Lexika – Search Engine for Spoken Words/Phrases in YouTube Videos
Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale.
Lexika – Search Engine for Spoken Words/Phrases in YouTube Videos launched on October 13, 2015 with 85 votes, #608 of 4,175 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 11 years on.
In plain words
Lexika is a speech-to-text and text-to-speech platform that enables enterprise voice solutions through APIs. It uses Deepgram's Flux models for real-time speech recognition and natural-sounding speech generation designed for conversational AI. The platform handles interruptions, turn-taking, and conversational context, and operates in the cloud or self-hosted. It serves businesses building voice agents and conversational applications that require accurate, scalable speech processing.
written from the facts on this page · September 2026
From the sources
Flux STT listens. Flux TTS speaks. The first conversation-aware speech platform built to natively understand turn-taking, handle interruptions, and carry conversational context. Built for voice agents. Available in real time or batch, in the cloud or self-hosted. Text-to-speech built for live conversations. Flux TTS is the first voice model that thinks before it speaks—holding tone, expression, and continuity across an entire conversation. Build with Flux TTS free through September 12th, with up to 45 concurrent streaming connections in the US and 5 in the EU and AU. Instead of stitching together separate components, Deepgram unifies speech-to-text, text-to-speech, and LLM orchestration…from lexika.io
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