Change logs of Dataclay software releases, known issues, and promotions

Release — Templater 2.9.5

The Dataclay team has released Templater 2.9.5, providing critical updates to support Google Sheets as a data source. This new version comes in advance of Google’s retirement of the Sheets API v3, scheduled for April 9, 2020. For workflows that leverage Google Sheets as a data source, you must update Templater to version 2.9.5 before April 9, 2020. We recommend downloading, installing, and testing Templater 2.9.5 by the end of March 2020 to avoid a disruption in functionality.

For workflows that use Templater’s command-line interface with Google Sheets as a data source, you must also update the data_uri property in your templater-options.json configuration files to address Google’s new requirements. To verify the value for the data_uri property, in Templater’s Google Spreadsheet Setup dialog, select a worksheet name. Use the Feed URL value for data_uri.

If you find that the integration with a Google Sheets data source is not working as expected after installing Templater 2.9.5 by April 9, 2020, you may need to reset preferences in After Effects. For further help, please open a support ticket.

In addition to ensuring continued support for Google Sheets, we’ve also included these improvements in Templater 2.9.5:

A live data toggle preview setting — You can enable the live data toggle to request live data when generating previews, or you can disable it to use cached data and speed up the previewing process.

Default visual and audio placeholders — Templater points to these defaults within the preferences if you don’t specify a placeholder.

Search functionality for locating a Google Sheets data source — It’s now easier to specify a linked worksheet.

Status message and logging improvements — A variety of changes, tweaks, and additions to make status messages clearer and more accurate.

Bug Fix: CLI checking JSON freed with headers — An issue has been resolved when passing headers values to access a JSON endpoint via the CLI.

Bug Fix: Retrieve the correct row within range during preview — An issue has been resolved when iterating through previews and the Start and Finish range values change.

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Questions, answers, and discussions about data sources compatible with Templater.

{{off}} Flags preventing Bot exports

For anyone that’s viewing tis thread, the issue lay around toggling on and off pre-compped layers.

Using the “swapping” function gave me the results I was looking for. Thanks @ariestav for all the help.

Here’s a once of Ari’s videos that explains comp swapping.

Previewing with Templater's Data Transport

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Questions, answers, and discussions about preparing After Effects projects for processing by Templater.

Send to render only the work is previewing

@Roberto-Mardini You can add your comp to the render queue normally via AE’s menus, and it will render just the currently-previewing individual job data. The render-status column is only used by Templater Bot. If you still want to output a range of rows, you’d still need to adjust the start and end values in the Transport controls section.

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Questions, answers, and discussions about batch rendering and replicating re-versioned After Effects compositions.

Stitching multiple compositions in one video

@darrencase also, it might be helpful to watch this video to see a demonstration of how comp swapping works, to hopefully make it clearer.

Previewing with Templater's Data Transport

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Questions, answers, and discussions about Templater's automation extensibility and integration.

Call a Shell Script w/ Bot

Have you taken a look at your templater.log file for any clues as to the issue? In that log file, it will show you exactly what it attempts to execute in the shell. You can copy and paste that from the log to a new terminal window and try it there. Keep in mine that the environment that Templater executes in might be different from the environment in your own Terminal shell. Maybe something is not included in a path? I’m sure cp command is, but I’m just saying that there might be something related to environment.

Also, take a read through this to troubleshoot:

Troubleshooting Event Scripts

Please let us know if this helps.


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Questions, answers, and discussions about deploying Templater Bot onto servers

Any experience of high-scale render farms? What could I expect to achieve in a 24 hour processing window?

Hello Simon,

It’s going to be a bit difficult to predict how Templater is going to perform on a project of that scale due to several variables. The complexity of the project is going to be a huge factor when it comes to rendering that many videos in that amount of time. You might be able to achieve that performance in the time frame that you’re projecting, but it’s going to depend on optimization and your general workflow. I would recommend setting up some testing with a trial version of Templater to see what sort of performance you’re going to get based on the project details. Since After Effects isn’t quite as optimized for multi-core rendering systems, you may get a better result from multiple instances of AE running on smaller servers since the raw horsepower may not be fully utilized by the project. If we can offer any other assistance, please just let us know.



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Examples of Templater used by creative studios, broadcast, and application developers.

Case Study: Hudl

David Graff, John Wirtz, and Brian Kaiser founded Hudl in 2006 with the goal of capturing and adding value to every moment in athletics. Using their computer science backgrounds, the University of Nebraska sports fanatics built a platform that would enable coaches and players to review, annotate, and share game video across multiple platforms and devices. Their hard work paid off.

With 130,000 sports outfits subscribing to their software worldwide—including NFL, NHL, and NBA teams, and an exponentially growing number of high school teams signing up every season—Hudl recently secured $72.5 million in a single Stage B funding round for a total valuation of $250 million. They expect this fall to be their busiest ever with 30,000 varsity high school football teams subscribing at a minimum of $800 per year for their cheapest package!

Several times a year, Hudl holds a company-wide event called Skunkworks, modeled after the fabled Lockheed Martin creative think-tank that produced some of the company’s most innovative solutions. One of their teams wanted to address the “cookie-cutter” sameness of the popular highlights feature favored by athletes and recruiters. Developers Casey Batemen, Joel Hensley, and Kelly Herrington discovered Templater Bot, and found the best turnkey solution for making their highlight reels standout.

Hudl successfully integrated Templater Bot into its robust video automation platform, and will soon roll out the Video Goodness product feature — enabling every team or athlete to have their own customized ESPN-quality highlight reel created in just a few minutes. The feature is eagerly awaited, and should make a huge splash when it goes live just in time for football season.

Templater Bot’s coding-friendly API and ability to turn huge amounts of data into highly customized and individualized bulk renders allowed Hudl developers to clear some of their most challenging implementation and logistical hurdles.

We are blown away by Hudl’s ingenious use of Templater in their pipeline and wish them continued success! We look forward to partnering on more solutions in the future.

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