This section showcases technical patterns and workflows that help you scale Nexrender Cloud for real-world automation tasks — from batch rendering to personalized voiceovers.Documentation Index
Fetch the complete documentation index at: https://nexrender.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
1. Batch Rendering at Scale
If you need to render hundreds or thousands of video variants (e.g. for product catalogs, event invites, or localized ads), use this workflow.Step-by-Step
- Prepare a
.aepor.mogrttemplate with dynamic layers (text, images, audio) - Create a CSV, JSON, or database table with per-job data:
- Write a script (Node.js or Python) to loop through records and:
- POST a new job using the API
- Replace layer values using the
assetsarray
Example Job Payload
Tips
- Throttle job creation (60/min max)
- Use tags or metadata to group related jobs
- Poll status or use webhooks to track completion
2. Adding TTS Voiceovers
You can dynamically synthesize speech and inject audio into a composition layer.Steps
- Generate speech using an API like ElevenLabs or Google Cloud TTS
- Store the audio file on a public or whitelisted URL
- Add it as an
audioasset in the job payload
Tips
- Sync duration and placement inside AE composition
- Use TTS engine options to vary pitch/speed
- Pre-generate and cache audio where possible
3. Personalized Titles and Text
Use asset injection to modify text dynamically per job.Example Asset
Tips
- Use clear
layerNames in your AE project - Wrap expressions in AE to handle empty values:
- Use
previewmode during development - Fonts must be preloaded via Fonts API
Combine Them
You can combine all three patterns — injecting TTS, custom images, and batch metadata — to create:- Automated onboarding videos
- Personalized wrap-ups or recaps
- Multilingual social content
Next: ➡️ Creating Jobs →
➡️ Uploading Fonts →
➡️ Handle Webhooks →

