Posts from 2016

We've launched our new /video/adaptive Robot supporting MPEG-Dash, offering adaptive streaming with customizable segment duration and manifest names.

We've introduced a new rate limiter capping concurrently running assemblies at 250 to optimize performance, with Node and Ruby SDK updates for seamless retries.

We would like you to meet Adrian Sinclair, Ifedapo Olarewaju and Rooshy Roy, the three newest members of our team. Welcome to Transloadit, guys!

Quality customer support is very important to us. Meet Abdelhadi Khiati and Dan Rosenshain, the new Transloadians who will dedicate themselves to this task!

Introducing Uppy, a robust file uploader with tus for resumable uploads, cloud integration, and encoding services, aiming to revolutionize file transfers.

Transloadit's integration with Shrine simplifies Ruby file uploads and processing with asynchronous operations, background jobs, and easy metadata handling.

We've upgraded our API to an A+ SSL rating, ensuring top-notch encryption for customer data, while maintaining support for older platforms at no extra cost.

We addressed Redis issues by optimizing our infrastructure, leading to enhanced processing speeds and system stability, ensuring reliable service for our users.

In 2016, word came out about a bug in ImageMagick, which was quickly nicknamed ImageTragick. There was concern that Transloadit might be impacted by this bug.

Transloadit's team met in Amsterdam, focusing on integrating tus.io and uppy.io, and welcoming new members to enhance our services.

tus, our open protocol for resumable file uploads, was featured in the Dutch Linux Magazine. The article talks about why tus is the way forward.

Transloadit enhances audio files with its update, allowing easy insertion of artwork into tracks, elevating media experiences with visual cues.

We sponsored the FITC Amsterdam Event. If you're organizing a conference or hackathon and are looking for sponsors, let us know. We love to help!

After a customer requested this functionality, we are happy to announce that we are adding support for facial detection.