Seamless Platform Integration

One-click integration with LangChain, LlamaIndex, Flowise, n8n, Dify and more

Learn how to integrate Parse4ai with major AI platforms and tools

Supported Platforms

LangChain Logo
LlamaIndex Logo
n8n Logo
Flowise Logo
Dify Logo
LangChain Logo
LlamaIndex Logo
n8n Logo
Flowise Logo
Dify Logo

Integration Details

LangChain Logo

LangChain

Integration via document loader for quick access to LangChain chains

Seamless integration with LangChain ecosystem
LlamaIndex Logo

LlamaIndex

Enable LlamaIndex to directly use document parsing capabilities via data connector

Simplify knowledge base construction workflow
n8n Logo

n8n

Achieve document parsing workflow automation via n8n node configuration

Flexible workflow orchestration
Flowise Logo

Flowise

Quickly build document processing Agent via Flowise plugins

Visual process design
Dify Logo

Dify

Enable LLM applications to directly call document parsing via Dify tool integration

Out-of-the-box LLM application capabilities

More Platforms Coming

Tell us what platforms you want to integrate

Why Choose Parse4ai Integration?

⚙️

Zero Maintenance

No need to maintain backend parsing engines, automatic updates with latest capabilities

🚀

Automatic Upgrade

New engines and features automatically deployed, continuous improvement

📋

Consistent Output

Unified standard output format for cross-platform consistent experience

🔄

Multi-Model Backend

Switch between different parsing engines, choose optimal solution

🛡️

Fallback Mechanism

Intelligent downgrade ensuring parsing success rate

🔌

Plug-and-Play Integration

Quick integration with no complex configuration required

Quick Integration Examples

LangChain Loader

from parse4ai import Parse4aiLoader

loader = Parse4aiLoader(api_key="your-api-key")
docs = loader.load("/path/to/document.pdf")

n8n Node Configuration

{
  "name": "Parse Document",
  "type": "parse4ai-node",
  "apiKey": "your-key",
  "outputFormat": "json"
}

REST API Call

curl -X POST https://api.parse4ai.com/v1/parse \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@document.pdf"

Start Building

Unified API for High-Performance Document Parsing