Picovoice's Speech-to-Index engine transforms audio/video into searchable indexes—letting users query content by phonetic match, intent, or keyword—all entirely locally.
Listeners want to find clips with a specific quote or topic—without manually transcribing.
Compliance teams reviewing thousands of calls need to find mentions like "insider" or "confidential."
Educational repositories want to let users search by phrase within audio/video.
Yes. Unlike traditional cloud speech-to-text APIs, on-device Speech-to-Index generates compact phonetic indexes that allow near-instant search without converting entire audio streams to text. This also cuts costs by eliminating the need for cloud compute or playback processing. It's an efficient alternative for large-scale, searchable audio archives.
In many cases, Speech-to-Index performs better than traditional Speech-to-Text engines—especially for slang, proper nouns, and regional accents. Phoneme-based matching helps surface terms that might otherwise be missed due to spelling variations or pronunciation differences.
Yes. The system is designed to scale efficiently—whether you're indexing a few hours of audio or entire call archives. Index once and enable fast, local queries across massive media libraries.
No. One of the key benefits of Picovoice's Speech-to-Index is that it operates entirely on-device or on standard infrastructure. You can run it directly in web browsers, desktop environments, or on lightweight servers—no GPU, no cloud costs, and no data privacy risks associated with third-party hosting.
Picovoice Speech-to-Index is currently in beta and available exclusively to Enterprise Plan customers. If you're already a Picovoice customer, please contact your Picovoice representative. If you're interested in becoming a customer, get in touch with us to learn more.