---
title: When to use HeyGen vs invideo
description: HeyGen for avatar-led training, SCORM and one-click translation. invideo for explainers with no avatar, one-scene updates and bulk slide decks.
---
It depends on whether a face is the point. Use HeyGen when an avatar presenter carries the video, your LMS wants SCORM, or you translate long videos with the speaker's voice. Use invideo for explainers with no avatar, for changing one scene and keeping the rest, and for turning many slide decks into videos.

HeyGen is single-player editing in its own words: in Single Editor Mode, only one person edits a draft at a time, and the others watch and comment. invideo is a multiplayer editor: you, your teammates and your agents work in one cloud project at the same time and watch every edit land live, each agent under its own name. Every timeline has branches, checkpoints and tags, like git branches for code: each person or agent works on their own branch, you compare the branches, restore any checkpoint, and make the winning branch the default. Anyone you share with can fork the project.

Both tools make training and explainer videos from a script. HeyGen builds around an AI avatar. invideo builds around a timeline, and can add an avatar as one clip.

The job: a five minute onboarding video from a slide deck and a script, then a fix to one line after a policy change.

**In HeyGen.** You drop in the deck or the script. HeyGen makes a draft with an avatar presenter and a voice. You pick the avatar and adjust scenes in its text-based editor. You publish as an MP4 or a SCORM package for your LMS. To fix the line, you edit the script and publish again. An agent reaches HeyGen through its remote MCP server, CLI or REST API, and those make new videos. They do not edit a draft a person has open.

**In invideo.** Your agent turns the deck into images with `media` `document.pages`. It voices each slide with a TTS model. A good pick is `elevenlabs_text_to_speech.elevenlabs_tts_v4`. Your agent can search for others with `find_models`. It places the slides and the voice on a timeline and adds captions with `add_captions`. To fix the line, it voices only the new line, swaps that clip on a branch, and exports again. The rest of the video stays as it was.

## At a glance

Checked on 29 October 2026 against HeyGen's site, and on 3 November 2026 for collaboration and agent access. They may change.

| | HeyGen | invideo |
| --- | --- | --- |
| Editable timeline after the cut | Editable video, a text-based editor | Yes, on a branch you can review |
| Collaboration | Single Editor Mode: one person edits at a time, others watch and comment | People and named agents in one cloud project, with branches and checkpoints |
| Versions | No version history found; "Edit a Copy" for Video Agent output | Branches, checkpoints and tags on every timeline |
| Generation | Avatars, text, image and PDF to video | Many models; an avatar as one clip with `heygen_photo_avatar` or `kling_avatar.pro` |
| Captions | Yes | `add_captions` from a transcript |
| Agent access | A remote MCP server, a CLI and a REST API, which make new videos | CLI and skills for terminal agents; MCP server for clients without a shell |
| Project files out | MP4 and SCORM | MP4, or a project for Premiere Pro, Final Cut Pro or DaVinci Resolve |
| Offline | No, it runs in the cloud | No, invideo runs in the cloud |
| Batch | APIs | `duplicate_timeline` and `export` per deck, run in parts |

Models retire. If a model is not found, your agent runs `find_models` with the job in words, uses the best match, and tells you.

## Use HeyGen when

HeyGen is built for presenter-led video.

- You want an avatar presenter on screen for most of the video.
- Your LMS needs a SCORM package. invideo exports MP4, not SCORM.
- You translate long videos into many languages with the speaker's own voice.
- You want a personal avatar of yourself, made once and used again.

## What HeyGen does better

Say it plainly. HeyGen is better at some things.

- **Avatars.** Avatars are the core product. HeyGen says Avatar V keeps "a single, coherent identity across every video". invideo runs avatar models as clips, not as a presenter studio.
- **SCORM.** It publishes SCORM for an LMS. invideo does not.
- **Translation at length.** HeyGen translates a video "with one click". invideo has no one-shot dubbing or translation model. Your agent dubs step by step. It reads the words with `audio.transcript` and translates them. It voices the new script with a TTS model, or clones the voice with `seed_audio_1_0.ta2a`. It swaps the sound with `video.replaceAudio`, then re-syncs the lips with `sync_lipsync_v3.video` or `kling_lipsync`.

## Use invideo when

invideo fits training that does not need a face.

- You want an explainer from slides, screen shots, stock or generated scenes, with no avatar.
- You change one scene or one line often, and want the rest of the video untouched.
- You turn many decks into videos, one timeline per deck.
- Your agent edits the same draft you have open, and you watch each edit land live.
- You want to try a new script on a branch and keep the old cut at a checkpoint.

## Use both

Make the presenter in HeyGen, then finish in invideo. Export the avatar video as MP4. Your agent adds it with `add_media`, cuts it next to your slides and screen shots, and adds captions and music. For SCORM, export the final MP4 from invideo and wrap it in your LMS tool. The steps are on [Use HeyGen with invideo](/integrations/heygen).

## Related

- [AI video tools compared, including invideo](/compare/alternatives)
- [When to use Synthesia vs invideo](/compare/synthesia)
- [Use HeyGen with invideo](/integrations/heygen)
- [Make a training explainer from a document, without an avatar](/how-to/training/explainer-from-a-document)
- [Update one line and re-render, keep the rest](/how-to/training/update-one-line)
- [Dub existing footage](/how-to/training/dub-existing-footage)