The AI Video Editor Tax
Zero cleanup. Publish-ready on the first pass.
Every other AI editor hands back the filler
and dead air it missed — and you pay in manual cleanup. We ran eight of them through
identical footage to prove the difference.
publish
1-hour footage
per clip
90-second clip
accuracy
scripted video
8 editors tested · identical footage · raw SRT/JSON published
The hidden cost
AI editing isn’t free. You pay in cleanup.
Transcript editors cut from text, not sound, so they miss cuts. Every miss is a manual fix on your timeline. Here is what that costs on one hour of footage:
Minutes spent fixing the AI’s misses
1 hour of footage · default automation · verified by JSONLoom has no timeline editor — the 448–684 filler words and up to 229s of dead air the others leave behind, Loom ships in your final video.
Every number above comes from a published test — see the full data →
The full data
Every test. Every number.
Identical footage, default settings, no manual edits. Raw data published for each test.
90 seconds of raw footage
A 93-second clip full of pauses and filler. Tighter output means less hand-fixing. TimeBolt cut it to 14 seconds, clean.
| Tool | Output | Silence missed | Fillers missed | Cleanup time |
|---|---|---|---|---|
| TimeBolt✓ | 14s | 0s | 0 | 0 min |
| Recut | 19s | — | 6 words | manual* |
| Gling | 21s | 16s | 13 words | ≈10.7 min |
| Descript | 22s | 15s | 11 words | ≈4–5 min |
| Premiere | 37s | 13s | 15 words | ~1.7 min |
| CapCut | 41s | 15s | 10 words | ~1.9 min |
| Loom | 65s | 36s | 4 words | Can’t fix |
*Recut leaves 6 fillers to cut by hand. BlitzCut (iOS-only) only “matches” by over-cutting real speech, and fails on anything over ~15 min. Loom can’t fix its misses at all.
One hour of raw footage
On an hour of footage, small misses become hours of repair — total time to a publish-ready cut. TimeBolt finished in 40 minutes, no rework.
| Tool | Silence missed | Fillers missed | Review (min) | Fix (min) | Total time to fix |
|---|---|---|---|---|---|
| TimeBolt✓ | 0s | 0 | 40.0 | 0.0 | 40.0 min |
| Recut | — | 934 | ~48 | 31–47 | ~79–95 min* |
| Descript | 171s | 448 | 47.9 | 52.0 | 99.9 min |
| CapCut | 229s | 489 | 46.7 | 59.8 | 106.5 min |
| Premiere | 103s | 684 | 48.8 | 65.6 | 114.4 min |
| Gling | 70s | 607 | 46.3 | 174.4 | 220.7 min |
| BlitzCut | — | — | — | — | Failed 3× |
| Loom | — | — | 57.8 | Not able | Can’t fix |
Total = review + repair. *Recut estimate: ~48 min to find all 934 fillers + ~31–47 min to cut them in an NLE at 2–3s each. BlitzCut froze at 95% three times. Loom left 15:30 of waste it can’t remove.
Cutting retakes without cutting meaning
The hardest job in auto-editing: kill the restarts, keep every real word. Scored on four scripted datasets. Only TimeBolt, Gling and Descript can do it at all.
| Tool | Safety score | Cleanliness score | F1 score (overall) |
|---|---|---|---|
| TimeBolt✓ | 96.8% | 85.5% | 90.6% |
| Gling | 96.7% | 77.5% | 85.4% |
| Descript | 97.1% | 71.4% | 80.4% |
Safety = keeps real words (recall). Cleanliness = removes redundant takes (precision). F1 balances both. The other five tools can’t detect bad takes.
The full data
Every test. Every number.
Identical footage, default settings, no manual edits. Raw data published for each test.
90 seconds of raw footage
A 93-second clip full of pauses and filler. Tighter output means less hand-fixing. TimeBolt cut it to 14 seconds, clean.
| Tool | Output | Silence missed | Fillers missed | Cleanup time |
|---|---|---|---|---|
| TimeBolt✓ | 14s | 0s | 0 | 0 min |
| Recut | 19s | — | 6 words | manual* |
| Gling | 21s | 16s | 13 words | ≈10.7 min |
| Descript | 22s | 15s | 11 words | ≈4–5 min |
| Premiere | 37s | 13s | 15 words | ~1.7 min |
| CapCut | 41s | 15s | 10 words | ~1.9 min |
| Loom | 65s | 36s | 4 words | Can’t fix |
*Recut leaves 6 fillers to cut by hand. BlitzCut (iOS-only) only “matches” by over-cutting real speech, and fails on anything over ~15 min. Loom can’t fix its misses at all.
One hour of raw footage
On an hour of footage, small misses become hours of repair — total time to a publish-ready cut. TimeBolt finished in 40 minutes, no rework.
| Tool | Silence missed | Fillers missed | Review (min) | Fix (min) | Total time to fix |
|---|---|---|---|---|---|
| TimeBolt✓ | 0s | 0 | 40.0 | 0.0 | 40.0 min |
| Recut | — | 934 | ~48 | 31–47 | ~79–95 min* |
| Descript | 171s | 448 | 47.9 | 52.0 | 99.9 min |
| CapCut | 229s | 489 | 46.7 | 59.8 | 106.5 min |
| Premiere | 103s | 684 | 48.8 | 65.6 | 114.4 min |
| Gling | 70s | 607 | 46.3 | 174.4 | 220.7 min |
| BlitzCut | — | — | — | — | Failed 3× |
| Loom | — | — | 57.8 | Not able | Can’t fix |
Total = review + repair. *Recut estimate: ~48 min to find all 934 fillers + ~31–47 min to cut them in an NLE at 2–3s each. BlitzCut froze at 95% three times. Loom left 15:30 of waste it can’t remove.
Cutting retakes without cutting meaning
The hardest job in auto-editing: kill the restarts, keep every real word. Scored on four scripted datasets. Only TimeBolt, Gling and Descript can do it at all.
| Tool | Safety score | Cleanliness score | F1 score (overall) |
|---|---|---|---|
| TimeBolt✓ | 96.8% | 85.5% | 90.6% |
| Gling | 96.7% | 77.5% | 85.4% |
| Descript | 97.1% | 71.4% | 80.4% |
Safety = keeps real words (recall). Cleanliness = removes redundant takes (precision). F1 balances both. The other five tools can’t detect bad takes.
Stop hand-fixing what the AI missed. Let TimeBolt finish the job.
Mac & Windows · Free to download · No credit card
Why it works
Transcript tools guess. Silence tools stop short. TimeBolt does both.
Transcript tools cut from text tokens and drift — clipping words, leaving gaps. Silence-only tools like Recut read the waveform but stop at silence, leaving every filler (934 in our hour test). TimeBolt reads the waveform and layers filler and bad-take detection on the same signal — both jobs, no guessing.
Why waveform cuts win
- Waveforms are a physical signal. Like GPS, nothing is more accurate.
- Straight to the audio — no drift, no low-confidence guesses.
- The boundary is unambiguous: silence ends where the signal rises.
- You set the padding, so the cadence stays natural, not robotic.
See it in action
When YouTuber Excelerator hit the bad-data wall in Descript, the waveform was the fix.
And when you want AI on top
UMCheck adds token-awareness as an optional, on-device layer — catch a specific “you know” on command. The waveform still dictates the cut. AI on top, signal underneath.
How we tested
Run it yourself. We published everything.
Identical files, default automation, no manual edits — every result re-verified from raw JSON. Reproduce any number here.
How every test was run
The published studies
Short-Form Accuracy Test
93-second clip vs Descript, Gling & Loom.
Read the study →Long-Form Accuracy Test
60-minute recording vs Descript, Gling & Loom.
Read the study →Premiere & CapCut Benchmark
Short + long form vs the traditional NLEs.
Read the study →Bad-Take Removal Test
Four scripted datasets vs Gling & Descript.
Read the study →Speed vs Silence-Only Tools
TimeBolt vs Recut & BlitzCut — why fast processing isn’t a fast edit.
Read the study →Full Methodology & Files
Test files, settings and raw results to run it yourself.
Get the files →Different results? We want to see them. Download the files and run it yourself.
After automation
The heavy lifting is done. Polishing is just as fast.
The benchmarks are what TimeBolt does before you touch the timeline. When you do want to polish, four power keys — USOB — let you edit at the speed of playback.
while you cut
and-click text
mouse
Roll a cut back to recover frames — no re-trimming.
Slice at the playhead in one keystroke.
Drop a scene out, or back in, instantly.
Trim backward without leaving the keyboard.
Stop paying the AI editor tax.
A publish-ready cut on the first pass — zero cleanup, on Mac or Windows.
Download TimeBoltMac & Windows · Free to download · No credit card required
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