Transcription Services

Imagine you have an audio file, such as a recorded meeting or an interview, and you need to determine precisely who said what. This tool is designed to achieve exactly that.

Our platform employs a sophisticated model, Open AI’s Whisper, to process audio-video files and transcribe all spoken words into written text. Essentially, it converts the entire file into a readable transcript. The platform utilizes another advanced model, Pyannote, to analyze the audio and identify the different speakers throughout the recording. It can distinguish between various voices in the audio and generate a speaker-labeled transcript. The outcome is a time stamped, fully labeled transcription.

Administrative documentation is a major driver of rising healthcare costs and burnout in the industry. The potential to automate clinical transcription services was always in mind throughout the development of this platform.  In addition to the capabilities above, the system also highlights potential errors to promote rapid human verification, further reducing the necessary manual effort. And most importantly, this system was designed with security in mind. Data is encrypted in transit and at rest, with HIPAA compliance in the works.

If you have an audio file and require a precise written record of the conversation, complete with speaker identification, this tool handles the entire process for you. User can simply upload an audio file and generate a well-organized transcript, all the while keeping their data secure.

The platform was recently updated to incorporated a Large Language Model. Using an LLM with a transcript themes can be extracted, sensitive content can be flagged, keywords can be identified, and names & places can be highlighted.