From 8c9a603f2356bc5762384e5cf84865bc2e88a81c Mon Sep 17 00:00:00 2001
From: fernando_jacob <f.jacob1996@gmail.com>
Date: Sat, 21 Mar 2026 12:21:16 +0800
Subject: [PATCH] docs: make Chinese README the default

---
 README.md            | 150 ++++++++++++++++++------------------
 docs/README.de.md    |   6 +-
 docs/README.en.md    | 180 +++++++++++++++++++++++++++++++++++++++++++
 docs/README.es.md    |   6 +-
 docs/README.hi.md    |   6 +-
 docs/README.ja.md    |   6 +-
 docs/README.ko.md    |   6 +-
 docs/README.zh-CN.md |   8 +-
 8 files changed, 275 insertions(+), 93 deletions(-)
 create mode 100644 docs/README.en.md

diff --git a/README.md b/README.md
index 139d2f5..7eb3e4a 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,10 @@
-> **English** | [简体中文](docs/README.zh-CN.md) | [Deutsch](docs/README.de.md) | [日本語](docs/README.ja.md) | [한국어](docs/README.ko.md) | [हिन्दी](docs/README.hi.md) | [Español](docs/README.es.md)
+> [English](docs/README.en.md) | **简体中文** | [Deutsch](docs/README.de.md) | [日本語](docs/README.ja.md) | [한국어](docs/README.ko.md) | [हिन्दी](docs/README.hi.md) | [Español](docs/README.es.md)
 
 <div align="center">
 
 # AICheck
 
-**Detect AI-generated content. Offline. No API keys. No setup.**
+**检测 AI 生成的内容。离线运行。无需 API key。无需配置。**
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
@@ -13,25 +13,25 @@
 
 </div>
 
-*That viral image — AI or real?*
-*Which model generated this video?*
-*Can you trust this photo's metadata?*
+*那张疯传的图片——是 AI 还是真的？*
+*这个视频是用哪个模型生成的？*
+*这张照片的元数据可信吗？*
 
-AICheck answers these questions by analyzing file metadata and invisible watermarks. No API keys, no network, no setup.
+AICheck 通过分析文件元数据和隐形水印来回答这些问题。不需要 API key，不需要联网，不需要配置。
 
-**10 detection methods** · **61 AI tools** · **16 file formats** · **3 confidence tiers** · **Zero network requests**
+**10 种检测方法** · **61 种 AI 工具** · **16 种文件格式** · **3 级置信度** · **完全离线运行**
 
-[![Demo Video](https://img.youtube.com/vi/1u-6TkHtWiA/maxresdefault.jpg)](https://youtu.be/1u-6TkHtWiA)
+[![演示视频（Bilibili）](https://img.youtube.com/vi/1u-6TkHtWiA/maxresdefault.jpg)](https://www.bilibili.com/video/BV16Mc6zAE1s)
 
 ---
 
-## ⚡ Quick Start
+## ⚡ 快速开始
 
 ```bash
 cargo install aicheck
 ```
 
-> Requires [Rust 1.86+](https://rust-lang.org/tools/install/). Or build from source: `cargo install --path .`
+> 需要 [Rust 1.86+](https://rust-lang.org/tools/install/)。从源码构建：`cargo install --path .`
 
 ```bash
 aic check photo.jpg
@@ -50,131 +50,131 @@ real_photo.jpg
 
 ---
 
-## 🔍 How It Works
+## 🔍 工作原理
 
 ```
-                              your file
+                              你的文件
                                  |
      +------+------+------+------+------+------+------+
      |      |      |      |      |      |      |      |
      v      v      v      v      v      v      v      v
-  [C2PA] [XMP]  [EXIF] [PNG]  [MP4]  [ID3]  [WAV]  [FILE]
+  [C2PA] [XMP]  [EXIF] [PNG]  [MP4]  [ID3]  [WAV]  [文件名]
   HIGH  MEDIUM  LOW    LOW   MEDIUM MEDIUM MEDIUM   LOW
      |      |      |      |      |      |      |      |
      +--+---+--+---+--+---+--+---+--+---+--+---+--+---+
         |                                          |
         v                                          v
-  metadata signals found?                    no signals?
+  检测到元数据信号?                          没有信号?
         |                                          |
         v                                          v
-   [ Verdict ]              [ Invisible Watermark / Audio Spectral ]
-                              DWT-DCT or FFT analysis
-                              confidence: LOW
+   [ 判定 ]                    [ 隐形水印 / 音频频谱分析 ]
+                                DWT-DCT 或 FFT 分析
+                                置信度: LOW
                                        |
                                        v
-                                  [ Verdict ]
+                                  [ 判定 ]
 ```
 
-### Detection Methods
+### 检测方法
 
-**C2PA Manifests (HIGH confidence)** — Cryptographically signed provenance. If a C2PA manifest says "made by DALL-E," that's the most authoritative signal metadata can provide. Reads `digitalSourceType` and `claim_generator`. Works on images, videos, and audio (e.g. ElevenLabs).
+**C2PA 清单（HIGH 置信度）**— 经过加密签名的来源证明。如果 C2PA 清单写着「由 DALL-E 生成」，这就是元数据能提供的最权威证据。读取 `digitalSourceType` 和 `claim_generator` 字段。支持图片、视频和音频（如 ElevenLabs）。
 
-**XMP/IPTC Metadata (MEDIUM confidence)** — Standard photo metadata: `DigitalSourceType`, `AISystemUsed`, `AIPromptInformation`, `CreatorTool`. Reliable but unsigned — can be faked or stripped.
+**XMP/IPTC 元数据（MEDIUM 置信度）**— 标准照片元数据：`DigitalSourceType`、`AISystemUsed`、`AIPromptInformation`、`CreatorTool`。可靠但没有签名——可以伪造或删除。
 
-**MP4 Container Metadata (MEDIUM confidence)** — Parses iTunes-style atoms (`©too`, `©swr`), AIGC labels (China standard with JSON `ProduceID`), and H.264 SEI watermark markers (Kling, Sora, Runway, Pika, Luma, Hailuo, Pixverse, Vidu, Genmo, Haiper). Also detects non-AI creation software (FFmpeg, Remotion, Premiere, etc.) for informational display. Catches AI signals baked into video containers that other methods miss.
+**MP4 容器元数据（MEDIUM 置信度）**— 解析 iTunes 风格原子（`©too`、`©swr`）、AIGC 标签（中国标准，含 JSON `ProduceID`）和 H.264 SEI 水印标记（Kling、Sora、Runway、Pika、Luma、Hailuo、Pixverse、Vidu、Genmo、Haiper）。同时检测非 AI 创作软件（FFmpeg、Remotion、Premiere 等）作为信息展示。能捕获嵌入视频容器中的 AI 信号。
 
-**ID3 Audio Metadata (MEDIUM confidence)** — Reads ID3v2 tags from MP3 files: comment frames (COMM), URL frames (WOAS/WOAF/WXXX), and text frames (TENC/TPUB/TXXX). Detects AI audio platforms like Suno (via embedded URLs and "made with suno" comments).
+**ID3 音频元数据（MEDIUM 置信度）**— 读取 MP3 文件的 ID3v2 标签：注释帧（COMM）、URL 帧（WOAS/WOAF/WXXX）和文本帧（TENC/TPUB/TXXX）。可检测 Suno 等 AI 音频平台（通过嵌入的 URL 和「made with suno」注释）。
 
-**WAV Container Metadata (MEDIUM/LOW confidence)** — Parses RIFF LIST/INFO chunks (ISFT, ICMT, IART) for AI tool references. Also flags TTS-typical audio characteristics: mono channel + non-standard sample rates (16kHz, 22050Hz, 24000Hz).
+**WAV 容器元数据（MEDIUM/LOW 置信度）**— 解析 RIFF LIST/INFO 块（ISFT、ICMT、IART）中的 AI 工具引用。同时标记 TTS 典型音频特征：单声道 + 非标准采样率（16kHz、22050Hz、24000Hz）。
 
-**EXIF Heuristics (LOW confidence)** — If the `Software` tag matches a known AI tool AND typical camera fields (Make, Model, GPS, focal length) are absent, it's likely AI-generated. Also detects hash-like Artist tags.
+**EXIF 启发式（LOW 置信度）**— 如果 `Software` 标签匹配已知 AI 工具，且缺少典型的相机字段（Make、Model、GPS、焦距），那大概率是 AI 生成的。也能检测哈希式的 Artist 标签。
 
-**PNG Text Chunks (LOW confidence)** — Scans `tEXt` and `iTXt` chunks for AI tool references in Software, Comment, Description, Source, Author, parameters, and prompt keywords.
+**PNG 文本块（LOW 置信度）**— 扫描 `tEXt` 和 `iTXt` 块中 Software、Comment、Description、Source、Author、parameters、prompt 等关键字里的 AI 工具引用。
 
-**Filename Patterns (LOW confidence)** — Matches filenames against known AI tool naming conventions (e.g. ElevenLabs timestamp format `ElevenLabs_YYYY-MM-DDTHH_MM_SS_*`, Suno/SoundRaw prefixes, Midjourney/DALL-E in filenames).
+**文件名模式（LOW 置信度）**— 将文件名与已知 AI 工具的命名规则匹配（如 ElevenLabs 的时间戳格式 `ElevenLabs_YYYY-MM-DDTHH_MM_SS_*`、Suno/SoundRaw 前缀、文件名中的 Midjourney/DALL-E）。
 
-**Audio Spectral Analysis (LOW confidence)** — FFT-based analysis of WAV audio: detects hard frequency cutoffs (energy concentrated below Nyquist) and abnormal spectral flatness typical of TTS/AI synthesis. Runs as a fallback or with `--deep`.
+**音频频谱分析（LOW 置信度）**— 基于 FFT 的 WAV 音频分析：检测硬频率截断（能量集中在奈奎斯特频率以下）和异常的频谱平坦度，这些是 TTS/AI 合成的典型特征。作为后备方案自动运行，或通过 `--deep` 强制启用。
 
-**Invisible Watermarks (LOW confidence)** — Pixel-level DWT-DCT analysis that detects channel noise asymmetry, cross-channel bit agreement, and wavelet energy patterns. For videos, automatically extracts keyframes via `ffmpeg` and analyzes them individually. Runs automatically as a fallback when no metadata signals are found, or on demand with `--deep`.
+**隐形水印（LOW 置信度）**— 像素级 DWT-DCT 分析，检测通道噪声不对称性、跨通道比特一致性和小波能量模式。对于视频文件，自动通过 `ffmpeg` 提取关键帧并逐帧分析。当未检测到元数据信号时自动运行，也可通过 `--deep` 强制启用。
 
 ---
 
-## 🎯 What It Recognizes
+## 🎯 识别能力
 
-### AI Tools
+### AI 工具
 
-| Category | Tools |
-|----------|-------|
-| Image generation | DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, Imagen, Flux, Ideogram, Leonardo.ai, NovelAI, Grok, Jimeng (即梦) |
-| Video generation | Sora, Google Veo, Runway, Pika, Kling, Vidu, Luma, Hailuo (海螺), Pixverse, Genmo, Haiper |
-| Audio/Music generation | Suno, Udio, ElevenLabs, SoundRaw, AIVA, Boomy, Mubert, Beatoven, Soundful, Hume, Fish Audio |
-| Multimodal | GPT-4o, GPT-4, ChatGPT, OpenAI, GPT Image, Gemini |
-| Platforms | Bing Image Creator, Copilot Designer, Microsoft Designer, Canva AI, DreamStudio, NightCafe, Craiyon, DeepAI, Meta AI, Stability AI |
-| Interfaces | ComfyUI, Automatic1111 (A1111), InvokeAI, Fooocus |
-| Research | Glide, Parti, Muse, Seedream, Recraft |
+| 类别 | 工具 |
+|------|------|
+| 图像生成 | DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, Imagen, Flux, Ideogram, Leonardo.ai, NovelAI, Grok, Jimeng (即梦) |
+| 视频生成 | Sora, Google Veo, Runway, Pika, Kling, Vidu, Luma, Hailuo (海螺), Pixverse, Genmo, Haiper |
+| 音频/音乐生成 | Suno, Udio, ElevenLabs, SoundRaw, AIVA, Boomy, Mubert, Beatoven, Soundful, Hume, Fish Audio |
+| 多模态 | GPT-4o, GPT-4, ChatGPT, OpenAI, GPT Image, Gemini |
+| 平台 | Bing Image Creator, Copilot Designer, Microsoft Designer, Canva AI, DreamStudio, NightCafe, Craiyon, DeepAI, Meta AI, Stability AI |
+| 界面工具 | ComfyUI, Automatic1111 (A1111), InvokeAI, Fooocus |
+| 研究项目 | Glide, Parti, Muse, Seedream, Recraft |
 
-### File Formats
+### 文件格式
 
-| Type | Formats |
-|------|---------|
-| Image | JPEG, PNG, WebP, AVIF, HEIF, TIFF, GIF, BMP |
-| Video | MP4, MOV, AVI, WebM |
-| Audio | MP3, M4A, WAV |
-| Document | PDF |
+| 类型 | 格式 |
+|------|------|
+| 图片 | JPEG, PNG, WebP, AVIF, HEIF, TIFF, GIF, BMP |
+| 视频 | MP4, MOV, AVI, WebM |
+| 音频 | MP3, M4A, WAV |
+| 文档 | PDF |
 
 ---
 
-## 💻 Commands
+## 💻 命令
 
 ### `aic check [PATHS]`
 
-Analyze files for AI-generation signals.
+分析文件中的 AI 生成信号。
 
 ```bash
-aic check photo.jpg                       # single file
-aic check images/ -r                      # directory, recursive
-aic check photo.jpg --json                # JSON output
-aic check photo.jpg -q                    # quiet — exit code only
-aic check photo.jpg --min-confidence medium  # filter by confidence
-aic check photo.jpg --deep                # force pixel-level watermark analysis
+aic check photo.jpg                       # 单个文件
+aic check images/ -r                      # 目录，递归扫描
+aic check photo.jpg --json                # JSON 输出
+aic check photo.jpg -q                    # 静默模式——仅返回退出码
+aic check photo.jpg --min-confidence medium  # 按置信度过滤
+aic check photo.jpg --deep                # 强制启用像素级水印分析
 ```
 
 ### `aic info <FILE>`
 
-Dump all provenance metadata (C2PA manifests, XMP properties, EXIF fields, MP4 atoms, ID3 tags, WAV metadata, watermark analysis).
+输出所有溯源元数据（C2PA 清单、XMP 属性、EXIF 字段、MP4 原子、ID3 标签、WAV 元数据、水印分析）。
 
 ```bash
 aic info photo.jpg
 ```
 
-### Global Flags
+### 全局选项
 
-| Flag | Effect |
-|------|--------|
-| `--json` | Output as JSON |
-| `-q, --quiet` | Suppress output, set exit code only |
-| `--deep` | Force invisible watermark and audio spectral analysis on all files |
-| `--no-color` | Disable colored output |
+| 选项 | 说明 |
+|------|------|
+| `--json` | 以 JSON 格式输出 |
+| `-q, --quiet` | 不输出内容，仅设置退出码 |
+| `--deep` | 强制对所有文件进行隐形水印和音频频谱分析 |
+| `--no-color` | 禁用彩色输出 |
 
-### Exit Codes
+### 退出码
 
-| Code | Meaning |
-|------|---------|
-| `0` | AI signals detected |
-| `1` | No AI signals |
-| `2` | Error |
+| 退出码 | 含义 |
+|--------|------|
+| `0` | 检测到 AI 信号 |
+| `1` | 未检测到 AI 信号 |
+| `2` | 错误 |
 
 ---
 
-## ⚠️ Limitations
+## ⚠️ 局限性
 
-- **Stripped metadata = invisible.** If someone removes the metadata, there's nothing to detect. Social platforms do this on upload — always analyze the original file.
-- **Most AI images have no watermark.** Only ~19% of AI images carry detectable provenance markers (2025 data).
-- **Proprietary watermarks are out of reach.** SynthID, Stable Signature, and VideoSeal require keys we don't have.
-- **Pixel-level analysis has limits.** The built-in DWT-DCT watermark detector catches common patterns but is not a full forensic classifier. For deep statistical detection, use dedicated forensic tools.
+- **元数据被删了就没辙。** 如果有人把元数据剥掉了，那就没有可检测的内容。社交平台上传时会自动做这件事——请分析原始文件。
+- **大多数 AI 图片没有水印。** 仅约 19% 的 AI 图片携带可检测的来源标记（2025 年数据）。
+- **专有水印无法识别。** SynthID、Stable Signature、VideoSeal 需要我们没有的密钥。
+- **像素级分析有局限。** 内置的 DWT-DCT 水印检测器能捕获常见模式，但不是完整的取证分类器。深度统计检测请使用专业取证工具。
 
 ---
 
-## 📄 License
+## 📄 许可证
 
 [AGPL-3.0](LICENSE)
diff --git a/docs/README.de.md b/docs/README.de.md
index 615d546..f6d4849 100644
--- a/docs/README.de.md
+++ b/docs/README.de.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | [简体中文](README.zh-CN.md) | **Deutsch** | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
+> [English](README.en.md) | [简体中文](../README.md) | **Deutsch** | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -175,4 +175,4 @@ aic info photo.jpg
 
 ## 📄 Lizenz
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.en.md b/docs/README.en.md
new file mode 100644
index 0000000..35865ff
--- /dev/null
+++ b/docs/README.en.md
@@ -0,0 +1,180 @@
+> **English** | [简体中文](../README.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
+
+<div align="center">
+
+# AICheck
+
+**Detect AI-generated content. Offline. No API keys. No setup.**
+
+[![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
+[![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
+[![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
+
+</div>
+
+*That viral image — AI or real?*
+*Which model generated this video?*
+*Can you trust this photo's metadata?*
+
+AICheck answers these questions by analyzing file metadata and invisible watermarks. No API keys, no network, no setup.
+
+**10 detection methods** · **61 AI tools** · **16 file formats** · **3 confidence tiers** · **Zero network requests**
+
+[![Demo Video](https://img.youtube.com/vi/1u-6TkHtWiA/maxresdefault.jpg)](https://youtu.be/1u-6TkHtWiA)
+
+---
+
+## ⚡ Quick Start
+
+```bash
+cargo install aicheck
+```
+
+> Requires [Rust 1.86+](https://rust-lang.org/tools/install/). Or build from source: `cargo install --path .`
+
+```bash
+aic check photo.jpg
+```
+
+```
+photo.jpg
+  HIGH   C2PA: digitalSourceType = trainedAlgorithmicMedia (fully AI-generated)
+  HIGH   C2PA: claim_generator matches AI tool: DALL-E 3/OpenAI [dall-e]
+  MEDIUM XMP: AISystemUsed = DALL-E 3 [dall-e]
+  Verdict: AI-generated (confidence: HIGH)
+
+real_photo.jpg
+  No AI-generation signals detected.
+```
+
+---
+
+## 🔍 How It Works
+
+```
+                              your file
+                                 |
+     +------+------+------+------+------+------+------+
+     |      |      |      |      |      |      |      |
+     v      v      v      v      v      v      v      v
+  [C2PA] [XMP]  [EXIF] [PNG]  [MP4]  [ID3]  [WAV]  [FILE]
+  HIGH  MEDIUM  LOW    LOW   MEDIUM MEDIUM MEDIUM   LOW
+     |      |      |      |      |      |      |      |
+     +--+---+--+---+--+---+--+---+--+---+--+---+--+---+
+        |                                          |
+        v                                          v
+  metadata signals found?                    no signals?
+        |                                          |
+        v                                          v
+   [ Verdict ]              [ Invisible Watermark / Audio Spectral ]
+                              DWT-DCT or FFT analysis
+                              confidence: LOW
+                                       |
+                                       v
+                                  [ Verdict ]
+```
+
+### Detection Methods
+
+**C2PA Manifests (HIGH confidence)** — Cryptographically signed provenance. If a C2PA manifest says "made by DALL-E," that's the most authoritative signal metadata can provide. Reads `digitalSourceType` and `claim_generator`. Works on images, videos, and audio (e.g. ElevenLabs).
+
+**XMP/IPTC Metadata (MEDIUM confidence)** — Standard photo metadata: `DigitalSourceType`, `AISystemUsed`, `AIPromptInformation`, `CreatorTool`. Reliable but unsigned — can be faked or stripped.
+
+**MP4 Container Metadata (MEDIUM confidence)** — Parses iTunes-style atoms (`©too`, `©swr`), AIGC labels (China standard with JSON `ProduceID`), and H.264 SEI watermark markers (Kling, Sora, Runway, Pika, Luma, Hailuo, Pixverse, Vidu, Genmo, Haiper). Also detects non-AI creation software (FFmpeg, Remotion, Premiere, etc.) for informational display. Catches AI signals baked into video containers that other methods miss.
+
+**ID3 Audio Metadata (MEDIUM confidence)** — Reads ID3v2 tags from MP3 files: comment frames (COMM), URL frames (WOAS/WOAF/WXXX), and text frames (TENC/TPUB/TXXX). Detects AI audio platforms like Suno (via embedded URLs and "made with suno" comments).
+
+**WAV Container Metadata (MEDIUM/LOW confidence)** — Parses RIFF LIST/INFO chunks (ISFT, ICMT, IART) for AI tool references. Also flags TTS-typical audio characteristics: mono channel + non-standard sample rates (16kHz, 22050Hz, 24000Hz).
+
+**EXIF Heuristics (LOW confidence)** — If the `Software` tag matches a known AI tool AND typical camera fields (Make, Model, GPS, focal length) are absent, it's likely AI-generated. Also detects hash-like Artist tags.
+
+**PNG Text Chunks (LOW confidence)** — Scans `tEXt` and `iTXt` chunks for AI tool references in Software, Comment, Description, Source, Author, parameters, and prompt keywords.
+
+**Filename Patterns (LOW confidence)** — Matches filenames against known AI tool naming conventions (e.g. ElevenLabs timestamp format `ElevenLabs_YYYY-MM-DDTHH_MM_SS_*`, Suno/SoundRaw prefixes, Midjourney/DALL-E in filenames).
+
+**Audio Spectral Analysis (LOW confidence)** — FFT-based analysis of WAV audio: detects hard frequency cutoffs (energy concentrated below Nyquist) and abnormal spectral flatness typical of TTS/AI synthesis. Runs as a fallback or with `--deep`.
+
+**Invisible Watermarks (LOW confidence)** — Pixel-level DWT-DCT analysis that detects channel noise asymmetry, cross-channel bit agreement, and wavelet energy patterns. For videos, automatically extracts keyframes via `ffmpeg` and analyzes them individually. Runs automatically as a fallback when no metadata signals are found, or on demand with `--deep`.
+
+---
+
+## 🎯 What It Recognizes
+
+### AI Tools
+
+| Category | Tools |
+|----------|-------|
+| Image generation | DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, Imagen, Flux, Ideogram, Leonardo.ai, NovelAI, Grok, Jimeng (即梦) |
+| Video generation | Sora, Google Veo, Runway, Pika, Kling, Vidu, Luma, Hailuo (海螺), Pixverse, Genmo, Haiper |
+| Audio/Music generation | Suno, Udio, ElevenLabs, SoundRaw, AIVA, Boomy, Mubert, Beatoven, Soundful, Hume, Fish Audio |
+| Multimodal | GPT-4o, GPT-4, ChatGPT, OpenAI, GPT Image, Gemini |
+| Platforms | Bing Image Creator, Copilot Designer, Microsoft Designer, Canva AI, DreamStudio, NightCafe, Craiyon, DeepAI, Meta AI, Stability AI |
+| Interfaces | ComfyUI, Automatic1111 (A1111), InvokeAI, Fooocus |
+| Research | Glide, Parti, Muse, Seedream, Recraft |
+
+### File Formats
+
+| Type | Formats |
+|------|---------|
+| Image | JPEG, PNG, WebP, AVIF, HEIF, TIFF, GIF, BMP |
+| Video | MP4, MOV, AVI, WebM |
+| Audio | MP3, M4A, WAV |
+| Document | PDF |
+
+---
+
+## 💻 Commands
+
+### `aic check [PATHS]`
+
+Analyze files for AI-generation signals.
+
+```bash
+aic check photo.jpg                       # single file
+aic check images/ -r                      # directory, recursive
+aic check photo.jpg --json                # JSON output
+aic check photo.jpg -q                    # quiet — exit code only
+aic check photo.jpg --min-confidence medium  # filter by confidence
+aic check photo.jpg --deep                # force pixel-level watermark analysis
+```
+
+### `aic info <FILE>`
+
+Dump all provenance metadata (C2PA manifests, XMP properties, EXIF fields, MP4 atoms, ID3 tags, WAV metadata, watermark analysis).
+
+```bash
+aic info photo.jpg
+```
+
+### Global Flags
+
+| Flag | Effect |
+|------|--------|
+| `--json` | Output as JSON |
+| `-q, --quiet` | Suppress output, set exit code only |
+| `--deep` | Force invisible watermark and audio spectral analysis on all files |
+| `--no-color` | Disable colored output |
+
+### Exit Codes
+
+| Code | Meaning |
+|------|---------|
+| `0` | AI signals detected |
+| `1` | No AI signals |
+| `2` | Error |
+
+---
+
+## ⚠️ Limitations
+
+- **Stripped metadata = invisible.** If someone removes the metadata, there's nothing to detect. Social platforms do this on upload — always analyze the original file.
+- **Most AI images have no watermark.** Only ~19% of AI images carry detectable provenance markers (2025 data).
+- **Proprietary watermarks are out of reach.** SynthID, Stable Signature, and VideoSeal require keys we don't have.
+- **Pixel-level analysis has limits.** The built-in DWT-DCT watermark detector catches common patterns but is not a full forensic classifier. For deep statistical detection, use dedicated forensic tools.
+
+---
+
+## 📄 License
+
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.es.md b/docs/README.es.md
index 8e4dbb9..79b1189 100644
--- a/docs/README.es.md
+++ b/docs/README.es.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | [简体中文](README.zh-CN.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | **Español**
+> [English](README.en.md) | [简体中文](../README.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | **Español**
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -175,4 +175,4 @@ aic info photo.jpg
 
 ## 📄 Licencia
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.hi.md b/docs/README.hi.md
index 85d49b0..92c6782 100644
--- a/docs/README.hi.md
+++ b/docs/README.hi.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | [简体中文](README.zh-CN.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | **हिन्दी** | [Español](README.es.md)
+> [English](README.en.md) | [简体中文](../README.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | **हिन्दी** | [Español](README.es.md)
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -175,4 +175,4 @@ aic info photo.jpg
 
 ## 📄 लाइसेंस
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.ja.md b/docs/README.ja.md
index a218157..8fbc36d 100644
--- a/docs/README.ja.md
+++ b/docs/README.ja.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | [简体中文](README.zh-CN.md) | [Deutsch](README.de.md) | **日本語** | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
+> [English](README.en.md) | [简体中文](../README.md) | [Deutsch](README.de.md) | **日本語** | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -175,4 +175,4 @@ aic info photo.jpg
 
 ## 📄 ライセンス
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.ko.md b/docs/README.ko.md
index 10cc347..aceb465 100644
--- a/docs/README.ko.md
+++ b/docs/README.ko.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | [简体中文](README.zh-CN.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | **한국어** | [हिन्दी](README.hi.md) | [Español](README.es.md)
+> [English](README.en.md) | [简体中文](../README.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | **한국어** | [हिन्दी](README.hi.md) | [Español](README.es.md)
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -175,4 +175,4 @@ aic info photo.jpg
 
 ## 📄 라이선스
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)
diff --git a/docs/README.zh-CN.md b/docs/README.zh-CN.md
index 8721a75..54c5fb4 100644
--- a/docs/README.zh-CN.md
+++ b/docs/README.zh-CN.md
@@ -1,4 +1,4 @@
-> [English](../README.md) | **简体中文** | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
+> [English](README.en.md) | **简体中文** | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [हिन्दी](README.hi.md) | [Español](README.es.md)
 
 <div align="center">
 
@@ -8,7 +8,7 @@
 
 [![CI](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml/badge.svg)](https://github.com/MatrixA/aicheck/actions/workflows/ci.yml)
 [![Crates.io](https://img.shields.io/crates/v/aicheck)](https://crates.io/crates/aicheck)
-[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](LICENSE)
+[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue.svg)](../LICENSE)
 [![Rust](https://img.shields.io/badge/rust-1.86%2B-orange.svg)](https://www.rust-lang.org/)
 
 </div>
@@ -21,6 +21,8 @@ AICheck 通过分析文件元数据和隐形水印来回答这些问题。不需
 
 **10 种检测方法** · **61 种 AI 工具** · **16 种文件格式** · **3 级置信度** · **完全离线运行**
 
+[![演示视频（Bilibili）](https://img.youtube.com/vi/1u-6TkHtWiA/maxresdefault.jpg)](https://www.bilibili.com/video/BV16Mc6zAE1s)
+
 ---
 
 ## ⚡ 快速开始
@@ -175,4 +177,4 @@ aic info photo.jpg
 
 ## 📄 许可证
 
-[AGPL-3.0](LICENSE)
+[AGPL-3.0](../LICENSE)