New AI models appear every few weeks, each claiming to be the best. For video work, "best" depends entirely on the job. This guide helps you choose an AI model for screen recording tasks by looking at what each task needs, and at the trade-offs between quality, speed, cost and privacy. We deliberately avoid rankings, because they go out of date quickly.
Start with the job, not the model
Video work with AI usually falls into three groups:
- Understanding: reading a transcript, looking at a frame, working out what happens on screen.
- Editing decisions: suggesting cuts, zooms, pacing changes or highlights.
- Writing: titles, descriptions, scripts, captions and translations.
Each group needs different strengths. A model that's brilliant at writing may not be the best at reading small text in a screenshot, and the reverse.
Five things that matter for video tasks
1. Can it see images? (vision)
To understand a screen, a model must accept images. Many modern models do, but not all. If a task involves "look at this frame", you need a vision-capable model. For pure text jobs, you don't.
2. How much can it read at once? (context window)
The context window is how much text a model can consider in one go. A long lecture transcript needs a larger window. Short jobs like titles don't.
3. How good is it in your language?
Quality in Bangla, Hindi and Arabic varies a lot between models. Some write natural Bangla; others produce stiff or misspelled text. Testing is the only reliable way to know.
4. Speed
Smaller models answer faster. When you're making many small requests, speed matters more than a slight quality gain.
5. Cost and privacy
Bigger models usually cost more per request. Local models cost nothing per request but need hardware. Free cloud tiers may use your data differently from paid ones. Read how to keep AI costs low and whether it's safe to send screen content to AI.
Matching model types to common tasks
| Task | What to look for | Size that usually works |
|---|---|---|
| Titles, hashtags, descriptions | Good writing, fast | Small |
| Summaries and chapters from a transcript | Larger context window | Small to medium |
| Describing what's on screen | Vision support, good with small text | Medium to large |
| Picking highlights for Shorts | Good judgement over long text | Medium |
| Scripts and voice-over drafts | Natural tone in your language | Medium |
| Translation of captions | Strong in both languages | Medium; test carefully |
Trade-offs by provider type
Cinematic Recorder takes your own key for two providers today, with two more on the way. Each has a different balance:
- OpenAI — a direct key to one provider's family of models. Simple billing. See OpenAI API key setup.
- Google Gemini — easy start with a Google account; many regions have a free tier with limits.
- OpenRouter (coming soon) — one key, many models from different companies. Good for testing and comparing.
- Ollama (local, coming soon) — runs on your own computer. Most private, no per-request cost, but limited by your hardware. See local AI with Ollama.
Keys are stored in Android Keystore and never sent to our servers. Details are on the features page. Your key is used for captions from speech and for cutting silent pauses; AI editing in plain words and translation are still coming soon. The rest of the editor already works with no key.
A simple way to test models yourself
- Pick one real task, such as "write 5 titles for this tutorial".
- Use the same input for every model you test.
- Try the smallest model first.
- Judge the result honestly: would you publish it with light edits?
- Note speed and cost from the provider's usage page.
- Move up only if needed. If the small model is good enough, keep it.
An example: one tutorial, three jobs
Imagine you've recorded a 15-minute Bangla tutorial on setting up an online shop page. Here's how you might split the AI work:
- Titles and description: a small, fast model. You'll check the wording yourself anyway, so there's no need to pay for more.
- Chapter list from the transcript: a model with a larger context window, so it can read all 15 minutes at once.
- English captions for a wider audience: a model that tested well in both Bangla and English, followed by your own review.
Three jobs, possibly three different models, each chosen for what it needs. That's usually cheaper and better than sending everything to the largest model.
Common mistakes when choosing
- Always picking the biggest model. It's often slower and more expensive with no visible gain for simple jobs.
- Trusting leaderboards blindly. General benchmarks don't measure your specific task or language.
- Sending images when text would do. Images cost more and reveal more.
- Never re-testing. Models improve and change. Re-check your choice every few months.
FAQ
Which is the best AI model for video editing?
There isn't one best model for every task. Match the model to the job: small and fast for writing short text, vision-capable for understanding screens, and strong in your language for captions.
Do bigger models always give better results?
Not always. For simple tasks, a small model is often just as good, and faster and cheaper.
Can I switch models later?
Yes. You can change provider or model in the app's AI settings at any time.
What if I don't want to choose at all?
You don't have to use AI. The editor works fully with AI off, including auto zoom and cursor effects. Read AI video editing explained to decide if you need it.
Choosing an AI model is less about finding the "smartest" one and more about fitting the job, your language, your budget and your privacy needs. Start small, test honestly, and change when something better fits.