        f"{job_id}:cutout:{idx}:{element_id}:{cutout_id}",
+                        "image",
+                        "element_cutout",
+                        job_path / "elements" / f"{idx:03d}_{element_id}_{cutout_id}.jpg",
+                        f"/jobs/{job_id}/frames/{idx}/elements/{element_id}/cutouts/{cutout_id}.jpg",
+                        frame_index=idx,
+                        metadata={"element_id": element_id, "name_zh": element.get("name_zh")},
+                    )
+                for subject_asset in element.get("subject_assets") or []:
+                    asset_id = str(subject_asset.get("id") or "")
+                    if asset_id:
+                        add(
+                            f"{job_id}:subject_asset:{asset_id}",
+                            "image",
+                            "subject_asset",
+                            job_path / "assets" / f"{asset_id}.jpg",
+                            str(subject_asset.get("url") or ""),
+                            frame_index=idx,
+                            width=int(subject_asset.get("width") or 0),
+                            height=int(subject_asset.get("height") or 0),
+                            metadata={"view": subject_asset.get("view"), "label": subject_asset.get("label")},
+                        )
+
+        for ref in job.get("product_refs") or []:
+            asset_id = str(ref.get("id") or ref.get("asset_id") or ref.get("url") or "")
+            if asset_id:
+                add(
+                    f"{job_id}:product_ref:{asset_id}",
+                    "image",
+                    "product_ref",
+                    self._path_from_job_url(job_path, job_id, str(ref.get("url") or "")),
+                    str(ref.get("url") or ""),
+                    metadata=ref,
+                )
+
+        for video in job.get("generated_videos") or []:
+            video_id = str(video.get("id") or "")
+            if video_id:
+                add(
+                    f"{job_id}:generated_video:{video_id}",
+                    "video",
+                    "generated_video",
+                    job_path / "videos" / f"{video_id}.mp4",
+                    str(video.get("url") or ""),
+                    frame_index=video.get("frame_idx"),
+                    duration=float(video.get("duration") or 0),
+                    metadata={"status": video.get("status"), "model": video.get("model"), "error": video.get("error")},
+                )
+        return items
+
+    def _path_from_job_url(self, job_path: Path, job_id: str, url: str) -> str:
+        prefix = f"/jobs/{job_id}/"
+        if not url.startswith(prefix):
+            return ""
+        tail = url[len(prefix):]
+        if tail == "video.mp4":
+            return str(job_path / "source.mp4")
+        return str(job_path / tail)
+
+    def delete_job(self, job_id: str) -> None:
+        if not self.enabled:
+            return
+        with self.connect() as conn:
+            row = conn.execute("SELECT document_id FROM jobs WHERE id = ?", (job_id,)).fetchone()
+            conn.execute("DELETE FROM jobs WHERE id = ?", (job_id,))
+            if row:
+                remaining = conn.execute(
+                    "SELECT COUNT(*) AS c FROM jobs WHERE document_id = ?",
+                    (row["document_id"],),
+                ).fetchone()
+                if int(remaining["c"] or 0) == 0:
+                    conn.execute("DELETE FROM documents WHERE id = ?", (row["document_id"],))
+
+    def list_documents(self, limit: int | None = None) -> list[dict[str, Any]]:
+        sql = """
+            SELECT
+              d.*,
+              COUNT(DISTINCT j.id) AS job_count,
+              COUNT(DISTINCT a.id) AS asset_count
+            FROM documents d
+            LEFT JOIN jobs j ON j.document_id = d.id
+            LEFT JOIN media_assets a ON a.document_id = d.id
+            GROUP BY d.id
+            ORDER BY d.updated_at DESC
+        """
+        params: tuple[Any, ...] = ()
+        if limit is not None and limit > 0:
+            sql += " LIMIT ?"
+            params = (limit,)
+        with self.connect() as conn:
+            rows = conn.execute(sql, params).fetchall()
+        return [dict(row) for row in rows]
+
+    def health(self) -> dict[str, Any]:
+        if not self.enabled:
+            return {"enabled": False, "url": redact_database_url(self.url), "error": self.error}
+        try:
+            with self.connect() as conn:
+                docs = conn.execute("SELECT COUNT(*) AS c FROM documents").fetchone()["c"]
+                jobs = conn.execute("SELECT COUNT(*) AS c FROM jobs").fetchone()["c"]
+                assets = conn.execute("SELECT COUNT(*) AS c FROM media_assets").fetchone()["c"]
+            return {
+                "enabled": True,
+                "url": redact_database_url(self.url),
+                "schema_version": SCHEMA_VERSION,
+                "documents": int(docs or 0),
+                "jobs": int(jobs or 0),
+                "assets": int(assets or 0),
+            }
+        except Exception as e:
+            return {"enabled": False, "url": redact_database_url(self.url), "error": str(e)}
+
+
+def create_database(url: str, jobs_dir: Path) -> AppDatabase:
+    db = AppDatabase(url, jobs_dir)
+    db.init()
+    return db
diff --git a/api/main.py b/api/main.py
index f44e71e..ff454f3 100644
--- a/api/main.py
+++ b/api/main.py
@@ -25,10 +25,19 @@ from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import FileResponse
 from pydantic import BaseModel, Field
 
+from database import create_database, default_database_url, default_workflow_mode, infer_source_kind, storage_prefix
+
 load_dotenv()
 
 JOBS_DIR = Path(os.getenv("JOBS_DIR", "./jobs")).resolve()
 JOBS_DIR.mkdir(parents=True, exist_ok=True)
+DATABASE_URL = default_database_url(JOBS_DIR)
+DB_INIT_ERROR = ""
+try:
+    DB = create_database(DATABASE_URL, JOBS_DIR)
+except Exception as e:
+    DB = None
+    DB_INIT_ERROR = str(e)
 CORS_ORIGINS = [o.strip() for o in os.getenv("CORS_ORIGINS", "http://localhost:4290,http://127.0.0.1:4290").split(",") if o.strip()]
 PRODUCT_LIBRARY_DIR = Path(
     os.getenv("PRODUCT_LIBRARY_DIR", Path(__file__).resolve().parent / "product_library" / "skg-products")
@@ -542,6 +551,10 @@ class AudioScript(BaseModel):
 class Job(BaseModel):
     id: str
     url: str
+    document_id: str = ""
+    source_kind: Literal["tiktok_link", "upload", "unknown"] = "unknown"
+    workflow_mode: Literal["feed_recreation", "uploaded_reference"] = "feed_recreation"
+    storage_prefix: str = ""
     status: JobStatus = "created"
     progress: int = 0
     message: str = ""
@@ -641,8 +654,26 @@ def job_with_artifacts(job: Job) -> Job:
     return job.model_copy(update=updates)
 
 
+def ensure_job_document_fields(job: Job) -> Job:
+    source_kind = job.source_kind if job.source_kind != "unknown" else infer_source_kind(job.url)
+    workflow_mode = job.workflow_mode or default_workflow_mode(source_kind)
+    document_id = job.document_id or job.id
+    job.source_kind = source_kind if source_kind in {"tiktok_link", "upload"} else "unknown"
+    job.workflow_mode = workflow_mode if workflow_mode in {"feed_recreation", "uploaded_reference"} else "feed_recreation"
+    job.document_id = document_id
+    job.storage_prefix = job.storage_prefix or storage_prefix(document_id, job.source_kind, job.workflow_mode)
+    return job
+
+
 def save_state(job: Job) -> None:
-    (job_dir(job.id) / "state.json").write_text(job.model_dump_json(indent=2))
+    ensure_job_document_fields(job)
+    d = job_dir(job.id)
+    (d / "state.json").write_text(job.model_dump_json(indent=2))
+    if DB:
+        try:
+            DB.sync_job(job.model_dump(mode="json"), d)
+        except Exception as e:
+            print(f"[database sync failed] job={job.id} error={e}", flush=True)
 
 
 def update(job: Job, **kw) -> None:
@@ -3024,6 +3055,7 @@ def health() -> dict:
         "base_url": LLM_BASE_URL or "openai-default",
         "image_base_url": IMAGE_BASE_URL or LLM_BASE_URL or "openai-default",
         "voice_base_url": AZURE_OPENAI_BASE_URL,
+        "database": DB.health() if DB else {"enabled": False, "url": DATABASE_URL, "error": DB_INIT_ERROR},
         "models": {
             "asr": ASR_MODEL,
             "local_asr": LOCAL_ASR_MODEL,
@@ -3059,6 +3091,9 @@ def health() -> dict:
 
 class JobSummary(BaseModel):
     id: str
+    document_id: str = ""
+    source_kind: str = "unknown"
+    workflow_mode: str = "feed_recreation"
     url: str
     status: JobStatus
     progress: int = 0
@@ -3074,6 +3109,29 @@ class JobSummary(BaseModel):
     mtime: float = 0.0
 
 
+class DocumentSummary(BaseModel):
+    id: str
+    title: str
+    source_kind: str
+    workflow_mode: str
+    source_url: str = ""
+    primary_job_id: str = ""
+    status: str = "created"
+    storage_prefix: str = ""
+    job_count: int = 0
+    asset_count: int = 0
+    created_at: float = 0.0
+    updated_at: float = 0.0
+
+
+@app.get("/documents", response_model=list[DocumentSummary])
+def list_documents(limit: int | None = None) -> list[DocumentSummary]:
+    if not DB:
+        return []
+    rows = DB.list_documents(limit)
+    return [DocumentSummary(**row) for row in rows]
+
+
 @app.get("/jobs", response_model=list[JobSummary])
 def list_jobs(limit: int | None = None) -> list[JobSummary]:
     """所有 job 的精简列表，按磁盘 state.json mtime 倒序（最新优先）。前端无 ?job= 时用它回填历史。"""
@@ -3082,8 +3140,12 @@ def list_jobs(limit: int | None = None) -> list[JobSummary]:
         state_path = JOBS_DIR / job_id / "state.json"
         mtime = state_path.stat().st_mtime if state_path.exists() else 0.0
         thumb = f"/jobs/{job_id}/frames/{job.frames[0].index}.jpg" if job.frames else ""
+        ensure_job_document_fields(job)
         items.append(JobSummary(
             id=job.id,
+            document_id=job.document_id,
+            source_kind=job.source_kind,
+            workflow_mode=job.workflow_mode,
             url=job.url,
             status=job.status,
             progress=job.progress,
@@ -3109,7 +3171,7 @@ async def create_job(req: CreateJobReq, bg: BackgroundTasks) -> Job:
     if not req.url.strip():
         raise HTTPException(400, "url required")
     job_id = uuid.uuid4().hex[:12]
-    job = Job(id=job_id, url=req.url.strip())
+    job = Job(id=job_id, url=req.url.strip(), document_id=job_id, source_kind="tiktok_link", workflow_mode="feed_recreation")
     JOBS[job_id] = job
     save_state(job)
     bg.add_task(pipeline_download, job_id)
@@ -3133,7 +3195,7 @@ async def create_job_from_upload(bg: BackgroundTasks, file: UploadFile = File(..
     if not mp4.exists() or mp4.stat().st_size == 0:
         raise HTTPException(500, "upload failed")
 
-    job = Job(id=job_id, url=f"upload://{file.filename}")
+    job = Job(id=job_id, url=f"upload://{file.filename}", document_id=job_id, source_kind="upload", workflow_mode="uploaded_reference")
     JOBS[job_id] = job
     save_state(job)
     bg.add_task(pipeline_download, job_id)
@@ -3223,6 +3285,11 @@ def delete_job(job_id: str) -> dict[str, bool | str]:
     job = JOBS.pop(job_id, None)
     if not job and not d.exists():
         raise HTTPException(404, "job not found")
+    if DB:
+        try:
+            DB.delete_job(job_id)
+        except Exception as e:
+            print(f"[database delete failed] job={job_id} error={e}", flush=True)
     if d.exists():
         shutil.rmtree(d)
     return {"ok": True, "id": job_id}
diff --git a/deploy/.env.production.example b/deploy/.env.production.example
index 4f3f47f..3cd1f02 100644
--- a/deploy/.env.production.example
+++ b/deploy/.env.production.example
@@ -3,6 +3,7 @@
 
 # Runtime
 JOBS_DIR=/data/jobs
+APP_DB_URL=sqlite:////data/jobs/app.db
 KEYFRAME_COUNT=6
 CORS_ORIGINS=https://marketing.skg.com
 API_PORT=4291