Everything Vocal Nest can do

From first kind word to published proof.

Collection linkvocalnest.co/r/acme
MKMaya KapoorHead of Ops · Northwind▶ 0:38
★★★★★

“Onboarding took ten minutes and the whole team was live the same afternoon. The smoothest rollout we’ve ever run.”

3 new testimonials this weekCopy link
Inbox · 24All sources
LFLiam FosterWebsite form★★★★★Approved
PNPriya NairEmail request★★★★★New
SCThe Studio Co.Video · 0:52★★★★★Approved
DRDevin RossImported from X★★★★★New
Wall of LoveEmbedded · acme.com
★★★★★

“Doubled our demo conversions in a month.”

RTRosa T.
★★★★★

“Support replies in minutes, every time.”

JMJon M.
★★★★★

“The cleanest tool my team actually enjoys.”

ALAria L.
★★★★★

“Set up our wall in one afternoon. Magic.”

BOBen O.
Share a rave1080 × 1080
★★★★★

“Easily the best buying experience we’ve had.”

RTRosa Tran, Acme
XPost to XQuote card
inLinkedInQuote card
IGInstagramStory

Collect

Send one branded link and gather video or written testimonials — no logins and no friction for your customers.

Explore Collect
The Nest Studio

No designer. No editor. No problem.

A raw selfie video becomes a polished, captioned, on-brand 9:16 film — word-accurate captions, auto-trimmed cuts, and a one-click branded render, all without anyone opening an editing app.

Captions & cutting, automatic

A blade-tool timeline that keeps captions glued

Make frame-accurate cuts anywhere in the clip — and word-level Whisper transcription keeps every caption glued through each trim, so the words never drift out of sync. Silence-aware sync and automatic filler-word cleanup tidy the “ums” and dead pauses for you.

  • Word-level captions with silence-aware sync
  • Automatic filler-word cleanup — “ums” and dead air tidied
  • Frame-accurate blade cuts; captions stay perfectly in sync
It completely changed everything
Timeline2 cuts

Captions stay glued through every cut

Editing done before you look

An auto-tightened first cut, waiting for you

A first-draft cut arrives already trimmed — dead air shaved off the front and back — so you start from a clean, watchable take instead of raw footage. Transcription is warmed the moment a response is submitted, so the words are already waiting; you never sit watching a spinner.

  • Dead air shaved off the head and tail automatically
  • Captions ready before you open it — no spinner
  • Fully editable if you want the final say
Auto-tightened cut
ready on submit
Raw take0:41
dead airtrailing pause
First cut0:28

Fully editable — you keep the final say

One click to a finished film

Press render; watch a branded film build itself

Press render and dedicated cloud infrastructure assembles the whole thing: an animated intro, your logos and palette, question cards, word-by-word caption pills, and a custom end-card — a finished 9:16 video, no editing app required. A live, self-healing progress view shows exactly where it’s up to.

  • Animated intro, brand palette, caption pills & end-card
  • Live, self-healing progress — no guessing, no refreshing
  • A finished 9:16 video, no editing app required
Render
rendering
0%assembling your film…
Animated intro
Brand colours & logo
Caption pills synced
Custom end-card
Final video ready
Download MP4
A thumbnail that sells the story

It leads with a genuine smile — not a mid-blink frame

An on-device AI smile-picker leads each testimonial with a real smile instead of a mid-blink frame, so your thumbnails sell the story at zero API cost. AI sentiment tinting and cross-response Nest Insights surface the strongest moments, with NZ-English spelling out of the box and a te-reo-Māori-ready transcription path.

  • On-device smile-picker — zero API cost
  • Sentiment tinting & cross-response Nest Insights
  • NZ-English spelling, te-reo-Māori-ready transcription
Thumbnail pickeron-device
mid-blink
genuine smile
Sentiment tinting
NZ-English spelling

Picked on-device with TensorFlow.js — no cloud vision API, no per-use cost.

Under the hood

Blade cuts are physically reproduced at render — each kept range trimmed and stream-copy concatenated, verified frame- and sample-accurate, with a fallback so renders never hard-fail.

Renders retry only the render step on a known startup flake, while real errors fail fast.

The render worker is the source of truth — it writes the final video URL itself, so a dropped tab mid-render still delivers your film.

The smile-thumbnail runs entirely on-device with TensorFlow.js — no cloud vision API, no per-use cost.

Your customers record. We produce.

Collect a story and watch it come back as a finished, on-brand film.