Your AI companion for HeyGen.

Turn video briefs into scripts built for avatar delivery.

A strong HeyGen script does more than communicate the right information.

It needs to sound natural when spoken, match the chosen avatar’s role and audience, fit the intended duration, and leave room for scene changes, on-screen text, and a clear call to action.

Use a companion to turn a product brief, campaign outline, or webinar notes into a working script structure. It can identify the central message, draft a hook, separate narration from visual direction, and highlight claims that need legal, product, or brand review. For existing scripts, it can spot long sentences, repeated ideas, unclear references, jargon, and moments where the presenter may sound overly formal or rushed.

You can also ask for scene-by-scene recommendations: where to introduce a screen recording, where a text overlay should reinforce a key point, or where a pause could improve comprehension. The result is not an automatic creative replacement. It is a practical draft and review partner that helps your team arrive at a better first cut before production work begins.

Make localization reviews more consistent across every language version.

Localization can break down after the source video is approved.

A translated line may carry the right words but the wrong tone. A scene title may overflow. A product term may be translated inconsistently. A localized call to action may no longer match the destination or market.

A Strawberry companion can help your team compare language versions in HeyGen against the approved source and a terminology guide. Ask it to create a structured review of meaning, tone, brand names, numbers, dates, currency, legal phrasing, and text that appears on screen. It can also surface lines that are likely to need shorter phrasing for captions or scene layouts.

For multilingual launches, use the same review criteria across each version rather than relying on memory and one-off comments. The companion can format findings by language and scene, making it easier for producers and translators to see what needs attention. Your reviewers retain the final say on regional nuance, cultural fit, and approved wording.

Convert scattered scene feedback into an edit plan your team can follow.

HeyGen review cycles often collect notes from marketing, product, creative, and regional stakeholders. One person comments on avatar delivery, another catches a caption typo, and a third requests a different CTA. When that feedback lives across comments, messages, and documents, important changes can be missed or duplicated.

Ask a companion to read the visible feedback and organize it into a clear scene-level plan. It can distinguish blocking issues from optional refinements, combine duplicate requests, identify conflicts between reviewers, and separate copy changes from production changes. For example, it can group notes into categories such as narration, avatar selection, voice pronunciation, background media, on-screen text, captions, transitions, and end cards.

This gives the video owner a useful handoff: what to change, where it appears, who should confirm it, and which open questions need a decision. Before edits are made, the team can review the plan together and preserve the intent behind each stakeholder comment.

Run a release review every Friday before videos move to publishing.

A dependable release process catches small issues that can undermine an otherwise polished avatar video: a stale CTA, mismatched captions, an incorrect locale, a scene left in the wrong order, or a pronunciation note that was never applied.

Every Friday, run a final review across videos planned for the following week. Ask a companion to inspect each project’s visible details and produce a release checklist covering script approval, scene order, avatar and voice consistency, on-screen copy, caption accuracy, localization status, links and CTAs, thumbnail or title details, and stakeholder sign-off. It should call out missing information separately from confirmed checks so the producer knows what still requires verification.

This cadence gives teams a predictable moment to review what changed during the week and why it is ready or not ready for release. It also creates a consistent record of the QA questions used across campaigns, product updates, internal communications, and localized video launches.

Frequently asked questions