System Operational

The data pipeline for Language Models.

Infratex is the definitive PDF pre-processing engine. We convert highly complex documents directly into structured Markdown, radically improving LLM context windows and response accuracy while cutting compute costs.

extract.sh
# 1. Send your complex PDF
curl -X POST https://api.infratex.com/api/v1/documents \
-H "Authorization: Bearer $INFRATEX_KEY" \
-F "file=@q3_financials.pdf"

// 2. Returns the processed document payload
{
"id": "8f2a9a0c-7b15-4cd6-8f77-cc3d7d3295f2",
"status": "done",
"filename": "q3_financials.pdf",
"markdown": "# Q3 Financial Results\n\n| Revenue | YoY |\n|---|---|\n...",
}

The Routing Layer for AI Data

Infratex ingests raw documents, reconstructs their geometry deterministically, and pipes clean data straight to your intelligence stack.

Raw PDF
INFRATEX
ENGINE
LLMs
Vector DB
RAG

Built for infrastructure scale.

Most parsing tools rely heavily on slow, expensive vision-language models to interpret documents. They take screenshots, ask an VLM what it sees, and wait. This inevitably leads to hallucinations, severe latency spikes, and unmanageable scale costs.

Infratex completely eliminates the vision-model layer. As a deterministic pre-processing engine, we strictly read coordinate geometry, evaluate structural bounding boxes, and output perfect Markdown — enabling your LLMs to focus entirely on reasoning rather than parsing.

Zero Latency SpikesDeterministic execution
CPU-OptimizedRuns natively without GPUs
Unstructured / LlamaParseVision Inference (15s+)
Infratex Pre-processing~100ms
STATUS: Benchmarked at 108 pages/second