Making a documentary-style video the traditional way means a writer, a storyboarder, a motion designer, a voiceover artist, a sound designer, and an editor, working in sequence, handing files between tools, waiting on each other at every step.

3DLabs collapses that entire process into a single pipeline. You describe a topic. The platform writes the story, plans every scene, generates consistent 3D visuals, animates them into clips, records narration, cues sound effects to the right second, and assembles the final film, automatically, in under 8 minutes.

The system runs ten stages in sequence. The output of each stage becomes the input for the next, no manual handoffs, no file exports between tools.

Story: Gemini authors a tight narrative from your topic, defining beats, tone, and runtime. This isn't a generic script template. The story is structured around the specific subject you describe.

Scene plan: A cinematographer-grade breakdown is generated for every scene: camera angle, lighting, duration, and audio cues. This structured plan is what drives every downstream stage, visuals, narration, and sound effects all reference it.

Images: Flux or Gemini generates 3D stills for each scene. Visual continuity is maintained by anchoring each image to the previous scene's output, consistent characters, colour palette, and lighting across every cut. This is what prevents the jarring visual inconsistency that plagues most AI video tools.

Video: Seedance, LTX, or Minimax animates each still into a 5–10 second clip. The model can be swapped without touching anything else in the pipeline.

Audio: ElevenLabs narrates each scene from a TTS script broken into scene-level segments. Multi-part audio is concatenated and synced to frame duration automatically. Sound effects are placed at precise seconds derived from the scene plan timeline, not randomly layered in post.

Export: FFmpeg merges all clips, narration, and sound effects into a single production file. Four output formats are supported: 16:9, 9:16, 1:1, and 4:3.

Most AI video tools are demos, impressive for a single generation, brittle under real use. 3DLabs was built differently.

The credit system reserves credits before a job runs, confirms on success, and releases on failure. No silent overcharges when a generation fails mid-pipeline.

Workspaces are isolated per project and per team. Collaborators can be invited without sharing API keys. Three separate client verticals can run simultaneously with fully independent billing.

Multi-model routing means any model in the pipeline, image generation, video animation, or TTS, can be swapped independently without restructuring the workflow. The pipeline doesn't care which model runs at each stage, only what it receives and what it returns.

When a generation job fails mid-pipeline, the system handles it gracefully rather than silently corrupting the output or losing progress.

Frontend: Next.js, TypeScript AI Models: Gemini, Replicate (Flux, Seedance, LTX, Minimax), ElevenLabs Video assembly: FFmpeg Auth & workspaces: Clerk Infrastructure: Credit reservation system, workspace isolation, multi-tenant architecture

12+ AI models integrated across the pipeline. Every model connected through a unified routing layer so the pipeline stays stable as the AI landscape changes underneath it.

A documentary director generated a 90-second historical piece in under 10 minutes. The scene-to-scene visual consistency alone would have taken a motion designer half a day to achieve manually.

Content teams running multiple client accounts can now isolate credits per workspace, making billing clean and transparent without any manual reconciliation.

3DLabs is live at 3dlabs.it.com.

The architecture behind 3DLabs, a multi-stage AI pipeline where each step feeds the next, with model-agnostic routing and production-grade reliability., applies to any workflow that currently requires multiple tools, multiple people, and manual handoffs between them.