Vizard Agent

How to turn a recorded talk into a motion-graphics piece

Last updated 2026-08-24 · 7 min read

Upload the recording and tell Vizard Agent the visual style. Vizard Agent transcribes the talk, cuts the narration down while snapping every join to a clean word boundary, builds a motion card for each point, and finds the brand mentions in the audio to give them their own beat.

What is the short version?

A recorded talk contains a good structure buried in a long delivery. Turning it into motion graphics means shortening the narration without leaving audible seams, then giving every point on screen a card rather than a stock photograph.

  1. Go to Vizard Agent and upload the recording.
  2. Say the visual style and the length.
  3. Say if there are moments that need their own card.

What do you need before you start?

The recording and a style word. Vizard Agent works from audio alone, so no video is needed and no slides either. Naming the style is what governs the card design, the background and the pacing, and one word does that job well.

What do you type into Vizard Agent?

Name the style and let the transcript decide the structure. Vizard Agent reads the recording and finds its own sections, so you rarely need to outline the talk, and the style word is doing most of the visual briefing on its own.

Prompt

Turn this recording into a short motion-graphics piece — [clean tech] style. Around [2] minutes, vertical, with captions.

Variants worth knowing:

What does Vizard Agent actually do?

Here is the order Vizard Agent worked in on a real talk conversion. The step that decides whether it sounds professional is early and invisible: every cut in the shortened narration was snapped to a clean word boundary before anything was rendered.

  1. Inspects and measures the uploaded audio, then transcribes the whole recording.
  2. Reads the key sections of the transcript and lists exact timestamps for each part.
  3. Splices the narration down and measures the result's loudness.
  4. Rebuilds the timeline map and re-measures after each change.
  5. Inspects the word-timing data and snaps every cut to a clean word boundary, then re-cuts the narration.
  6. Generates the music bed and listens back to the spliced narration against it.
  7. Renders the background and the motion cards in three waves, checking why one card failed and re-rendering it.
  8. Generates captions and accent sounds, then checks the voice track's true peak and fixes the limiter settings.
  9. Reviews both halves of the cut, replaces a card that read wrong, then locates every brand mention in the original audio, renders brand cards for them and rebuilds the narration with a brand beat at the end.

Step 5 is what separates this from a rough edit. A narration cut mid-word or mid-breath is audible even when the sentences either side are fine, and snapping the joins to word boundaries removes that entirely.

What does the result look like?

From the run this page is written from, probed on the delivered file: 1080x1920, H.264, 30fps, 128.43 seconds, AAC audio. Vertical, two minutes and eight seconds, motion cards for every point over a generated background, with captions, accent sounds and a closing brand section built from the speaker's own words.

Two minutes is long for vertical and correct for a structured talk. Vizard Agent gives each step of the argument its own card and its own beat, which is why the piece stays followable rather than becoming a wall of text.

When does this not work well?

This format turns a spoken talk into slides that move, which suits some material well and flattens other material badly. Vizard Agent builds every card from what was actually said in the recording, and that recording sets the ceiling on the whole piece.

How do you fix a result that came back wrong?

Name the card or the line. Vizard Agent keeps the full transcript, the word timings, the spliced narration, every rendered card and the loudness measurements, so replacing a card or restoring a cut line is a re-render rather than a rebuild.

How does Vizard Agent compare to doing it yourself?

By hand this means editing an audio recording down in a waveform editor, where every cut is a judgement about where a word ends, and then building twenty cards in a design tool to match. The joins are the part that gives it away, because a cut a few frames inside a word is inaudible to the person who made it and obvious to everyone else.

By hand Vizard Agent
Shortening the narration Cut on the waveform by eye Every join snapped to a word boundary
The cards Build each in a design tool Rendered in waves from the transcript
Brand mentions Add one at the end Found in the audio, given their own beat
The mix Normalise and export True peak checked, limiter and level calibrated

Common questions

Do I need video of the talk? No. Vizard Agent works from the audio alone and builds every visual from scratch.

Will it shorten what I said? Yes. Vizard Agent snaps every cut to a word boundary so the joins are inaudible.

How long should the finished piece be? Around two minutes for a structured talk. Ask for a shorter cut too if it is going on a feed.

Can it match our brand? Yes, and it can build a closing brand beat from the mentions already in your recording.

Why do word boundaries matter so much? Because a cut placed a few frames inside a word leaves a clipped consonant that nobody can name but everybody hears. Snapping to boundaries is the difference between a shortened talk and one that sounds edited.

Does Vizard Agent choose the card designs? Yes, from the style word you give it, and it re-renders any card that fails or reads wrong on review.

Does it add captions? Yes, sized and rebuilt after checking them on frame.

Can it handle a two-minute recording or a twenty-minute one? Either. Vizard Agent maps the structure from the transcript rather than from the length.

Does Vizard Agent check the finished piece? Yes. It reviews both halves, measures speech against music-only sections and has the finished cut analysed.