Teams working with voice data like customer service calls, telehealth sessions, or financial consultations all face a shared challenge: how to leverage these insight-right touchpoints for model training and analysis while still protecting privacy and adhering to compliance requirements.
Tonic Textual’s Synthetic Audio capability unlocks audio for AI development – securely and at scale.
Users can redact large quantities of audio files with a quick SDK call or simply drag-and-drop audio files within the UI to generate privacy-protected transcripts
Demo: Generating privacy-protected transcripts from audio files using Tonic Textual.
Install the Textual Python SDK
Create an SDK client
Specify local file locations to ingest recordings via the Textual SDK
Specify a generator:
Generate transcripts in JSON
Export for downstream use
Tonic.ai comes ready with out-of-the-box support for a rich library of entity types—so your data is understood from day one. From names, dates, and locations to nuanced healthcare, finance, and developer-specific fields, our proprietary models are designed to recognize the structures and semantics that matter most. Whether you're redacting sensitive information or sanitizing datasets with true-to-life synthetic replacements, these built-in types form the backbone of smarter, safer data workflows.
