name: "ChatLift AI Conversation Exporter & Archive" description: "Import, search, and archive AI conversations from ChatGPT, Claude, and Gemini. Clean indexed formats, full-text search, static HTML archive. No server required." author: "@TheShadowRose" version: "1.0.1" tags: ["export", "archive", "conversations", "search", "chatgpt", "claude", "backup"] license: "MIT"

ChatLift AI Conversation Exporter & Archive

Import, search, and archive AI conversations from ChatGPT, Claude, and Gemini. Clean indexed formats, full-text search, static HTML archive. No server required.

Import, search, and archive your AI conversations.

Extract ChatGPT, Claude, and Gemini conversation exports into clean, indexed formats. Full-text search. Static HTML archive with search bar. No server required.

What It Does

ChatLift converts AI conversation exports into portable, searchable formats:

1. Import - Parse ChatGPT/Claude/Gemini exports
2. Convert - Generate Markdown, HTML, and JSON
3. Search - Full-text search across all conversations
4. Archive - Static HTML archive with navigation

Why This Exists

AI chat platforms: - Lock your conversations in proprietary formats - Make search difficult or impossible - Can delete your data at any time

ChatLift gives you control: - Own your conversation history - Search across all platforms - Portable formats (Markdown, HTML, JSON) - Works offline forever

Quick Start

Install

No dependencies! Python 3.7+ stdlib only.

# Copy config (optional)
cp config_example.py config.py

Import Conversations

Export your conversations from ChatGPT, Claude, or Gemini, then:

# Import ChatGPT export
python3 chat_lift.py chatgpt conversations.json

# Import Claude export
python3 chat_lift.py claude claude-export.json

# Import Gemini export
python3 chat_lift.py gemini gemini-conversations.json

Generates: - chat-archive/markdown/*.md - Human-readable markdown - chat-archive/html/*.html - Styled HTML pages - chat-archive/json/*.json - Structured JSON

Search Conversations

# Search all conversations
python3 chat_search.py search --query "machine learning"

# Search with regex
python3 chat_search.py search --query "python.*async" --regex

# Search by date range
python3 chat_search.py date --start-date 2026-01-01 --end-date 2026-02-01

# Get archive statistics
python3 chat_search.py stats

Generate HTML Archive

# Generate static archive website
python3 chat_archive.py

# Open chat-archive/web/index.html in browser

The HTML archive includes: - Search bar - Filter by keyword or source - Navigation - Browse all conversations - No server needed - Pure static files

Usage Examples

Import Multiple Exports

# Import all your platforms
python3 chat_lift.py chatgpt chatgpt-export.json
python3 chat_lift.py claude claude-export.json
python3 chat_lift.py gemini gemini-export.json

# Generate unified archive
python3 chat_archive.py

Search Across All Platforms

from chat_search import ConversationSearcher

searcher = ConversationSearcher('chat-archive')

# Find all conversations mentioning "agent"
results = searcher.search('agent')

for result in results:
    print(f"{result['conversation']['title']}")
    print(f"  Source: {result['conversation']['source']}")
    print(f"  Matches: {result['total_matches']}\n")

Custom Output Formats

# Only generate markdown
python3 chat_lift.py chatgpt export.json --formats markdown

# Generate all formats
python3 chat_lift.py chatgpt export.json --formats markdown html json

# Custom output directory
python3 chat_lift.py chatgpt export.json --output-dir ~/my-chats

Filter Search Results

# Search only ChatGPT conversations
python3 chat_search.py search --query "python" --source chatgpt

# Search only user messages
python3 chat_search.py search --query "explain" --role user

# Case-sensitive search
python3 chat_search.py search --query "API" --case-sensitive

Export Instructions

ChatGPT

1. Go to chat.openai.com
2. Settings → Data controls → Export data
3. Wait for email with download link
4. Download conversations.json

Claude

1. Go to claude.ai
2. Settings → Privacy → Export your data
3. Download export file
4. Extract JSON from archive

Gemini

1. Go to gemini.google.com
2. Account settings → Download your data
3. Select Gemini conversations
4. Download export file

File Formats

Markdown

# Conversation Title

**Source:** chatgpt  
**ID:** abc123def456  
**Created:** 2026-02-21 10:30:00  

---

## USER

How do I deploy a Flask app?

*2026-02-21 10:30:15*

---

## ASSISTANT

Here's how to deploy a Flask application...

*2026-02-21 10:30:45*

---

JSON

{
  "id": "abc123def456",
  "title": "Conversation Title",
  "source": "chatgpt",
  "create_time": 1708512600,
  "messages": [
    {
      "role": "user",
      "content": "How do I deploy a Flask app?",
      "timestamp": 1708512615
    },
    {
      "role": "assistant",
      "content": "Here's how to deploy a Flask application...",
      "timestamp": 1708512645
    }
  ]
}

HTML

Clean, styled HTML with: - Responsive design - Color-coded messages - Timestamps - Source badges

Archive Structure

chat-archive/
├── markdown/          # Human-readable markdown
│   ├── abc123.md
│   └── def456.md
├── html/              # Styled HTML pages
│   ├── abc123.html
│   └── def456.html
├── json/              # Structured JSON
│   ├── abc123.json
│   └── def456.json
└── web/               # Static HTML archive
    ├── index.html     # Browse/search interface
    ├── abc123.html    # Conversation pages
    ├── def456.html
    ├── style.css      # Styling
    └── search.js      # Search functionality

Search Features

Full-Text Search

# Simple text search
python3 chat_search.py search --query "machine learning"

# Case-sensitive
python3 chat_search.py search --query "API" --case-sensitive

# Regex patterns
python3 chat_search.py search --query "python.*async" --regex

Filters

# Filter by source platform
python3 chat_search.py search --query "code" --source chatgpt

# Filter by message role
python3 chat_search.py search --query "explain" --role assistant

# Combine filters
python3 chat_search.py search --query "deploy" --source claude --role user

Date Range

# Conversations from specific date range
python3 chat_search.py date --start-date 2026-01-01 --end-date 2026-02-01

# All conversations after date
python3 chat_search.py date --start-date 2026-02-01

# All conversations before date
python3 chat_search.py date --end-date 2026-02-01

Statistics

python3 chat_search.py stats

Shows: - Total conversations - Total messages - Word count - Breakdown by source - Breakdown by role

HTML Archive

Features

• Search bar - Real-time filter as you type
• Source filter - Filter by ChatGPT, Claude, Gemini
• Clean design - Responsive, mobile-friendly
• No server - Pure static HTML/CSS/JS
• Works offline - Archive travels with you

Customization

Edit chat-archive/web/style.css to customize: - Colors - Fonts - Layout - Message styling

The archive is pure HTML/CSS/JS - modify freely.

Integration

Python API

from chat_lift import ConversationImporter
from chat_search import ConversationSearcher
from chat_archive import ArchiveGenerator

# Import conversations
importer = ConversationImporter('chat-archive')
conversations = importer.import_chatgpt('export.json')

for conv in conversations:
    importer.save_conversation(conv, formats=['markdown', 'json'])

# Search
searcher = ConversationSearcher('chat-archive')
results = searcher.search('python programming')

# Generate HTML archive
generator = ArchiveGenerator('chat-archive')
generator.generate_archive()

Batch Processing

import glob
from chat_lift import ConversationImporter

importer = ConversationImporter('chat-archive')

# Import all ChatGPT exports in directory
for export_file in glob.glob('exports/chatgpt-*.json'):
    conversations = importer.import_chatgpt(export_file)
    for conv in conversations:
        importer.save_conversation(conv)

print("All exports imported!")

Limitations

See LIMITATIONS.md for details.

Key constraints: - Export formats vary by platform version - No real-time sync (manual export/import) - Search is text-based (not semantic) - Large archives (10,000+ conversations) may be slow

License

MIT License - See LICENSE

Author: Shadow Rose

Why This Exists

Your AI conversations are valuable: - Learning history - Project documentation - Personal knowledge base

小葱技能7w4.net有更新，你可以访问看下。

But they're locked in proprietary platforms that: - Can change or delete your data - Make search difficult - Don't export cleanly

ChatLift gives you: - Ownership - Your data, your formats - Portability - Markdown, HTML, JSON - Search - Find anything instantly - Permanence - Works offline forever

Take back your conversation history.

⚠️ Disclaimer

This software is provided "AS IS", without warranty of any kind, express or implied.

USE AT YOUR OWN RISK.

• The author(s) are NOT liable for any damages, losses, or consequences arising from the use or misuse of this software — including but not limited to financial loss, data loss, security breaches, business interruption, or any indirect/consequential damages.
• This software does NOT constitute financial, legal, trading, or professional advice.
• Users are solely responsible for evaluating whether this software is suitable for their use case, environment, and risk tolerance.
• No guarantee is made regarding accuracy, reliability, completeness, or fitness for any particular purpose.
• The author(s) are not responsible for how third parties use, modify, or distribute this software after purchase.

By downloading, installing, or using this software, you acknowledge that you have read this disclaimer and agree to use the software entirely at your own risk.

DATA DISCLAIMER: This software processes and stores data locally on your system. The author(s) are not responsible for data loss, corruption, or unauthorized access resulting from software bugs, system failures, or user error. Always maintain independent backups of important data. This software does not transmit data externally unless explicitly configured by the user.

Support & Links

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这是一款相当实用的AI对话备份工具，优点是零依赖、易上手、能同时支持ChatGPT/Claude/Gemini三大平台。文档质量很高，说明也很详细。缺点是搜索只是普通文字匹配而非智能搜索，导出格式如有变化可能导致兼容问题，而且不支持自动同步需要手动更新。如果你能接受定期手动导出备份，它是一个很好的数据掌控方案。质量在同类工具中属于中上水平，值得使用。