Teams can now use Rclone with ImageKit DAM to migrate millions of files quickly, supported by resumable transfers and full data integrity checks.

ImageKit, the unified platform for media processing and Digital Asset Management (DAM), announced integration with Rclone to simplify and mitigate the risks associated with bulk media migrations. Moving millions of files from one storage system to another is often slow, error-prone, and disruptive. With Rclone’s proven command-line tooling, businesses can now move or synchronize vast libraries of images and videos into ImageKit from over 70 supported storage platforms, all while preserving data integrity and minimizing downtime.

Beyond speed, the integration gives teams greater control over how migrations are executed. Features such as parallel transfers, integrity checks, dry-run simulations, bandwidth throttling, and resumable operations ensure that migrations can be planned, tested, and executed in phases, reducing risk and making the process predictable, even for massive media libraries.

Key benefits for media-heavy businesses

Faster large-scale migrations: Parallel and resumable transfers shorten migration windows for catalogs containing tens of thousands or even millions of assets.

Connect with multiple storage: Supports transfers across more than 70 storage platforms, including Amazon S3, Google Cloud, and Azure Blob, giving businesses full flexibility to move data seamlessly in or out of ImageKit as required.

Data integrity guaranteed: Built-in checks ensure every file is copied correctly by comparing both file size and cryptographic hashes such as MD5 or SHA1.

Automation-ready: Rclone’s command-line interface allows teams to script and schedule transfers in CI/CD pipelines or cron jobs, enabling staged migrations, hybrid deployments, and ongoing backfills.

Reduced migration risk: Dry-run mode and granular path filters let businesses test migrations safely, migrate in phases, and transition gradually with confidence.

“Businesses want the benefits of ImageKit DAM, including AI-powered media management that makes assets easy to find, structured metadata that keeps libraries organized, seamless collaboration across teams, and smooth integration into everyday tools such as Photoshop, PIMs, and CMS platforms, without the risks of a complete switchover migration. By embracing Rclone, we are meeting teams where they are and making data movement predictable, verifiable, and reversible,” said Manu Chaudhary, Co-founder and CTO, ImageKit.

Rclone integration is now available for all ImageKit users, with setup guides and command examples provided in the documentation - https://imagekit.io/docs/dam/bulk-upload-using-rclone.

The ImageKit DAM advantage

Once media libraries are migrated into ImageKit DAM, businesses gain a powerful hub for organizing, managing, and collaborating on their assets. The platform makes it simple to:

Stay organized at scale: Structured metadata and intelligent auto-tagging ensure that media libraries with even millions of assets remain consistent, searchable, and easy to manage.

Find anything fast: AI-powered search helps teams locate the right asset in seconds with natural language queries or image-based search, making post-migration workflows seamless.

Transform visuals with AI: Generative fill, background change and removal, prompt-based edits, and AI upscaling replace reshoots and manual edits, allowing teams to adapt assets faster, cut costs, and deliver studio-quality visuals at scale.

Collaborate without friction: From in-house teams to agencies and freelancers, everyone can work together efficiently with ImageKit’s media collections and public links, while versioning and commenting capabilities keep feedback cycles streamlined.

Integrate with everyday workflows: Seamless integrations with tools like Photoshop, Figma, HubSpot, and more ensure assets flow effortlessly into existing workflows once migration is complete.

Track every action with audit logs: Centralized logs record uploads, deletions, versions, and permission changes in a tamper-proof history. This transparency speeds up troubleshooting and keeps compliance teams confident.

Bring DAM into your CMS or web application: The embeddable media library widget integrates ImageKit DAM into any CMS or web application with just a few lines of code, giving teams instant access to their assets and collections without switching platforms.

Alongside its comprehensive DAM capabilities, ImageKit comes with built-in media processing, including URL-based transformations, real-time optimizations, and a global CDN. This combination ensures that assets are not only well-managed after migration but also delivered and streamed optimally to end-users.

ImageKit also provides end-to-end support for migration. This includes URL rewriters to preserve existing URLs and platform-specific guides that simplify the move into ImageKit DAM.

“Migrating our massive media library felt like it would be a nightmare, but ImageKit made it surprisingly smooth. Their team handled the migration from start to finish, and all our assets were immediately accessible in ImageKit DAM, with zero disruption to ongoing projects,” said Raj Tiwari, VP, Technology Development & Analytics, Stanley Martin Homes.

About ImageKit

ImageKit.io is a unified Image and Video API combined with an AI-powered Digital Asset Management (DAM) platform. It empowers developers and marketers to deliver flawless visual experiences across the web. Offering automatic media optimization, over 50 real-time transformations, and superfast content delivery via a global CDN, ImageKit simplifies how you handle and deliver images and videos. Its integrated DAM further enhances asset management, visual search, and team collaboration. Trusted by over 250,000 developers and 2,000+ businesses globally, ImageKit enables developers to ship faster, marketers to iterate freely, and your users to enjoy flawless visuals everywhere.

View source version on businesswire.com: https://www.businesswire.com/news/home/20250916829523/en/

By embracing Rclone, we are meeting teams where they are and making data movement predictable, verifiable, and reversible.