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Typecast (AI voice generator)

Speech synthesis SaaS software From Wikipedia, the free encyclopedia

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Typecast is an AI-powered content creation platform specializing in emotionally expressive text-to-speech (TTS), avatar generation and video creation. Developed by the AI startup Neosapience, Inc., the platform enables users to create audio and video content from text by leveraging artificial intelligence.

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Overview

Launched in 2019 by Neosapience, Typecast has gained widespread adoption, with over 2 million users in 225 countries as of 2025.[1] The company is headquartered in Seoul, South Korea, with an additional office in San Mateo, California.[1]

History and funding

Neosapience was founded on 9 November 2017 by Taesu Kim and Juncheol Cho.[2]

The company remains privately held and raised a Series B funding round in February 2022, with investors including BRV Capital Management.[3][2]

According to available data, total funding is estimated at US$26.8 million.[3]

Technology and features

Typecast uses its proprietary Speech Synthesis Foundation Model (SSFM) with billions of parameters.[1]

Key technical capabilities include:

  • Emotion-expressive TTS: Users can generate AI voiceovers with emotional control through prompts (e.g., "sad", "angry").[1]
  • Voice cloning: Enables the creation of custom voices from user-provided samples.[4]
  • Talking avatars: Produces video avatars that lip-sync to synthesized speech.[1][4]
  • Multilingual support and APIs: Supports multiple languages and provides RESTful API endpoints for integration into third-party applications.[5][4]

Reception

In 2022, TechCrunch highlighted Typecast's potential to transform content creation by allowing users to generate voice and video content without traditional studio recording or editing. Reporter Kate Park noted that one of Typecast's distinguishing features was its ability to produce human-like emotions and speaking styles, as well as its advanced control over prosody and performance.[3]

In 2023, VentureBeat praised Typecast for its ability to replicate human emotion in synthetic voices. Journalist Taryn Plumb described the platform's “Cross-Speaker Emotion Transfer” as a breakthrough that allows users to imbue AI-generated voices with authentic emotional depth, based on only a small sample of speech audio.[6]

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See also

References

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