SubMagic alternative · pricing as of July 2026
A SubMagic alternative where long-form clipping is not a paid add-on
SubMagic is a captioning tool first. Its Starter plan is $19 a month for 15 videos, and each one may be no longer than two minutes — which is fine for captioning clips you already cut, and useless for a 45-minute podcast. Turning long-form video into shorts is sold separately, as a $19/mo Magic Clips add-on. With AI Clip Cutter, finding the clips is the product, the captions come with it, and you pay in rupees for the minutes you actually process.
- SubMagic Starter
- $19 / mo
- Starter length cap
- 2 min
- Their clips add-on
- +$19 / mo
- Our clips add-on
- None
AI Clip Cutter vs SubMagic, feature by feature
SubMagic figures are from its published pricing page as of July 2026. Rupee conversions are at roughly ₹88 to the dollar and are for scale only — the amount that actually lands on your statement also includes your bank's forex markup and, on most Indian cards, an international transaction fee.
| AI Clip Cutter | SubMagic (July 2026) | |
|---|---|---|
| Billing currency | INR. Razorpay Checkout — UPI, Indian debit and credit cards, net banking, wallets. | USD only. No INR pricing, so you pay conversion plus any international card fee. |
| Pricing model | One-off credit packs. Buy once, use whenever. Nothing auto-renews. | Monthly subscription: Starter $19/mo, Pro $39/mo, Business $69/mo. |
| Included volume | 1 credit per minute of source analysed, plus 1 credit per clip exported. A 45-minute podcast costs 45 credits to analyse and 1 credit per clip you keep. | Starter 15 videos/month, Pro 40 videos/month. Counted as output videos, not source minutes. |
| Source length cap | No per-plan cap. 1 GB per upload, and long audio is chunked and stitched back onto one timeline, so a two-hour interview is fine. | 2 minutes per video on Starter, 5 minutes on Pro. |
| Long-form → clips | The whole product, not an add-on. | A separate Magic Clips add-on at $19/mo on top of your plan. |
| Do unused credits expire? | No. There is no expiry on a credit balance — a month you do not upload costs you nothing. | Monthly quota resets; nothing rolls over. |
| Free tier | 10 credits when you sign up, on the same unwatermarked pipeline as paid credits. | — |
| Watermark | None, on any plan. There is no watermarking or branding overlay anywhere in the render pipeline. | — |
| Caption styles | 8 named animated presets — Hormozi, Beast, Karaoke, Minimal, Boxed, Neon, Podcast, Bounce — each anchorable bottom, centre, or top, switchable per clip and re-exportable. | Captioning is their core product, with a large and actively expanded template library. |
| Export formats | 1080×1920 (9:16, blurred zoomed background), 1080×1920 (9:16, centre-crop), 1080×1080 (1:1), and Original at source size. H.264 MP4, AAC 128 kbps, faststart. No 4K path. | Social ratios; 4K advertised on Business. |
| Why this clip? | Every selected clip comes back with a plain-English reason from the model, plus its scores, so you can disagree and override the boundaries before exporting. | Clip selection is part of the Magic Clips add-on rather than the base plan. |
The INR argument
Where the money actually goes
This is the whole wedge, so it is worth being concrete rather than sloganeering about it.
The conversion tax
A dollar subscription is charged in dollars. Most Indian cards add a 2–3.5% forex markup, and many add a flat international transaction fee on top. You are paying a premium for the privilege of being billed in the wrong currency, every month, forever.
The idle-month tax
Podcast publishing is lumpy. A subscription with a monthly reset charges you the same in a month you shipped nothing as in a month you shipped twelve episodes. Credit packs that do not expire simply do not have this failure mode.
The payment-method tax
Razorpay Checkout takes UPI, RuPay, net banking, and wallets. No international card needed, no recurring-mandate friction with your bank, and the amount on your statement is the number you saw on the pricing page.
No black box
How our clip selection works
If a tool is going to choose what your audience sees, you should be able to see how it chose. Here is the whole pipeline, in order.
1. Word-level transcription
Whisper transcribes your upload with a timestamp on every individual word, not just every sentence. Everything downstream depends on that precision — captions land on the word, and clip boundaries land between words rather than mid-syllable. Long audio is chunked automatically and stitched back onto one timeline, so a two-hour interview is fine.
2. Deterministic candidate windows
The transcript is cut into 18–75 second candidate windows locally, with no model involved. A window may only start after a sentence ending or a pause of at least 0.55 seconds, and prefers to end on terminal punctuation. Up to 48 candidates are kept, thinned evenly across the timeline so a 90-minute video is judged as a whole rather than only its first ten minutes.
3. Scoring on four axes
An LLM scores each candidate 0–10 on information density, emotional tone, how self-contained it is, and hook potential. The composite weights what decides survival in the first two seconds: 30% hook, 25% self-contained, 25% density, 20% emotion. Filler, cross-talk, and sponsor reads are explicitly penalised.
4. Selection you can argue with
The model picks the best non-overlapping set and returns a plain-English reason per clip, which the studio shows you. Guardrails catch the failure modes: boundary adjustments beyond 2.5 seconds are rejected, picks outside 18–75 seconds revert, clips overlapping by more than 25% are dropped, and if the selection call fails entirely it falls back to score order rather than failing your job.
5. Cut and reframed
FFmpeg cuts each clip with a 0.75-second buffer either side so the first and last words are never clipped. The default 9:16 preset fills the frame with a blurred, zoomed copy of your video and centres the untouched footage on top — which means, unlike a centre-crop, it can never crop your speaker out of frame.
6. Captions burned in per word
Captions are generated locally from the word timestamps — no model call, so no drift. The renderer emits one subtitle event per word state, giving frame-exact control over the colour and scale of the word currently being spoken. Change the preset and the caption grouping regenerates, because a 3-word Hormozi line and a 6-word podcast line need different chunking.
Straight answer
Where SubMagic is better than us
Four places we would tell you to pick SubMagic
Caption styling depth. Captions are their whole product and they have iterated on them longer. We give you exactly eight presets — you can pick one and anchor it top, centre, or bottom, but you cannot build your own style, edit a font, or save a brand kit. If caption design is the thing you care most about, they have more surface than we do.
Short videos you have already cut. If your input is a 90-second clip that just needs subtitles, our model is the wrong shape: you would pay to analyse a video that does not need finding. Their per-video quota fits that job better.
4K output, and more editing. SubMagic advertises 4K on its Business tier; our reframed exports are 1080 on the long edge, full stop. We also have no face tracking, no zooms, no transitions, no b-roll, and no speaker diarisation.
Non-English work, honestly. Whisper transcribes many languages and our captions are built from those word timestamps, so Hindi captions are accurate. But our clip-scoring and hook prompts are written in English and behave best on English speech, and the caption presets list Latin display faces first, so Devanagari falls back to a system font. If your content is not English-first, weigh that.
And one thing that is a real tie: both tools read your video through a transcript, so neither understands anything visual. Neither will find the good moment in a silent screen recording.
Decision
So which one should you actually use?
Pick AI Clip Cutter if…
- Your source is long — a podcast, interview, or webinar — not a two-minute clip.
- You do not want to pay a second subscription to get long-form clipping at all.
- You are billed in India and want to pay by UPI in rupees.
- You publish unevenly and want credits that sit in your account until you use them.
- You want to see the model's reason for each clip and override the boundaries.
Pick SubMagic if…
- You already have your clips and only need captions on them.
- Caption design is your priority and eight fixed presets are not enough.
- You need 4K exports.
- You are not paying from India.
- Your content is not English-first and clip selection quality matters more than captions.
Turn one long video into clips before you decide anything
10 credits on signup — enough for a ten-minute source video and an exported clip, with no watermark, no card on file, and no subscription to cancel. Upload a podcast, an interview, a webinar, or a YouTube video and see what it picks.