"Simon Says has been a huge part of our success on both large and small projects, particularly as confidentiality requirements mean that both manual transcription and cloud-based transcription are not options for us. Some of our more challenging projects have involved 100+ hours of footage, as well as many hours of audio-only interviews.â
--Chris Walton
executive producer on behalf of Microsoft, HBO, Google, and Tesla
"Simon Says On-Prem is a secure, fast, and easy-to-use transcription system"
"The updated [Simon Says] on-premise transcription solution goes hand-in-hand with an improved Mac/PC application that now has a more accurate A.I. engine and faster interface."
Simon Says' on-premise AI transcription features:
⢠Runs locally, no data goes to the cloud
⢠Highly accurate A.I. based on the latest, cutting-edge tech, convolutional neural networks and deep learning
⢠Transcribe audio/video offline
⢠A nifty user interface to easily import media files (just drag & drop) and edit / annotate / bookmark transcripts
⢠Exports to text, subtitles/captions, audio/video editing applications such as Avid Media Composer, Adobe Premiere, and FCPX
⢠Timecode-based / frame-accurate transcription for post production environments
⢠Mac / PC compatible
⢠Pay As You Go: only buy the hours you need
Who uses Simon Says on-prem:
⢠Production companies, studios, broadcasters
⢠Marketing, communications, PR, HR, product, legal departments
⢠Government, Military
⢠Researchers
⢠Legal, Medical, and Finance industries
⢠Universities
What they use it for:
⢠Create accessible content / caption video for websites, social media, internal training
⢠Transcribe interviews, such as for research and customer development
⢠Transcribe meetings, speeches, presentations
⢠Transcribe rushes/dailies for post production
⢠Subtitle video edits
System Requirements:
⢠Intel-based Macs or Windows (M1/M2/M3 Macs are not supported)
⢠4-core CPU minimum
⢠16GB of RAM, 32GB+ is preferred
⢠20GB of hard drive space
Most modern computers will easily meet the above requirements.
Minimum:
⢠100 hours of transcription.
