Write the script, pick a presenter and a voice, and get a lip-synced talking-head video back in minutes, no camera, no studio, no one on screen. Built for onboarding modules, compliance refreshers and process updates that change every quarter.
Corporate training does not need a camera crew, a conference room booked for the day, or a presenter willing to reshoot take fourteen because a phone buzzed mid-sentence. Write the script, choose a presenter and a voice, and Picasso IA turns plain text into a talking-head video that looks and sounds recorded, without recording anyone. The same workflow covers onboarding modules, compliance refreshers and the process update nobody has an afternoon free to film twice.
Most internal training videos die at the storyboard stage, not because the content is hard to explain but because producing it is disproportionate to how often it gets watched. A five-minute onboarding clip means booking a room, finding someone willing to be on camera, and reshooting the section where they stumble over a product name. None of that scales when a process changes every quarter, or when the same lesson needs a separate version per region.
An AI presenter model removes the production bottleneck without removing the presenter. Avatar V and Avatar IV, both published by HeyGen and both listed in the full model catalog, take a written script plus a chosen voice and return a lip-synced talking-head video in minutes. Nobody has to sit in front of a camera, nothing has to be reshot because of a stumble, and updating the video for next quarter means editing the script text, not re-booking a room and a presenter's calendar.
The two avatar models split the decision cleanly. Avatar V accepts a script and a HeyGen voice ID, renders at up to 4K, and outputs 16:9 or 9:16 with an optional burned-in caption track, taking up to five thousand characters of script in one run. Avatar IV adds an avatar style setting, full frame, close-up, or a circle overlay meant to sit beside a slide, plus a voice emotion control with Excited, Friendly, Serious, Soothing and Broadcaster presets, so a safety briefing and a product launch announcement do not have to sound identical.
Voice speed on both models runs from half to one and a half times normal, and this matters more for training than for marketing: a compliance module read at 0.85x gives non-native speakers room to keep up, while a two-minute tips clip can run faster without losing clarity.
Write the script the way you would actually say it out loud, short sentences, one idea per sentence, and read it aloud once before generating. A line that trips your own tongue will trip the avatar's lip sync in the exact same place.
If nobody has written a script yet, Video Agent skips that step entirely: hand it a paragraph describing the topic and it drafts the script, selects a presenter, records the voiceover and edits the finished clip in one run, landscape or portrait, from as little as five seconds up. Treat the result as a fast first cut, not a finished module; most teams still tighten the drafted script before publishing it.
Which setup earns attention depends on what the video actually has to do. This is the honest mapping between format and job:
| Presenter Style | What to Configure | Best For |
|---|---|---|
| Full frame, formal voice | Avatar V, 16:9, captions on, speed 0.9x | Compliance and policy modules |
| Close-up, friendly tone | Avatar IV, closeUp style, Friendly emotion | Culture and onboarding welcomes |
| Circle overlay on slides | Avatar IV, circle style, Serious emotion | Software walkthroughs over a deck |
| Vertical, fast pace | Avatar V, 9:16, speed 1.2x | Two-minute mobile refreshers |
| One-prompt draft | Video Agent, portrait or landscape | A first cut before a script exists |
The workflow below takes a finished script to a publishable video, and it assumes nothing more than a topic and roughly fifteen minutes of setup.
A single training video rarely serves a single office. Once the English version is approved, dubbing handles the harder half of localization: matching the presenter's tone, emotion and timing in a new language without reshooting or hiring a second voice. The dubbing model covers more than ninety languages and dialects, detects the source language automatically, and offers a cloning strength setting so you can keep the original presenter's voice recognizable or loosen it for a more natural delivery in the target language.
For teams distributing the same module across regions, generate the master once in English, then run it through dubbing once per target language instead of re-scripting and re-recording from scratch. Pair that with automatic captions for viewers who watch with the sound off, more common in an open-plan office than most training plans account for.
Teams weighing whether to build this in-house or subscribe to a dedicated corporate video platform can compare the trade-offs directly: Picasso IA vs Synthesia and Picasso IA vs HeyGen both cover what a single-purpose training tool offers against a catalog that also handles image, audio and 3D under one subscription.
An honest page says where the tool stops. For training video there are five real limits:
None of these rule the workflow out. They are why a training team still owns the script, the screen recordings and the final review, while the avatar owns the part that used to eat a whole afternoon.
For Avatar V and Avatar IV, yes, both take a written script as the required input alongside a voice and avatar choice, so the words on screen are exactly what you typed. If a script does not exist yet, Video Agent works from a short prompt instead and drafts one for you, along with picking a presenter and voiceover automatically. Most teams still read that draft back before publishing, the same way they would review a script a colleague wrote.
Avatar V is the simpler choice: script, voice, resolution up to 4K, captions, done. Avatar IV adds control you will actually use for training, an avatar style setting for full frame, close-up or circle overlay, and a voice emotion preset so a safety module and a welcome video do not sound the same. If you only need one clean take, start with Avatar V; if framing and tone matter to the message, Avatar IV earns the extra setting.
Yes. Generate the English master with Avatar V or Avatar IV, then run the finished file through the dubbing model for each target language. It detects the source language automatically, preserves the original presenter's emotional tone and timing, and offers a cloning strength setting that controls how closely the new voice matches the original speaker. This replaces re-scripting and re-recording per market with one dubbing pass per language.
New accounts on Picasso IA start with free credits, which is enough to generate a short avatar clip and judge whether the pacing, voice and framing fit your training content before spending anything further. Talking-avatar video sits toward the higher end of generation cost compared to a still image, since it renders motion and lip sync over time, so test with a short script first. Current plans and credit allowances live on the pricing page, since they change more often than a page like this should quote.
Not directly. The avatar comes from a library of preset digital presenters offered by the model, not a likeness generated from a photo of your actual colleague, so you are choosing an avatar that fits the tone rather than casting a specific person. If having a recognizable, consistent face across a whole training series matters to your brand, treat the chosen avatar as a house presenter and reuse the same avatar and voice ID across every module instead of switching between runs.
Each generation accepts up to five thousand characters of script, which comes out to roughly a few minutes of spoken delivery depending on voice speed. For a longer session, split the material into logical modules, generate each as its own clip, and either publish them as a numbered series or stitch them together afterward in your own editing tool. Shorter modules also tend to hold attention better in a training context than one long unbroken clip.
Yes, both avatar models support burned-in captions with a single toggle, generated automatically from the script text you provide, so there is no separate transcription step. For teams that need a downloadable subtitle file rather than captions baked into the video itself, a dedicated automatic subtitle pass on the finished clip produces that as a separate file, which some learning platforms require for accessibility compliance.
Not on its own. The avatar narrates and appears on screen, but it does not capture your product's actual interface, since it has no access to your software. The practical pattern is to record your own screen walkthrough separately, then use the circle overlay avatar style to place a small presenter window in a corner of that recording, narrating what the viewer is watching happen on screen.
A dedicated avatar-video platform and Picasso IA solve the same core problem, presenter video without filming, but a catalog approach means the same account that generates the avatar clip also covers the voiceover, the localized dub, the subtitle file and any supporting graphics without a separate subscription for each. Filming a real presenter still wins on authenticity for culture-heavy content where the audience wants to see an actual known face. The Picasso IA vs Synthesia comparison lays out the trade-off in more detail.
Generations are paid in credits, and the exact amount depends on the model, the resolution and the length of the script, since a longer 4K video costs more to render than a short 720p clip. New accounts get free credits to test the workflow before spending anything. Current plan pricing and credit allowances live on the pricing page, and they change often enough that a specific number written here would be wrong within weeks.
Your next training module needs no booked room, no second take. Open the Toolkit, paste the script, and see a first draft in the time it takes to set up a camera.
