Record an infinite number of channels from virtually any physical sound card, tuner card, or AoIP driver.
Search and analyze your data by automatically transcribing audio and harness the power of machine learning.
Publish your audio and video content to a variety of platforms or share content among users at your station.
SideCAR enables users to edit audio simply and from within their web browser, even on mobile devices.
Visit our Demo SiteDerive powerful insight from structured audio files with Machine Learning analysis.
Set automation rules to automatically transcribe and analyze any type of event as it airs to easily structure and search your recorded content.
Have a file recorded outside of SideCAR? Transcribe the speech and derive Machine Learning analysis from the recording within SideCAR. Simply upload or import any media file into SideCAR and you will be notified when the transcript is available.
Until now, finding the clip of audio or video you needed was tedious and time consuming. With SideCAR’s powerful transcription engine, users can now search through decades of archived audio to find the exact clip they need.
Searching for a particular clip is made even easier when using the machine learning tags associated with the content.
Harness the power of Machine Learning to perform analysis of any talk-set or interview recorded by SideCAR. Determine entities and entity types, key phrases, language, and even sentiment and emotion.
Generate reports and gain useful insight about the content that airs on your station and your competitors in the market.
SideCAR uses a flexible control and data protocol making it simple to interface with virtually any automation or playout system on the market.
Furthermore, all SideCAR components are built around our advanced API for remote control over a local area network or VPN to provide control from multiple physical locations.
Users can simply and easily manage their assets by applying archival rules to expired files.