V2 Complete · Developer Tool · Python CLI

Talking-Head Footage
→ Viral 9:16
Automatically.

A Python CLI that turns raw talking-head video into vertical clips, with face tracking, punch zoom, word-level captions and loudness-normalised audio, in one command.

See How It Works View Features
Illustrative output, not a recorded run
$ clip-trimmer input.mp4 --output clip.mp4 --verbose
Audio extracted — 00:04:12
Speech segments detected — 94% speech ratio
Whisper transcript — 847 words, word-level timestamps
Face detected — tracking 1 subject
Crop plan — 9:16 face-centred, 3 punch zones
Captions built — 214 groups, active-word highlight
Segments rendered — 14 segments, loudnorm pass
Done — clip.mp4 (00:03:58) in 47.2s
TDD
Test-driven dev
V2
Current version
9:16
Output format
1 cmd
To run
The Pipeline

One Command.
Six Stages.

Every step is deterministic, testable in isolation, and configurable via CLI flags.

01 / AUDIO

Extract & Detect Speech

WebRTC VAD strips silence. Only real speech regions go forward.
02 / TRANSCRIPT

Word-Level Timestamps

OpenAI Whisper produces per-word timestamps with model caching.
03 / FACE

Face Tracking

Detects and tracks the main subject for a face-centred 9:16 crop.
04 / EDIT

Crop & Punch Zoom Plan

Per-segment scale→crop pipeline with slow-zoom for engagement.
05 / CAPTIONS

ASS Caption Burn

Captions in groups of 3–5 words, the spoken word highlighted, burned into the output.
06 / RENDER

FFmpeg Render & Loudnorm

Segments rendered and concatenated. Audio normalised to broadcast standard.
What's In V2

Built for Reliability.

Face-Centred Crop

Automatically centres the 9:16 crop on the detected face. Falls back to centre crop when no face is present.

Punch Zoom

Adds slow-zoom punch-in effects at strategic moments to increase retention without looking artificial.

ASS Captions with Highlight

Word-level timestamps from Whisper drive 3–5 word caption groups with an active-word highlight that tracks speech.

Silence Removal

WebRTC VAD detects and cuts silent sections. --silence-gap flag controls the minimum gap to cut.

Loudnorm Audio

EBU R128 loudness normalisation applied per-segment and on the final output. Consistent audio across all clips.

Test-driven, CI/CD

Unit tests cover every module. Automated CI runs on every push. Zero suppressed warnings.

Tech Stack

Built on Proven Tools.

Python
CLI · core pipeline
Whisper
Word-level transcription
WebRTC VAD
Speech detection
FFmpeg
Video render + loudnorm
OpenCV
Face detection + tracking
Automated testing
Tests · linting · CI
Build Status

V2 Complete.

All V2 modules are shipped. V3 (smart tracking, AI-guided cuts) is on the roadmap.

Core pipeline (audio → render) V2 Complete
Whisper word-level timestamps V2 Complete
Face tracking crop V2 Complete
ASS captions + active word highlight V2 Complete
55 unit tests + CI/CD V2 Complete
End-to-end validation on production clipsIn progress
E2E test on real clips→ In Progress
V3 — Smart tracking, AI-guided cutsRoadmap
Verifiable, Not Claimed

Security Posture, Measured Live

A tool that touches your video files has to answer this before it asks for them. Here is what this origin actually does, read out of the page you are reading right now by your own browser. Open devtools and check any line of it.

Third-party origins loaded
0
No fonts, analytics or tag manager loaded from another host
Cookies set
0
No consent banner, because there is nothing to consent to
Browser storage entries
0
Nothing written to localStorage or sessionStorage
Content Security Policy
default-src 'self'
No unsafe-inline, no unsafe-eval, no external origin permitted
HTTPS enforcement
2-year
Strict-Transport-Security with includeSubDomains
Capabilities denied
9
Camera, microphone, geolocation, payment, USB and ad-topics APIs

The values above are the ones we ship. With JavaScript enabled they are replaced by what your own browser actually observed, measured at —. A row turns red if reality disagrees with us.

Who we are, on the record · How we build it ↗

Get in Touch

Contact

Questions, feedback or integration requests: write to us.

contact@lpagesapplabs.com