Describe a video and Treza builds the AI pipeline that makes it: script, Veo 3.1 or Seedance shots, voiceover, music, captions, and posting to YouTube and TikTok. Runs on a schedule or behind an API. Prepaid credits, no subscription.
A startup from Pasadena, CA, USA, the United States, founded by Alex Daro.
This page is designed to help you find out whether TrezaLabs is good and if it is the right choice for you.
Treza turns a description into a working AI video pipeline. Tell it what you want in plain language, like a daily nature Short for YouTube, vertical clips cut from a podcast, or a product spot from a written brief, and Treza drafts the whole workflow: the script writer, the video and image models, voiceover, music, captions, and the publish step. Run it once, put it on a schedule, or call it from your own code.
Every step is a node on a visual canvas, so nothing is a black box. Open any pipeline to swap a model, rewrite a prompt, or add a step, then rerun just that part. Treza includes leading video models such as Veo 3.1, Seedance 2.5, Kling, and Wan, Gemini image models, and open text models like Llama, DeepSeek, and Qwen. Nodes also cover motion transfer, lip sync, upscaling to 4K, background removal, transcription, and text to speech. A built-in timeline editor handles the final cut, with layered tracks, transitions, and an AI assistant that makes edits on request.
What you can do with Treza: - Turn a one-line idea into a captioned, scored Short in chat - Clip long videos and podcast episodes into vertical clips, cut cleanly between words - Run a faceless channel on autopilot with scheduled pipelines - Post finished videos straight to connected YouTube and TikTok channels - Call any pipeline as an API, including an OpenAI-compatible endpoint - Build and run videos from Claude over MCP, or with the Treza plugin in ChatGPT
Pricing is simple: prepaid credits from $5, no subscription, and credits never expire. You only pay for successful runs, and every run shows what each step cost. For studios, agencies, and brands, Treza Enterprise adds deployment in your own cloud, custom nodes and workflows, and a forward deployed engineer.
Built by people from film and visual effects, Treza brings the pipeline thinking of professional post-production to generative video.
Listed in
Chat to pipeline
Describe a video in plain language and Treza drafts the whole pipeline
Visual node canvas
Every step is an editable node: swap models, rewrite prompts, rerun one step
Video and image models
Veo 3.1, Seedance 2.5, Kling, Wan, and Gemini image models
Output resolution
Up to 4K
Timeline editor
Layered tracks, transitions, captions, and an AI assistant that edits on request
Voice, music, captions
Text to speech voiceover, music beds with auto ducking, burned-in captions
Clipping
Cut long videos and podcasts into vertical clips, cut cleanly between words
Scheduling
Run any pipeline daily, weekly, or on a custom schedule
Publishing
Post straight to connected YouTube and TikTok channels
API
Every pipeline is an HTTP endpoint, including an OpenAI-compatible route
Claude and ChatGPT
Build and run videos from Claude over MCP or the Treza plugin in ChatGPT
Pricing
Prepaid credits from $5, no subscription, credits never expire
Most AI video tools give you one output from one model. Treza gives you the whole workflow as a pipeline you can see and change: script, shots, voiceover, music, captions, and publishing, each one a node on a canvas. Describe what you want in chat and Treza builds the pipeline for you, then run it once, on a schedule, or as an API. The same pipelines work from Claude over MCP and from the Treza plugin in ChatGPT.
Creators and small teams who publish video regularly: YouTube and TikTok channels, clippers who turn long videos and podcasts into Shorts, and marketers who need many versions of a video. Developers use the API and MCP server to generate video from their own products and AI assistants, and studios and agencies use Treza Enterprise for custom workflows in their own cloud.
TypeScript and React on Next.js, hosted on Vercel. AWS for data, storage, and rendering: DynamoDB, S3, CloudFront, and containerized render workers on ECS Fargate running ffmpeg. Models are reached through provider APIs such as OpenRouter and fal. Stripe for payments, QuickJS compiled to WebAssembly for sandboxed code steps, and the Model Context Protocol (MCP) for the Claude and ChatGPT integrations.
Treza was founded by Alex Daro, who worked at Marvel Studios, Digital Domain, and Company 3 before starting it. In film and VFX, every shot moves through a pipeline: defined steps that are versioned and can be rerun. When generative video models arrived, making a video with them meant the opposite: prompting in one app, downloading, captioning in another, and uploading by hand. Treza brings the post-production pipeline to generative video, so a video you describe once can be rebuilt, changed, and published again and again.
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