First, the naming
Script-to-video and text-to-video are the same category. Some vendors say one, some the other, and a few use them for slightly different things — text-to-video occasionally implies a short prompt, script-to-video a full written script. In practice you are choosing from the same set of tools either way, so do not let the label narrow your shortlist.
What they all do: take written input and produce a video with visuals and narration, without a camera.
The six criteria that decide it
Feature lists date within months. These do not.
| Criterion | Why it decides the outcome | What to ask |
|---|---|---|
| Input fidelity | Whether your existing scripts are usable as-is | Full script, or does it want a short prompt and rewrite you? |
| Narration control | Voice is the thing viewers notice first | Can you upload your own audio, or only pick a voice? |
| Visual consistency | What makes episode twenty look like episode one | Style references, or a fresh look per scene? |
| Finishing depth | Whether you need a second tool after generation | Captions, hooks, overlays, thumbnails, audio mix included? |
| Multi-ratio output | Whether each placement is a rebuild | All ratios from one project, checked before export? |
| Asset reuse | The biggest driver of cost per video at volume | A persistent library across projects, or per-project uploads? |
Weight asset reuse heaviest. Any tool makes one decent video; what separates them at fifty is whether the fiftieth starts from the forty-ninth.
How the answer shifts by what you produce
The criteria are constant. Which one binds is not.
Agencies
Throughput and consistency across clients. What matters is a project template reusable per format, an asset library that keeps per-client brand elements separate and findable, and pricing that behaves at fifty videos a month rather than five — per-render pricing looks cheap in a trial and becomes the dominant cost at volume.
Check the handoff too: whoever reviews is usually not whoever produces, so exports have to be reviewable without a seat.
YouTubers and faceless channels
Visual consistency is the binding constraint, because a faceless channel's identity lives entirely in its look. Prioritise style references and a reusable overlay and caption set. Second priority is clip extraction, so shorts come out of the long-form project rather than a second build.
Educators and course creators
Caption accuracy above everything — subject terminology is exactly what automatic captioning gets wrong, and a misspelled technical term undermines the lesson it appears in. Then the ability to ingest existing material (slides, handouts, recordings) without a conversion step, since your first season already exists.
Repurposing and newsletters
Your input is written material that has already been edited, which is the easiest possible starting point. What matters is how faithfully the tool follows a script rather than rewriting it, and how quickly one source becomes several formats.
YouTube automation at volume
Volume magnifies everything above, and adds one of its own: output that varies. Tools that produce near-identical results from similar inputs are a liability at scale, because templated, mass-produced output is what platform policy actually targets — not the use of AI.
Where each kind of tool stops being right
- Prompt-first generators are fast and lose your script. Wrong if the wording matters — regulated claims, technical explanations, anything reviewed before publishing.
- Generation-only tools hand you a draft and no way to finish it. You will need a second app for captions, hooks and mix, which is a handoff every single video.
- General editors with a generation feature are the reverse: good finishing, weak generation. Right only if script-to-video is occasional.
- Cloud platforms start fastest and slow down on large media and long libraries.
- Desktop suites are heavier to set up and better at volume, though they tie you to a machine and an operating system. Desktop AI video software covers that trade.
Where Shorz fits, and where it does not
Shorz is a desktop suite for Windows and Apple Silicon Macs: script-to-video alongside auto-edit, avatar and podcast project types, with captions, hook overlays, thumbnails and multi-ratio preview in the same project, plus a reusable local asset library across projects.
Good fit for continuous production where the fifth video should cost less than the first, for keeping generation and finishing in one place, and for keeping source media on machines you control.
Wrong fit on Linux or an Intel Mac — it runs on Windows and Apple Silicon Macs only. Wrong if you need one video occasionally, where a browser tool finishes before the install does. And it does not do real-time multi-user editing; production is local and review happens on exports.
How to run the evaluation
Do not trial on a sample script. Take a real video you already owe someone and produce it end to end in each candidate — your script in, publish-ready file out, every ratio you actually use.
Then produce the second one and time that. The first run measures how quickly you learn an interface; the second measures what the tool will cost you every week.
Three questions to answer while you are in there: what did I have to leave the tool to do, what would the tenth video cost, and does my script survive intact.
FAQ
Q: Is script-to-video different from text-to-video? A: Not meaningfully as a category. Some tools use "text-to-video" for short prompts and "script-to-video" for full scripts, but you are shopping the same market.
Q: Can I use my own voice? A: In most tools, by uploading narration audio. If keeping your voice matters, confirm it before trialling — some are generation-only.
Q: Will it follow my script exactly? A: Varies more than any other factor. Prompt-first tools rewrite; script-first tools do not. Test with a script where the wording genuinely matters.
Q: Do I still need an editor afterwards? A: Only if the tool stops at generation, which is what the finishing-depth criterion is for.
Q: What does it cost at volume? A: Check how pricing scales, not the headline. Per-render and per-minute pricing are the ones that surprise people at fifty videos a month.
Related
- Script to video · Text to video — what the category is and how it works
- What makes a good AI video editor — the wider tooling criteria
- Desktop AI video software — local versus cloud
- The AI video editing workflow — the production loop
- Script-to-video vs templates · vs short-form editors
Free tools for this
AI Voice Generator · AI Video Generator · Auto Subtitle Generator
Try it: Shorz script to video