Getting Started

Pipe2.ai chains multiple AI models into automated content pipelines. Upload your inputs — photos, text, or audio — choose a pipeline, and get finished content: images, videos, or both. No prompt engineering required.

Run your first pipeline

1. Create an account

   Go to pipe2.ai and sign up with email or social login (Google, GitHub, Microsoft).

2. Choose a pipeline

   Browse available pipelines on the dashboard. Each shows what it does, example output, and credit cost.

3. Upload your input

   Upload a photo, provide text, or configure the pipeline inputs. Each pipeline tells you exactly what it needs.

4. Generate

   Hit Generate. You’ll see real-time status as each AI step completes. Results typically take 30 seconds to 3 minutes.

5. Download your results

   Preview and download your generated images or videos. They’re also saved to your Library.

Tip

New accounts start with free credits. Check Billing for credit packs and subscription plans.

Key features

AI Pipelines

Pre-built workflows that chain multiple AI models. Each step feeds into the next — generation, processing, and composition happen automatically.

Credit-based billing

Pay only for what you use. Each pipeline run costs a set number of credits. Purchase credit packs or subscribe for monthly allowances.

GraphQL API

Full programmatic access via GraphQL and typed SDKs for TypeScript, Go, and Python. Run pipelines, check status, and manage assets.

MCP Server

Connect AI assistants like Claude Desktop to Pipe2.ai via the Model Context Protocol. Browse pipelines and generate content conversationally.

Next steps

Pipelines See available pipelines and how they work.

User Guide Dashboard, library, billing, and more.

API Reference GraphQL playground and schema reference.

SDKs TypeScript, Go, and Python client libraries.