Which AI Video Upscaler is Best?
As AI filmmakers push for theatrical or broadcast resolution, comparing upscaling tools like Topaz Astra and Crystal provides essential workflow data for turning soft outputs into production-ready 4K assets.
What this lesson covers
This video compares top AI video upscalers, specifically Topaz Astra and Crystal. It evaluates their performance on AI-generated clips and archival footage to determine which delivers professional 4K quality.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:50 ↗
Topaz Astra and Crystal are the two primary AI video uprezzers currently being discussed for introducing high-resolution details into low-res frames.
- 2:53 ↗
Crystal can be accessed easily through fal.ai as an online aggregator, charging about $1.40 for every 4 seconds of video from HD to 4K.
- 4:02 ↗
Topaz Astra requires local or dedicated rendering time, taking about 30 minutes per clip while costing roughly 10 cents per second.
- 4:43 ↗
Testing shows Topaz Astra often yields more natural, highly detailed results compared to Crystal's tendency toward heavy sharpening on certain Kling-generated clips.
Workflow outlined in the video
- Download the sample assets provided in the tutorial description to test the upscalers yourself.
- Upload your base video footage into fal.ai to run initial tests using the Crystal video upscaler.
- Test Topaz Astra with your reference video clips, selecting the Starlight Precise model for 4K output.
- Compare the processing times, costs, and final visual quality of both tools against your specific project needs.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
63,668 views captured 23 October 2026. ReelStack recommendation score: 43/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.43× views vs 8 other channel videos observed at a similar age. View-evidence factor 98% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 194 views/day vs 68 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 28/100; likes + 4× comments, smoothed with a 500-view neutral prior