Shotstack

Render videos at scale through AI-powered Shotstack conversations

Your AI agent triggers Shotstack video renders, manages templates, and ingests media assets directly from chat. Marketing teams produce personalized videos without learning an editing tool. Creative operations scale without adding headcount.

Chosen by 800+ global brands across industries

Video production automated through conversation

Your AI agent harnesses Shotstack's cloud rendering API to create videos, manage media libraries, and handle templates, all inside natural chat interactions.

Shotstack

Use Cases

Video workflows driven by conversation

Real scenarios where marketing and product teams produce, manage, and distribute video content through AI-powered Shotstack automation.

Personalized Sales Videos at Scale

A sales team wants to send personalized video messages to 200 prospects. A rep tells the AI Agent the template name and a list of prospect names and company logos. The agent submits 200 render jobs to Shotstack, each with customized text overlays and branded visuals. Hosted download links arrive as renders complete. The team sends personalized outreach without touching a video editor.

Social Media Ad Variations Without a Designer

A social media manager needs five 15-second ad variations with different headlines for A/B testing. The manager describes the changes to the AI Agent, which updates the Shotstack template with each headline, renders all five versions in parallel, and delivers hosted URLs. The manager uploads them directly to ad platforms. Creative iteration shrinks from days to minutes.

Automated Product Demo Videos From Media Library

After a product update, the marketing team needs a refreshed demo video. The AI Agent ingests new screenshots and screen recordings into Shotstack, inspects each file for resolution and duration, assembles a timeline using an existing template, and triggers the render. The finished video is hosted and ready to embed on the product page within the hour.

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Shotstack

Shotstack

FAQs

Frequently Asked Questions

How does the AI agent trigger a video render in Shotstack?

The agent submits a JSON-formatted timeline definition to Shotstack's Edit API Render endpoint. The timeline specifies clips, text overlays, transitions, and output settings. Shotstack processes the render in the cloud and the agent monitors the job until a download URL is ready.

Can I use existing Shotstack templates to generate video variations?

Yes. Save a video layout as a Shotstack template, then tell the agent which elements to change, like headlines, images, or background music. The agent updates the template parameters and renders each variation. This is how teams produce hundreds of personalized videos from a single design.

What video formats and resolutions does Shotstack support?

Shotstack renders MP4 video by default and supports resolutions from SD to 4K. You can configure output settings including resolution, frame rate, and aspect ratio in the render request. The agent passes these parameters directly to the API.

Does Tars store my Shotstack media files or rendered videos?

No. Tars sends API calls to Shotstack and returns results within the conversation. Your source media, rendered videos, and templates remain stored on Shotstack's infrastructure. Tars does not cache or replicate any media files.

Can the agent check the status of a render job while it is processing?

Yes. The agent uses Shotstack's render status endpoint to poll the job. It reports progress states like queued, rendering, and done. When the render completes, the agent shares the download or hosted URL directly in the conversation.

What is the difference between the staging and production environments?

The staging environment renders watermarked, lower-resolution videos for free, ideal for testing templates and workflows. The production environment renders full-quality video and charges credits. Your agent connects to whichever environment you configure during setup.

Can the agent ingest media from any public URL?

Yes. The agent uses Shotstack's Fetch Source endpoint to download a media file from any publicly accessible URL and store it as a source asset. The ingested file is transcoded and ready to include in future video timelines.

How is this different from using Shotstack's dashboard directly?

The Shotstack dashboard requires manual configuration of timelines and render settings. With Tars, you describe what you need in conversation and the agent handles the API calls. Non-technical team members can produce videos without learning Shotstack's interface or JSON schema.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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