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How to Migrate from ChatGPT Projects to Claude Projects

Step-by-step guide to migrate from ChatGPT Projects to Claude Projects. Move conversations, files, and workflows seamlessly.

Keyur Patel
Keyur Patel
February 20, 2026
10 min read
Tutorials

How to Migrate from ChatGPT Projects to Claude Projects

Ready to migrate ChatGPT to Claude? Making the switch from ChatGPT Projects to Claude Projects doesn't mean losing your existing work. This comprehensive guide walks you through migrating conversations, files, custom instructions, and workflows to establish Claude Projects as your new AI workspace.

Whether you're motivated by Claude's superior context windows, native API access, or better file management, this migration guide ensures a smooth transition with minimal disruption to your team's productivity.

Why Consider Migrating to Claude Projects?

Before diving into the mechanics of migration, let's clarify why you might want to make this switch:

Technical Advantages

Larger Context Windows: Claude's 200K token context versus ChatGPT's 128K allows handling larger codebases, longer documents, and more complex projects simultaneously.

Native API Access: Claude Projects integrate directly with Claude API, enabling programmatic access without external tools or workarounds.

Superior File Management: Advanced search, organization, and integration of files within projects streamline document-heavy workflows.

Performance: Faster response times and more consistent performance, especially with large context windows.

Operational Advantages

Persistent Context: Shared project understanding across team members without requiring context resets.

Better Collaboration: Granular permission controls and team features designed for sustained collaboration.

Knowledge Base Integration: Built-in systems for organizing and retrieving project information.

Transparency: Claude's emphasis on explainability and clear reasoning about decisions and actions.

Pre-Migration Checklist

Preparation Phase (1-2 Days)

Before starting migration, complete this checklist:

  • [ ] Audit your ChatGPT Projects: Document all active projects, conversation count, and file volumes
  • [ ] Identify stakeholders: Determine which team members need access to which projects
  • [ ] Assess integration requirements: Note any external tools or APIs currently connected
  • [ ] Plan project structure: Sketch out how Claude Projects will organize your work
  • [ ] Create Claude account: Ensure all team members have Claude Pro or Team access
  • [ ] Backup existing work: Export critical conversations and files as backup
  • [ ] Schedule migration windows: Plan specific times for team members to transition
  • [ ] Document custom instructions: Save all project-level instructions you'll need to recreate

Timeline Assessment

Small team (2-5 people), few projects: 1-2 weeks

Medium team (6-20 people), multiple projects: 3-4 weeks Large organization, complex ecosystem: 6-8 weeks

Plan for overlapping use of both platforms during transition to maintain continuity.

Phase 1: Exporting Your ChatGPT Data

Step 1: Export Conversations from ChatGPT

ChatGPT doesn't offer native bulk export, but you can export conversations individually:

For Individual Conversations:
  • Open ChatGPT and navigate to the conversation you want to export
  • Click the three-dot menu in the top-right corner
  • Select "Export" (or the download icon if available)
  • Choose format: JSON or Markdown
  • Recommendation: Use Markdown for readability and easier reimport to Claude
For Bulk Export:

If you have many conversations (50+), use these options:

  • ChatGPT Desktop App: Sometimes offers batch export functionality
  • ChatGPT API with Python: Write a script to export via API (requires developer access)
  • Browser Developer Tools: Advanced technique using Chrome DevTools to extract conversation data
Python Script for API-Based Export (if you have API access):

Step 2: Download All Project Files

Systematic File Download:
  • Open each ChatGPT Project
  • Navigate to files uploaded within conversations
  • Use browser download functionality (Shift+Click or right-click → Save)
  • Organize files in folder structure matching your ChatGPT project organization
Creating Organization Structure:

Step 3: Document Custom Instructions

ChatGPT Project-level custom instructions must be manually recorded:

  • Open each ChatGPT Project
  • Click project settings
  • Note all custom instructions exactly
  • Copy to a text file for reference during Claude setup
  • Include any personality instructions or style guides
Template for Recording Instructions:

Step 4: Create Migration Metadata File

Document your ChatGPT Projects structure:

Phase 2: Setting Up Claude Projects

Step 1: Create Your Claude Project Structure

Log into Claude.ai and create your project structure:

Initial Project Creation:
  • Click "Projects" in the left sidebar
  • Click "Create Project"
  • Enter project name (match ChatGPT Projects where applicable)
  • Add project description
  • Set team member access (if using Claude Team)
  • Click "Create"
Naming Convention Tips:

Keep names consistent with ChatGPT for team familiarity:

  • Use the exact same project names when possible
  • Add "[Migrated]" tag for clarity during transition
  • Document any renamed projects for team communication

Step 2: Configure Project Settings

For each new Claude Project:

  • Open the project
  • Click settings icon (gear icon)
  • Configure:
- Project Name: Clear, descriptive title

- Description: What this project is for

- Members: Add team members with appropriate roles

- Permissions: Set view/edit/admin privileges

Step 3: Upload Project Files

Uploading in Bulk:
  • Open your Claude Project
  • Click the "Files" or "Knowledge" section
  • Upload files (drag-and-drop or click to browse)
  • Organize files in folders/sections within the project
  • Add descriptions to important files for searchability
Organization Best Practices:
  • Create folders within projects (Documents, Data, References, Archives)
  • Name files descriptively with dates when relevant
  • Add file descriptions for context
  • Use consistent naming conventions across team
File Upload Limits:
  • Maximum file size: 20MB per file (Claude Pro/Team)
  • Total project storage: Varies by plan
  • Supported formats: PDF, TXT, DOCX, PPTX, JSON, CSV, CODE files
  • Recommendation: Compress large archives if needed

Step 4: Set Up Project Context and Instructions

Create Claude's equivalent of ChatGPT's custom instructions:

Using Project Notebook:
  • Open your Claude Project
  • Click "Project Notebook" or "Shared Context"
  • Add your exported custom instructions
  • Format as clear, structured guidelines
  • Include examples where helpful
Template for Claude Instructions:

Phase 3: Migrating Conversations

Strategy 1: Selective Migration (Recommended for Most Teams)

Not all conversations need migration. Prioritize:

High Priority (Migrate First):

  • Ongoing project discussions
  • Conversations containing decisions or conclusions
  • Conversations with recent activity (last 2 weeks)
  • Conversations referenced by multiple team members
Medium Priority (Migrate as Time Allows):

  • Completed project discussions
  • Reference conversations for methodologies
  • Training or onboarding materials
  • Archived but potentially useful conversations
Low Priority (Archive Only):

  • Exploratory conversations
  • Single-use problem-solving sessions
  • Outdated technical discussions
  • Conversations older than 6 months

Strategy 2: Creating Context Through Summaries

Rather than migrating every conversation, create summaries:

Conversation Summary Template:

Step-by-Step Conversation Migration

For Important Individual Conversations:
  • Open ChatGPT conversation
  • Click export (download as JSON or Markdown)
  • In Claude Project, start new conversation
  • Paste conversation content as reference
  • Optionally continue the conversation in Claude
  • Reference original conversation ID for tracking
Conversion Tips:
  • ChatGPT exported conversations often need formatting cleanup
  • Ask Claude to help reformat complex conversations
  • Use conversation summaries instead of full exports for efficiency
  • Keep original URLs or references for traceability

Step 3: Re-establishing Active Workflows

For actively-used conversations:

  • Identify current conversation topic in ChatGPT
  • Create new Claude conversation with same topic
  • Paste context from exported conversation
  • Ask Claude to "continue from this context"
  • Adjust any instructions for Claude's response style
  • Archive original ChatGPT conversation once confident

Phase 4: Adapting ChatGPT Patterns to Claude

Converting Custom GPTs to Claude Workflows

If you've been using Custom GPTs in ChatGPT Projects, adapt them to Claude:

Custom GPT Feature → Claude Equivalent:
ChatGPT FeatureClaude Equivalent
Custom InstructionsProject Notebook + System Prompt
Knowledge BaseProject Files + Search
Actions/APIsClaude API + Tool Use
Custom SettingsProject Configuration
Specialized BehaviorSystem Prompt Engineering
Example: Converting a "Marketing Strategist" Custom GPT
Original ChatGPT Setup:

Claude Equivalent:

Adjusting Prompts for Claude's Style

Claude has different strengths and preferences:

Adjustments to Make:
  • Be More Explicit: Claude responds well to detailed context
  • Ask for Reasoning: Claude excels at explaining its thinking
  • Provide Examples: Claude learns well from specific examples
  • Use Structured Requests: Claude handles JSON and structured formats excellently
  • Emphasize Transparency: Claude values explaining limitations and uncertainties
Before (ChatGPT):

After (Claude):

Phase 5: Team Transition and Training

Communication and Change Management

Announcement (Week 1):

Email template:

Training and Onboarding

30-Minute Training Session Agenda:
  • Overview (5 min): Why we're switching
  • Interface Tour (10 min): Key differences from ChatGPT
  • Project Navigation (5 min): Finding and accessing your projects
  • File Upload (5 min): How to upload and organize files
  • Q&A (5 min): Answer team questions
One-on-One Support:
  • Schedule 15-20 minute calls for team members needing help
  • Cover their specific projects and workflows
  • Establish their comfort level with new platform

Documentation and Resources

Create internal documentation:

Quick Start Guide:
  • How to access Claude Projects
  • Finding your assigned projects
  • Uploading files
  • Starting conversations
  • Sharing results with team
FAQ Document:
  • Where did my ChatGPT conversations go?
  • How do I search for old files?
  • Why doesn't Claude respond like ChatGPT?
  • How do I share results outside the project?
  • What if I need help?

Phase 6: Handling Special Cases

Large Codebases and Technical Projects

Challenge: ChatGPT's 128K context may have been limiting; Claude's 200K is much better.

Solution:
  • Migrate entire codebase to Claude Project files
  • Create organized file structure matching git repository
  • Add README files explaining codebase organization
  • Use Claude's superior search to navigate code
Example Structure:

Sensitive or Confidential Projects

Challenge: Moving sensitive data between platforms.

Solution:
  • Review security policies for both platforms
  • Use Claude Team with enterprise security
  • Remove sensitive examples from exported conversations
  • Establish clear data handling guidelines
  • Consider data redaction or anonymization

Projects with Custom API Integrations

Challenge: Custom GPT Actions may not transfer directly.

Solution:
  • Document all current API connections
  • Plan equivalent integration using Claude API
  • Test API connections in Claude environment
  • Schedule API migration during low-usage windows
Steps for Each Integration:

Phase 7: Optimization and Best Practices

Project Organization in Claude

Recommended Structure:

Knowledge Base Best Practices

  • Organize Files Logically: Create clear folder structures
  • Add Descriptions: Include file purposes and contents
  • Keep Current: Archive outdated files
  • Version Control: Note file versions or dates
  • Search Optimization: Use descriptive file names

Team Workflow Optimization

Weekly Syncs:
  • Discuss Claude Projects experience
  • Gather feedback on workflows
  • Adjust processes based on findings
  • Share best practices discovered
Monthly Reviews:
  • Assess productivity improvements
  • Compare ChatGPT vs Claude usage
  • Plan next optimization phase
  • Celebrate team adaptations

Common Migration Challenges and Solutions

Challenge 1: "Claude responds differently than ChatGPT"

Solution:

  • Update prompts with more context and detail
  • Use Claude's structured thinking capabilities
  • Ask Claude to explain its reasoning
  • Reference our prompt adaptation guide

Challenge 2: "We're losing historical context"

Solution:

  • Create summaries of important conversations
  • Use project notebooks for shared context
  • Archive ChatGPT conversations for reference
  • Build Claude project history gradually

Challenge 3: "Team members are resisting the change"

Solution:

  • Provide additional training and support
  • Highlight specific benefits for their role
  • Create "Claude champions" to help peers
  • Allow parallel use of both platforms temporarily
  • Celebrate early wins and successes

Challenge 4: "Integration with our existing tools is missing"

Solution:

  • Use Claude API for custom integrations
  • Explore alternative integration approaches
  • Work with your integration specialist
  • Contact Anthropic support for enterprise solutions

Challenge 5: "We're concerned about data privacy"

Solution:

  • Review Anthropic's privacy policies carefully
  • Use Claude Team with enterprise agreements
  • Implement data classification protocols
  • Follow internal security guidelines
  • Contact security team for enterprise requirements

Post-Migration Checklist

Week 1 After Migration

  • [ ] All team members have Claude access
  • [ ] All critical projects are set up in Claude
  • [ ] Team has completed training
  • [ ] Support process is established
  • [ ] ChatGPT Projects are still accessible as backup

Week 2 After Migration

  • [ ] Team is actively using Claude Projects
  • [ ] Feedback is being collected
  • [ ] No critical issues blocking work
  • [ ] File searches are working well
  • [ ] Team members are comfortable with interface

Week 4 After Migration

  • [ ] Full transition is complete
  • [ ] ChatGPT Projects are archived
  • [ ] All learnings are documented
  • [ ] Optimization opportunities identified
  • [ ] Success metrics are measured

Measuring Migration Success

Key Metrics to Track

  • Adoption Rate: % of team members actively using Claude
  • Project Coverage: % of projects successfully migrated
  • User Satisfaction: Team feedback on platform switch
  • Productivity: Time to complete common tasks
  • File Usage: Engagement with project files and knowledge base
  • Integration Quality: Functioning of connected tools

Sample Success Metrics Dashboard

Transitioning Custom Workflows

Before: ChatGPT Project Workflow

After: Claude Project Workflow

Conclusion: Your Successful Migration

Migrating from ChatGPT Projects to Claude Projects is a significant but manageable transition. By following this systematic approach, exporting data, setting up structure, adapting workflows, and training your team, you'll minimize disruption while gaining the benefits of Claude's superior context management, file handling, and API integration.

Key Success Factors:
  • Start with a clear migration plan
  • Prioritize critical projects first
  • Provide comprehensive team training
  • Allow time for workflow adaptation
  • Measure success with clear metrics
  • Maintain support for the transition period
The investment in this transition pays dividends through improved productivity, better collaboration, and access to Claude's more capable context management for complex projects.

Ready to Complete Your Migration?

Need help with a specific integration? Check out Claude Skills for automation possibilities.

Want to leverage Claude's full capabilities? Explore Claude 4.6 Opus features and advanced workflows.

Comparing platforms still? Review our detailed comparison to ensure this is the right move for your team.

Start your migration to Claude Projects today. Your team will be more productive within weeks. Get your team set up with Claude Projects and experience the difference that superior context management and file handling can make.

Keyur Patel

Written by Keyur Patel

AI Engineer & Founder

Keyur Patel is the founder of AiPromptsX and an AI engineer with extensive experience in prompt engineering, large language models, and AI application development. After years of working with AI systems like ChatGPT, Claude, and Gemini, he created AiPromptsX to share effective prompt patterns and frameworks with the broader community. His mission is to democratize AI prompt engineering and help developers, content creators, and business professionals harness the full potential of AI tools.

Prompt EngineeringAI DevelopmentLarge Language ModelsSoftware Engineering

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