Back to Work

Automated Content Ingestion

PythonCloud RunGemini AI

01. The Challenge

"Convert 100+ page PDFs into structured question banks without timing out."

A high-volume content team needed to digitize large educational PDFs. The files were massive, the OCR process was slow, and API rate limits on the extraction models were a constant bottleneck.

02. The Solution

We built a parallelized ingestion pipeline on Google Cloud Run utilizing Gemini's multimodal capabilities.

Architecture Highlights

Draft-First StrategyDecoupled extraction from review to prevent data loss.
Multi-Key RotationAdaptive concurrency to bypass API rate limits.
GCS DraftsResilient intermediate storage for large batch processing.

03. The Result

100+Pages per PDF Support
ZeroDowntime during Batching

Project Highlights

  • Parallelized Cloud Run Workers
  • Gemini Multimodal OCR
  • Operator-grade Review UX

Handling complex data?