LRriver · LRriver · Jul 8, 2026 · Jun 29, 2026 · Jul 7, 2026 · Jul 7, 2026
diff --git a/.gitignore b/.gitignore
@@ -21,6 +21,7 @@ node_modules/
 output/
 test_output/
 .playwright-cli/
+.vite/
 temp_buid_note/
 
 # 生成的文件

diff --git a/README.md b/README.md
@@ -19,6 +19,7 @@ NotebookLM's PPT feature is closer to a one-click result generator, with limited
 - **Model control**: Configure separate OpenAI-compatible models for text planning, image generation, and image editing
 - **Local-first config**: Manage model connections through local `config.yaml` or WebUI local API configuration; saved projects and exported files do not include API keys
 - **Export-ready output**: Export generated decks to PDF/PPTX for presentation or further editing
+- **Experimental high-fidelity editable PPTX export**: Rebuild slide images into editable PowerPoint text boxes, conservative native shapes, and positioned bitmap assets through a provider-gated generative editable export path
 
 ## ✨ Features
 
@@ -29,6 +30,7 @@ NotebookLM's PPT feature is closer to a one-click result generator, with limited
 - 🔀 **Three model roles**: Configure `prompt_model`, `image_model`, and `edit_model` separately
 - 🖼️ **Image result compatibility**: Accepts URLs, Markdown image links, data URLs, `b64_json`, and raw base64
 - 💾 **Local multi-project persistence**: Save multiple PPT projects in the browser, including source content, outline, page designs, generated images, and per-slide edit history
+- 📤 **Editable PPTX reconstruction**: Export a separate experimental high-fidelity editable PPTX mode after provider verification; see [Generative Editable PPTX Export](docs/generative-editable-pptx.md)
 
 ## 🚀 Quick Start
 
@@ -102,6 +104,8 @@ Notes:
 6. **Preview & Edit**: Preview generated slides in the right panel and edit a single page when needed
 7. **Export**: Export to PDF or PPTX
 
+The export menu keeps the existing raster PPTX option and adds a separate experimental high-fidelity editable PPTX option. The editable mode uses OCR plus image editing/image generation providers and is quality-gated by default; it fails rather than silently returning a low-fidelity deck unless an explicit fallback policy is requested. Strict live provider verification is still pending for the currently tested provider set. See [Generative Editable PPTX Export](docs/generative-editable-pptx.md).
+
 The built-in demo source is `doc/L9.md`. This is a repository-relative path, so a fresh clone can use it directly in the WebUI or CLI examples.
 
 ## 📁 Project Structure
@@ -123,28 +127,30 @@ OpenNotebookLM-AIPPT/
 
 All configurations are managed in `config.yaml`, including:
 - API configuration (`prompt_model`, `image_model`, `edit_model`)
+- Generative editable PPTX provider roles and quality gates (`ocr_model`, cleanup, asset generation, repair, validation)
 - PPT default settings (language, style, page count)
 - Timeout and retry settings
 
 See `config.example.yaml` for detailed configuration examples.
 
 ### Using OpenAI Compatible API
 
+The current protocol is OpenAI-compatible `/chat/completions`: text profiles use
+chat completions, and image/edit profiles use multimodal chat completions that
+return an image URL, data URL, or base64 payload.
+
 ```yaml
 api:
   models:
     prompt_model:
-      adapter: "openai_chat"
       model: "gpt-4o"
       base_url: "https://api.openai.com/v1"
       api_key: "sk-xxx"
     image_model:
-      adapter: "raw_chat_multimodal"
       model: "gpt-image-2"
       base_url: "https://api.example.com/v1"
       api_key: "sk-xxx"
     edit_model:
-      adapter: "raw_chat_multimodal"
       model: "gpt-image-2"
       base_url: "https://api.example.com/v1"
       api_key: "sk-xxx"
@@ -186,14 +192,20 @@ npm run test
 npm run build
 ```
 
-GitHub Actions runs the same default checks on `main` and `dev` pull requests and pushes. Real model API calls are intentionally not part of the default CI because they require private keys and can be flaky.
+GitHub Actions runs the same default checks on `main` and `dev` pull requests and pushes. Real model API calls and desktop PowerPoint/WPS rendering are intentionally not part of the default CI because they require private keys or host applications that are not available in GitHub runners. CI still validates package-level PPTX structure, object manifests, renderer contracts, and fake-provider reconstruction paths.
 
 ## 📋 TODO
 
 - [ ] Upgrade generated PPT images into structured, editable PPT content
 - [ ] Support region selection for partial slide editing
 - [ ] Add more provider profile templates
 
+## 🙏 Acknowledgements
+
+The editable PPTX reconstruction design references ideas from:
+- [LRriver/slide-alchemy](https://github.com/LRriver/slide-alchemy)
+- [ningzimu/image-to-editable-ppt-skill](https://github.com/ningzimu/image-to-editable-ppt-skill)
+
 ## 📄 License
 
 Apache License 2.0
diff --git a/README_zh.md b/README_zh.md
@@ -19,6 +19,7 @@ NotebookLM 的 PPT 能力更像“一键生成结果”，中间设计过程和
 - **模型可控**：文本规划、生图、图片编辑可分别配置不同 OpenAI-compatible 模型
 - **本地可跑**：可使用本地 `config.yaml` 或 WebUI 本地 API 配置管理模型连接，项目记录和导出文件不包含 API Key
 - **结果可导出**：生成后可直接导出 PDF/PPTX，适合继续汇报或二次编辑
+- **实验性高保真可编辑 PPTX 导出**：通过 provider 门禁的生成式可编辑导出链路，把幻灯片图片重建为 PowerPoint 可编辑文本框、保守原生形状和可移动图片资产
 
 ## ✨ 功能特性
 
@@ -29,6 +30,7 @@ NotebookLM 的 PPT 能力更像“一键生成结果”，中间设计过程和
 - 🔀 **三模型角色**：支持 `prompt_model`、`image_model`、`edit_model` 分别配置
 - 🖼️ **图像结果兼容**：兼容 URL、Markdown 图片链接、data URL、`b64_json` 和纯 base64
 - 💾 **多项目本地留存**：支持在浏览器本地保存多个 PPT 项目，恢复资料、设计大纲、逐页设计、生成图片和单页编辑历史
+- 📤 **可编辑 PPTX 重建**：新增独立的实验性高保真可编辑 PPTX 导出模式，需要通过 provider 验证后使用，详见 [Generative Editable PPTX Export](docs/generative-editable-pptx.md)
 
 ## 🚀 快速开始
 
@@ -102,6 +104,8 @@ AIPPT 会把项目内容和图片资源保存在当前浏览器 Profile 的 Inde
 6. **预览编辑**：在右侧面板预览生成的幻灯片，点击可进行单页编辑
 7. **导出文件**：选择 PDF 或 PPTX 格式导出
 
+导出菜单会保留原有栅格 PPTX 选项，并新增独立的实验性高保真可编辑 PPTX 选项。可编辑模式依赖 OCR、图像编辑和图像生成 provider，默认优先保证质量：验证失败时返回错误，不会悄悄降级为低保真 PPTX，除非请求显式允许 fallback。当前测试过的 provider 组合仍未通过严格 live 验证。详见 [Generative Editable PPTX Export](docs/generative-editable-pptx.md)。
+
 仓库内置演示资料为 `doc/L9.md`。该路径是仓库相对路径，clone 后可直接用于 WebUI 上传或命令行示例。
 
 ## 📁 项目结构
@@ -123,28 +127,30 @@ OpenNotebookLM-AIPPT/
 
 所有配置统一在 `config.yaml` 中管理，包括：
 - API 配置（文本 prompt、生图、编辑三角色模型）
+- 生成式可编辑 PPTX provider 角色和质量门禁（OCR、清理、资产生成、修复、验证）
 - PPT 默认配置（语言、风格、页数）
 - 超时和重试配置
 
 详细配置示例请参考 `config.example.yaml`。
 
 ### 使用 OpenAI 兼容 API
 
+当前调用协议为 OpenAI-compatible `/chat/completions`：文本模型走 chat
+completion，图像/编辑模型走多模态 chat completion，响应需返回图片 URL、data URL
+或 base64。
+
 ```yaml
 api:
   models:
     prompt_model:
-      adapter: "openai_chat"
       model: "gpt-4o"
       base_url: "https://api.openai.com/v1"
       api_key: "sk-xxx"
     image_model:
-      adapter: "raw_chat_multimodal"
       model: "gpt-image-2"
       base_url: "https://api.example.com/v1"
       api_key: "sk-xxx"
     edit_model:
-      adapter: "raw_chat_multimodal"
       model: "gpt-image-2"
       base_url: "https://api.example.com/v1"
       api_key: "sk-xxx"

diff --git a/api/README.md b/api/README.md
@@ -7,7 +7,7 @@ FastAPI 后端服务，为 WebUI 前端提供 PPT 生成、编辑和导出功能
 - **文件上传**: 支持 `.md/.txt/.pdf/.docx/.pptx`，统一解析为 Markdown
 - **PPT 生成**: 基于输入材料生成 PPT 幻灯片，支持流式返回进度
 - **图生图编辑**: 对单页幻灯片进行修改
-- **导出功能**: 支持导出为 PDF 和 PPTX 格式
+- **导出功能**: 支持导出为 PDF、栅格 PPTX 和生成式高保真可编辑 PPTX 格式
 - **模型路由**: 支持 prompt/image/edit 三角色模型 profile
 
 ## API 端点
@@ -44,17 +44,15 @@ Content-Type: application/json
   "content": "Markdown 内容",
   "config": {
     "model_profiles": {
-      "prompt_model": {
+      "text_model": {
         "model": "DeepSeek-V4-Pro",
         "base_url": "https://api.example.com/v1",
-        "api_key": "your-text-key",
-        "adapter": "openai_chat"
+        "api_key": "your-text-key"
       },
       "image_model": {
         "model": "gpt-image-2",
         "base_url": "https://api.example.com/v1",
-        "api_key": "your-image-key",
-        "adapter": "raw_chat_multimodal"
+        "api_key": "your-image-key"
       }
     },
     "page_count": 10,
@@ -81,9 +79,9 @@ Content-Type: application/json
   "instruction": "修改指令",
   "config": {
     "model_profiles": {
-      "prompt_model": {"model": "DeepSeek-V4-Pro", "base_url": "https://api.example.com/v1", "api_key": "key", "adapter": "openai_chat"},
-      "image_model": {"model": "gpt-image-2", "base_url": "https://api.example.com/v1", "api_key": "key", "adapter": "raw_chat_multimodal"},
-      "edit_model": {"model": "gpt-image-2", "base_url": "https://api.example.com/v1", "api_key": "key", "adapter": "raw_chat_multimodal"}
+      "text_model": {"model": "DeepSeek-V4-Pro", "base_url": "https://api.example.com/v1", "api_key": "key"},
+      "image_model": {"model": "gpt-image-2", "base_url": "https://api.example.com/v1", "api_key": "key"},
+      "edit_model": {"model": "gpt-image-2", "base_url": "https://api.example.com/v1", "api_key": "key"}
     },
     "quality": "1K",
     "aspect_ratio": "16:9"
@@ -115,6 +113,51 @@ Content-Type: application/json
 响应: 文件下载
 ```
 
+#### 生成式高保真可编辑 PPTX
+
+该模式与普通 `pptx` 分开：普通 `pptx` 仍是把每页图片作为整页背景放入 PowerPoint；`generative_editable_pptx` 会通过 OCR、图片清理、前景资产重建、原生形状拟合和验证流程重建可编辑元素。
+
+```
+POST /api/export
+Content-Type: application/json
+
+请求体:
+{
+  "format": "generative_editable_pptx",
+  "aspect_ratio": "16:9",
+  "slide_order": ["slide-1", "slide-2"],
+  "editable_options": {
+    "fallback_policy": "fail"
+  },
+  "slides": [
+    {
+      "slide_id": "slide-1",
+      "image_base64": "base64编码的图片",
+      "text_metadata": [
+        {
+          "text": "Quarterly Plan",
+          "role": "title",
+          "order": 1,
+          "style_hint": {"font_size": 32, "bold": true}
+        }
+      ]
+    }
+  ]
+}
+```
+
+`fallback_policy` 可选值：
+- `fail`：默认。验证失败时返回错误，不返回低保真文件。
+- `text_editable_background`：显式允许使用文本可编辑、背景清理后的 fallback。
+- `raster_pptx`：显式允许降级到现有栅格 PPTX 导出。
+
+成功响应仍是 `.pptx` 文件下载。若使用 fallback，响应 header 会包含：
+- `X-Generative-Editable-Status`
+- `X-Generative-Editable-Fallback-Policy`
+- `X-Generative-Editable-Fallback-Used`
+
+更多配置和限制见 `docs/generative-editable-pptx.md`。
+
 ## 启动服务器
 
 ### 方式 1: 使用启动脚本

diff --git a/api/models.py b/api/models.py
@@ -2,7 +2,7 @@
 Pydantic 请求/响应模型定义
 """
 
-from typing import List, Optional, Literal
+from typing import Any, List, Optional, Literal
 from pydantic import BaseModel, Field
 
 
@@ -51,18 +51,24 @@ class ModelProfileConfig(BaseModel):
     model: str = Field(..., description="模型名称")
     base_url: str = Field(..., description="OpenAI-compatible Base URL")
     api_key: str = Field(..., description="API Key")
-    adapter: str = Field("openai_chat", description="适配器")
     thinking: Optional[Literal["enabled", "disabled"]] = Field(
         None, description="OpenAI-compatible thinking mode"
     )
 
 
 class ModelProfilesConfig(BaseModel):
-    """三角色模型配置"""
+    """模型 profile 配置"""
 
-    prompt_model: ModelProfileConfig
+    text_model: Optional[ModelProfileConfig] = None
+    prompt_model: Optional[ModelProfileConfig] = Field(None, description="旧字段，兼容 text_model")
     image_model: ModelProfileConfig
     edit_model: Optional[ModelProfileConfig] = None
+    VLM: Optional[ModelProfileConfig] = Field(
+        None, description="可选，多模态理解模型；图片转可编辑 PPTX 时使用"
+    )
+    ocr_model: Optional[ModelProfileConfig] = Field(
+        None, description="可选，OCR 模型；图片转可编辑 PPTX 时使用"
+    )
 
 
 class GenerationConfig(BaseModel):
@@ -226,6 +232,7 @@ class SlideData(BaseModel):
     page_number: int
     image_base64: str
     prompt: str
+    text_metadata: List["ExportTextMetadata"] = Field(default_factory=list)
 
 
 class GenerationProgressEvent(BaseModel):
@@ -293,14 +300,33 @@ class ExportSlide(BaseModel):
     """导出的幻灯片"""
 
     image_base64: str
+    slide_id: Optional[str] = None
+    text_metadata: List["ExportTextMetadata"] = Field(default_factory=list)
+
+
+class ExportTextMetadata(BaseModel):
+    """导出时附带的可编辑文本语义信息"""
+
+    text: str
+    role: str
+    order: int
+    style_hint: dict[str, Any] = Field(default_factory=dict)
+
+
+class ExportEditableOptions(BaseModel):
+    """可编辑导出的附加选项"""
+
+    fallback_policy: Literal["fail", "text_editable_background", "raster_pptx"] = "fail"
 
 
 class ExportRequest(BaseModel):
     """导出请求"""
 
     slides: List[ExportSlide]
-    format: Literal["pdf", "pptx"] = Field(..., description="导出格式")
+    format: Literal["pdf", "pptx", "generative_editable_pptx"] = Field(..., description="导出格式")
     aspect_ratio: Literal["16:9", "4:3"] = Field("16:9", description="导出画幅比例")
+    slide_order: Optional[List[str]] = None
+    editable_options: ExportEditableOptions = Field(default_factory=ExportEditableOptions)
 
 
 class ExportResponse(BaseModel):

diff --git a/api/profile_resolver.py b/api/profile_resolver.py
@@ -15,9 +15,18 @@ def _has_complete_generation_profiles(config: Any) -> bool:
     profiles = getattr(config, "model_profiles", None)
     if not profiles:
         return False
-    required = (profiles.prompt_model, profiles.image_model)
+    text_profile = (
+        getattr(profiles, "text_model", None)
+        or getattr(profiles, "prompt_model", None)
+        or getattr(profiles, "VLM", None)
+    )
+    image_profile = getattr(profiles, "image_model", None)
+    required = (text_profile, image_profile)
     return all(
-        _has_value(profile.model) and _has_value(profile.base_url) and _has_value(profile.api_key)
+        profile
+        and _has_value(profile.model)
+        and _has_value(profile.base_url)
+        and _has_value(profile.api_key)
         for profile in required
     )
 
@@ -41,7 +50,7 @@ def profiles_from_generation_config(config: Any) -> ModelProfileSet:
 
     if _has_complete_legacy_profiles(config):
         data: Dict[str, Any] = {
-            "prompt_model": {
+            "text_model": {
                 "model": config.text.model,
                 "base_url": config.text.base_url,
                 "api_key": config.text.api_key,
@@ -68,7 +77,7 @@ def profiles_from_generation_config(config: Any) -> ModelProfileSet:
 
     return resolve_model_profiles(
         {
-            "prompt_model": {
+            "text_model": {
                 "model": config.get_text_model(),
                 "base_url": config.get_text_base_url(),
                 "api_key": config.get_text_api_key(),
@@ -98,7 +107,7 @@ def profiles_from_edit_config(config: Any) -> ModelProfileSet:
 
     return resolve_model_profiles(
         {
-            "prompt_model": {
+            "text_model": {
                 "model": config.model,
                 "base_url": config.base_url,
                 "api_key": config.api_key,