AWS has launched File Mover Express, an open-source application designed to transfer large files between local systems and Amazon S3 at wire speed. The tool, released under the Apache 2.0 license and available for macOS, Windows, and Linux, addresses a longstanding pain point for media teams that regularly move terabytes of assets between on-premises storage and the cloud. The application supports parallel transfers, automatic performance tuning, retries, pause and resume functionality, and file integrity verification.
File Mover Express features a daemon-based transfer engine that operates independently of desktop sessions, allowing the daemon to run on workstations, data center servers, or Amazon EC2 instances while users control it through a drag-and-drop GUI or scriptable CLI over an encrypted, password-protected connection. The tool splits large files into chunks and uploads them concurrently using multipart uploads, with an autotuning mode that adjusts the number of parallel streams and chunk sizes to maximize throughput for available connections. The application calculates checksums in the background and caches them locally for reuse when files remain unchanged, supporting MD5, XXHash, XXHash64, and XXH3 formats. Security features include file encryption in flight and at rest, control plane encryption, HTTPS for all transfers, and AWS IAM-governed access with a documented minimum-permission policy, plus single sign-on through OpenID Connect for teams that centralize identity.
According to Provanshu Dey, senior solutions architect at AWS, and colleagues Asbjorn Kjaer, Matthew Muccio, and Ross Dickson, media teams face tight deadlines with processes that "must continue after the initiating user or machine disconnects." Traditional transfer clients may halt when a desktop session ends, they note, while commercial alternatives can introduce licensing costs, proprietary protocols, or third-party infrastructure. Dickson writes on LinkedIn that the tool "tackles the usual pain" for anyone in media moving camera cards, dailies, or deliverables, emphasizing that "moving large media files to the cloud shouldn't be the slow part of your day."
The tool's design responds to the specific operational challenges of media workflows, where transfers often involve terabytes of assets under tight deadlines and require continuity regardless of user availability. By decoupling transfers from desktop sessions through its daemon architecture, File Mover Express ensures that uploads and downloads can proceed uninterrupted even when the initiating machine disconnects. The application handles both uploads and downloads, enabling teams to transfer large files to S3 and retrieve them for editing, review, or restoration. For transfers to distant buckets, users can activate S3 Transfer Acceleration, while bandwidth limits help control network usage.
The project's source code and pre-built packages for all three operating systems are available on GitHub. The application also supports integration with AI assistants through MCP and includes automatic uploads from monitored folders, providing scriptable workflows for teams handling high-volume media operations. The open-source release under Apache 2.0 removes licensing barriers that commercial transfer solutions typically impose, while the choice of Go for the transfer engine and TypeScript with Angular for the GUI reflects AWS's focus on performance and cross-platform compatibility. For organizations weighing build-versus-buy decisions around data movement infrastructure, this release shifts the calculation by offering enterprise-grade transfer capabilities without vendor lock-in or recurring costs. The daemon architecture also signals a broader pattern in cloud tooling: decoupling resource-intensive operations from user sessions to support always-on workflows that span hybrid environments.