Phrase - Frame.io Integration and Automation

Integrate Phrase Artificial intelligence (AI) and Frame.io Video Platform apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between Phrase and Frame.io

1. Localize video review assets for global stakeholder approval

Data flow: Frame.io ? Phrase

When video teams upload scripts, subtitles, on-screen text, or review notes in Frame.io, those text assets can be sent to Phrase for translation into target languages. This supports faster review cycles for regional marketing, training, and product launch videos. Once translations are completed, localized text can be returned for use in updated video versions or subtitle files.

Business value: Reduces manual copy-paste work, speeds multilingual approvals, and helps global teams review the same content in their local language.

2. Synchronize approved localized copy back into video production workflows

Data flow: Phrase ? Frame.io

After translation and linguistic review in Phrase, approved localized copy such as subtitles, captions, lower-third text, or voiceover scripts can be pushed back into Frame.io for creative teams to apply in the next video version. This is especially useful for campaigns that require multiple language variants with tight release deadlines.

Business value: Ensures creative teams always work from approved language assets and reduces rework caused by outdated or unapproved translations.

3. Automate multilingual subtitle and caption production

Data flow: Frame.io ? Phrase ? Frame.io

Video editors can export subtitle files or transcript text from Frame.io into Phrase for translation and terminology management. Once localized, the translated subtitle files are returned to Frame.io for review against the video timeline. This creates a controlled workflow for producing captions across multiple markets.

Business value: Improves accessibility, accelerates subtitle delivery, and supports compliance with regional language requirements.

4. Manage localized marketing video launches across regions

Data flow: Bi-directional

For global product launches, Frame.io can store and route master video versions, while Phrase manages the translation of accompanying localized content such as titles, end cards, disclaimers, and campaign messaging. Approved translations can be synchronized back to Frame.io so regional teams can review the correct version before publishing.

Business value: Helps marketing teams launch campaigns consistently across markets while maintaining brand and legal accuracy.

5. Centralize review comments that require text updates

Data flow: Frame.io ? Phrase

Reviewers often leave comments in Frame.io requesting changes to on-screen text, captions, or localized messaging. These comments can be routed into Phrase as translation or content update tasks so linguists can revise the source text and maintain terminology consistency. This is useful when legal, compliance, or brand teams request wording changes late in the production cycle.

Business value: Shortens the loop between creative review and localization updates, reducing missed changes and version confusion.

6. Support multilingual training and enablement video programs

Data flow: Frame.io ? Phrase ? Frame.io

Enterprise learning and development teams can use Frame.io to manage training video reviews while Phrase handles translation of narration scripts, subtitles, and supporting text. Once localized, the translated content can be returned to Frame.io for final stakeholder approval before distribution to regional teams.

Business value: Enables faster rollout of training content across geographies and improves learner comprehension in local languages.

7. Standardize terminology across video and localization teams