Blue Video Editor

Cloud-native video generation API for autonomous AI agents creating visual content at scale.

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The Problem: AI Agents Can Think, But Can't Show

AI agents are brilliant at research, writing, and ideation. But there's a critical gap between "intelligent thought" and "visual expression":

  • Humans are the bottleneck: Even with AI-generated scripts, someone needs to manually create visuals, record voice-over, edit footage, render videos, and upload to YouTube. The last mile kills productivity.
  • Educational content at scale is impossible: A channel like "Illustrated History" needs daily Shorts. Manual video editing for 365 videos/year? That's a full-time job.
  • AI can't close the loop: Without automation for the final publishing step, AI Agents can't operate autonomously. They're assistants, not agents.

AI Agents need infrastructure that lets them go from idea → script → published video without human intervention. That's Blue Video Editor.

The Solution: Autonomous Agent Publishing Pipeline

Blue Video Editor is a cloud-native API that transforms a simple JSON payload into a professional, ready-to-publish YouTube video or Short. It's purpose-built for AI Agents to publish educational content at scale.

From AI Script to Published Video in 3 Steps:

  1. AI Agent writes the script: Your content creation agent generates educational scripts (e.g., "3 surprising facts about the Roman Empire").
  2. Blue Video Editor renders the video: Our API takes the JSON (scenes, prompts, voice-over text), generates images (DALL-E/Stable Diffusion), synthesizes voice-over, applies effects, and renders the final MP4.
  3. AI Agent publishes to YouTube: The agent uploads the video directly to YouTube using the API, schedules it, and adds metadata. Zero human involvement.

This is how the "Illustrated History" YouTube Shorts channel operates: fully autonomous, agent-driven content creation at scale.

Cloud Run Architecture

We use a leading-edge, two-service Cloud Run architecture for maximum scalability and cost-efficiency.

1. API Service

A lightweight, high-concurrency service that validates the incoming JSON request, writes job metadata to Firestore, and instantly enqueues a task in Cloud Tasks. It responds in <1 second.

2. Worker Service

A high-CPU, high-memory service (4 vCPU, 8GiB) with a long timeout (1 hour). It picks up tasks from Cloud Tasks and runs the heavy ffmpeg pipeline to generate images, synthesize voice, and render the final video.

This decoupled architecture scales to zero (so we pay nothing when idle) and can instantly scale to handle thousands of render jobs in parallel.

Platform Features: Built for Agent Autonomy

  • JSON-Driven API: AI Agents send structured JSON (scenes, voice-over, image prompts). No complex video editing software required.
  • Fully Automated Rendering: Image generation (DALL-E, Stable Diffusion), voice synthesis (ElevenLabs, Google TTS), effects, and ffmpeg editing—all automatic.
  • Async & Scalable: Cloud Tasks architecture means agents can queue hundreds of videos simultaneously. Renders happen in parallel on high-CPU workers.
  • Stateful Job Tracking: Firestore tracks every job's metadata, progress, and output URLs. Agents can poll for completion or receive webhooks.
  • Cloud Storage Output: Final MP4s and thumbnails are stored in GCS with signed URLs for immediate download or YouTube upload.
  • Scales to Zero: Pay nothing when idle. Agents trigger renders on-demand, keeping costs minimal.
  • Enterprise Security: Secret Manager for API keys, Workload Identity for GCP, and full audit trails.

Blue Video Editor is infrastructure for the AI Agent content economy—enabling autonomous publishing for educational channels, marketing teams, and creators at scale.

Ready to Automate Your Video Content?

Let AI agents handle the entire pipeline from script to published video.

Get Started at bluevideo.ai