Automating the removal of harmful content from audio
Automatic explicit language detection and removal
Contextual understanding
We analyse for areas of wider editorial concern including drug use, references to sex, violence and promotion of hatred or harm.
Our AI understands context, nuance, coded language, hidden meaning and subtext
All programs are full transcribed as standard
Current affairs checks
Content is checked against current and historic news cycles, providing timestamps and summary of the issue identified
Artists featured and played during shows are also checked against news and current legal case data
Music Metadata Reporting
Optional music metadata reporting, downloadable as CSV file for PRS reporting in this format;
Song Title, Performers (Main & Featured), Composers, Label, Catalogue Number, Publisher
Choose your plan
Pricing
100 Credits
£20
Month
300 Credits
£40
Month
1000 Credits
£80
Month
Flexible pricing, you choose reporting and analysis
10 credits an hour
Full show transcription
Short and long program descriptions Offensive language identification Contextual analysis against Ofcom guidelines
News and current affairs analysis
Ability to preview edit decisions and manually select what’s removed
Automatic removal of selected words and phrase
The ability to query the transcript with custom prompts
20 credits an hour
Standard features +
Music compliance and seamless, stem-separated radio edits
30 credits an hour
All the above + accurate music metadata generation (music report exportable in CSV for PRS/ BBC reporting)
Team
Beep AI has been designed by the team behind multi winning radio station and production company Reform Radio, based in Manchester. With over 12 years running their own station and producing content for partners such as BBC Radio 6 Music, BBC Sounds, Hits Radio and Gaydio, the team have in depth insight and understanding of the audio compliance process.
As both business owners and producers, the team saw a opportunity to leverage AI to both reduce the huge costs of compliance (a £6 billion problem worldwide) whilst freeing staff up to be more creative and drive growth through development of new ideas.
Failure to do thorough compliance can lead to huge fines from Ofcom (£53.2M in 20022/23), reputational damage, loss of work and widespread ofense or harm to listeners.
What really excites us as a team of radio and music fans, is the potential of this technology increase the diversity of what is heard on daytime radio and liberate listeners from repetitive playlists.
Frequently Asked Questions
Is my data secure?
Yes all all user data is held in a secure, GDPR compliant online storage area with no unauthenticated access. Initial data processing is done in a private closed network. Stem seperation performed using our own privately deployed processing model using a short term pre-signed url, with all processed data deleted within 2 hours. Transcription is performed on a 3rd party API using a short term pre-signed url. Playback audio is secured behind user authentication and a custom player. All audio automatically deleted after 2 months for added security
in 2 hours. Transcription is performed on a 3rd party API using a short term pre-signed url. Playback audio is secured behind user authentication and a custom player. All audio automatically deleted after 2 months for added security
Can I listen to what has been found and make decisions on what is removed?
We’ve built a custom player that allows you to quickly skip to any words identified and manually listen to them. You can move the playhead and also check the transcript to understand the context in which the word was used. A tick box next to the word will allow you to decide what is taken out.
Does Beep AI get it right every time?
Although we have tested this thousands of hours of audio, like any AI systems, Beep AI isn’t perfect and might miss words. We designed Beep AI to be a time saving tool, rather than a replacement for final human editorial oversight.