Private GPT
Interact privately with your documents using the power of GPT, no data leaks.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Private GPT?
Private GPT allows users to interact with their own documents in a private manner using GPT technology. It ensures complete privacy and security by keeping all data local.
Key differentiator
“Private GPT stands out by offering complete privacy and local processing capabilities, making it ideal for sensitive data projects that require the power of GPT without cloud dependencies.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Lack of official plugins or connectors for popular data sources and services
Configuration requires manual tuning of parameters like chunk size, overlap, etc.
Fit analysis
Who is it for?
✓ Best for
Developers who need to ensure complete privacy and security of their documents while using GPT technology.
Teams working with sensitive data that cannot be processed in the cloud.
Individuals or organizations requiring local AI capabilities without internet dependency.
✕ Not a fit for
Projects needing real-time interaction with a large dataset, as it is self-hosted and might have performance limitations.
Users who prefer managed services over self-hosting for ease of use and maintenance.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Private GPT
Step-by-step setup guide with code examples and common gotchas.