
Async vs Runway ML
Features, pricing and Editor Score side by side — to help you pick the right video & audio tool in 2026.
Quick verdict
On our Editor Score, Async and Runway ML land almost level. Pick Async if you want conversational editing that removes filler, pauses, repeats and bad takes; choose Runway ML for gen-4.5 for text-to-video and image-to-video generation. On pricing, both ship a free or freemium tier, so you can try each before paying.
Async vs Runway ML at a Glance
| Pricing | Freemium | Freemium |
| Free tier | ||
| Best for | conversational editing that removes filler, pauses, repeats and bad takes | gen-4.5 for text-to-video and image-to-video generation |
Async
Async is the platform formerly known as Podcastle, rebranded in January 2026. It edits video and audio through conversational prompts: removing filler and bad takes, cleaning audio with Magic Dust, generating B-roll, dubbing, lipsync and voice cloning, across Async Studio and Async API.
- The rebrand preserved accounts, projects, pricing and billing rather than breaking them
- Conversational editing is genuinely faster for coarse work and open to non-editors
- Years of speech heritage show in the audio tooling, which is where most video fails
- Studio and API let the same models serve creators and developers
- Anyone arriving from an old bookmark or tutorial is looking for a product that no longer exists by that name
- Chat is the wrong interface for frame-accurate or aesthetic edits
- A podcaster who wanted a podcast tool now owns a broader platform
Runway ML
Runway is an AI video platform built around generative world models — Gen-4.5, Aleph 2.0, and Act-Two for performance capture — split across Runway Creative for filmmakers, Runway Dev for builders, and Runway Robotics.
- Most complete AI video toolset for genuine production work
- Aleph transforms real footage, which gives far more control than pure generation
- Act-Two solves the uncanny performance problem better than prompt-driven acting
- Characters and Workflows make multi-shot sequences realistic to attempt
- Clips remain short, so longer pieces must be assembled and matched
- Control is coarse — directing a specific result takes many attempts
- Hands, on-screen text, and complex physical interaction still fail visibly
Which Should You Choose?
Choose Async if…
- you want conversational editing that removes filler, pauses, repeats and bad takes
- a free or freemium plan is important
Choose Runway ML if…
- you want gen-4.5 for text-to-video and image-to-video generation
- a free or freemium plan is important
Async vs Runway ML: The Verdict
Your use case decides this one: Async leans into conversational editing that removes filler, pauses, repeats and bad takes, while Runway ML is built for gen-4.5 for text-to-video and image-to-video generation. Weigh features and pricing for your workflow. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Frequently Asked Questions
Is Async better than Runway ML?
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
What is the difference between Async and Runway ML?
Async (freemium) is best for conversational editing that removes filler, pauses, repeats and bad takes, while Runway ML (freemium) is best for gen-4.5 for text-to-video and image-to-video generation. See the full feature and pricing comparison above.
Is Async or Runway ML cheaper?
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Which is better for beginners, Async or Runway ML?
Async is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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About the Authors
AI Tools Comparison Analyst
Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.
Senior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Keep exploring
Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.