A finished video asset rarely comes from one tool. It’s usually an AI video generator for motion, a voice tool for narration, and sometimes a music generator layered on top. Each one handles a piece the others can’t. In our first post, we covered how our AI Exploration Team picks between image tools for concept work. This time, we’re covering the tools we reach for when a project needs to move: AI video generation, voice-over, and original music.
Every tool here is scored on a simple five-star scale. The scale is based on hands-on use at SketchDeck, not the demo reel.
Runway ML — ★★★★☆
Our Default for Production Video
Runway is where most of our AI video work starts. Its Gen-3 and Gen-4 models produce results that hold up in client-grade contexts more often than not. The motion brush and image-to-video tools give us actual creative control over how a shot moves, rather than leaving it to chance.
The tradeoff is consistency. Credits burn fast on heavy use, and quality can shift from one shot to the next. We plan for multiple takes per usable clip rather than expecting a single generation to land. We also brief clients realistically going in, since Runway’s own demo reels tend to oversell how consistent the output will be.
Bottom line: Our default for AI video work.
Veo (Google) — ★★★☆☆
Worth Comparing, Not Worth Relying On
Veo handles physics and motion realism well in specific scene types. It’s also easy to access through an existing Google account via AI Studio or aggregators like Krea.
In practice, though, it’s currently a step behind Runway and Kling on most creative video work. It also offers less direct control than Runway’s motion brush and image-to-video tools.
Bottom line: Worth an occasional comparison run, but Runway stays our production tool for AI video work.
Higgsfield — ★★★★★
One Subscription, Several Engines
Higgsfield aggregates multiple image and video models under a single subscription. Its camera control presets are strong enough to read like real cinematography rather than generic AI motion. The platform adds new features often and has kept pace well.
Output quality depends on which underlying model handles a given generation. That makes Higgsfield somewhat less predictable than going directly to a single model.
Bottom line: Our top pick for a multi-model image and video tool.
Higgsfield Supercomputer — ★★☆☆☆
Fast Turnaround, Not Built for Craft
This is Higgsfield’s agentic layer. Describe the output you want, and it orchestrates multiple models to produce finished assets without manual switching. Memory persists across sessions, and for high-volume, conventional-format content, that speed is genuinely useful.
Quality gets uneven fast once a project moves away from conventional formats. Bespoke or craft-heavy work needs more hands-on control than this tool currently offers.
Bottom line: Worth evaluating for high-volume social and ad work, not for craft-heavy projects.
ElevenLabs — ★★★★★
Studio-Quality Voice Without the Studio Cost
ElevenLabs is our default for voice-over work. Voice quality is as strong as anything we’ve tested. Multilingual coverage is broad, and voice cloning holds up well for narrator continuity across a multi-part project.
Emotional range is real, though not unlimited. Brand names and uncommon proper nouns usually need a phonetic workaround to pronounce correctly. We keep this tool on shared SketchDeck seats rather than opening it up broadly.
Bottom line: Our default for voice-over without studio cost.
Suno — ★★★★☆
Original Music When Stock Doesn’t Fit
Sometimes a project needs a piece of music that doesn’t exist in a stock library, and a composer isn’t in scope or budget. Suno fills that gap. It generates full songs, not just loops, from a short prompt. Style range is wide and iteration is fast.
Licensing terms vary by project and need checking before delivery. Mix quality is solid but not mastered-album-grade, and lyric quality is inconsistent.
Bottom line: A real option for bespoke music on a budget, once usage rights are confirmed.
What This Round of Testing Told Us
Six tools, three jobs. Runway handles the shot itself, and Veo gives us a second opinion when we want one. Higgsfield steps in when a project calls for more camera control or a different underlying model. Higgsfield Supercomputer covers volume over craft. ElevenLabs covers voice, and Suno covers original music. Building a finished AI video asset usually means stitching a few of these tools together, not picking just one. Next up in the series: the AI tools our designers use early in the process, inside the design workflow itself.
Partner with SketchDeck
Every tool in this post handles one part of a finished asset well. None of them handle the whole thing alone, which is exactly why our team still directs how they fit together.
Want to see what that looks like for your next project? Let’s talk.
