Frame.io update: Japanese support, Firefly and SDK updates

Frame.io has rolled out four updates this month, completing the developer SDK story for Version 4 and adding Japanese language support, Adobe Firefly integration, and automatic sign-in for Premiere.

Adobe Firefly integration

Frame.io assets are now accessible directly within Adobe Firefly apps, specifically Text-to-Image and Text-to-Video. Users can browse, open, and save Frame.io assets without leaving Firefly, with shared permissions carrying across both tools, which should help to tighten workflows for anyone using the Firefly genAI tools.

Zero-click sign-in for Premiere

Eligible Creative Cloud users are now automatically signed into Frame.io when they open the Frame.io panel in Premiere, with no repeated sign-ins required across Premiere upgrades. The feature is available now in Premiere (Beta), rolling into Premiere 26.3 GA.

Japanese language support

Frame.io is now available in Japanese, its first non-English language. Users can set Japanese as their preferred language and input text using native Input Method Editors (IME) on Web and iOS. Reviewers whose browser is set to Japanese will also see the review and comment UI localized. The feature is available across all Frame.io plans, and looks to mark a push from Adobe toward increasingly globalizing the product.

Python and TypeScript SDKs

Building on Frame.io V4 previously required developers to write their own code for file chunking, multi-threading, retries, and authentication. That approach is now history as two SDK updates address this.

The Python SDK now handles large local file uploads with a single call, with parallelization, automatic retries, and observable progress via Python logging. The TypeScript SDK gains a built-in OAuth 2.0 module covering the full Adobe IMS authentication lifecycle, supporting four auth flows: Server-to-Server, Web App, SPA (PKCE), and Native App (PKCE). It has zero runtime dependencies and is compatible with Node.js 18+ and browser environments.

Both SDKs are available via PyPI and npm respectively.