Descript

Pricing model
Freemium
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Descript is an audio and video editing software offering transcription, screen recording, publishing, and AI features such as lifelike voice cloning with Overdub, free voice templates, privacy-centric options, the capacity to edit real recordings mid-sentence, create multiple voices, share with trusted collaborators, and access a premium stock voice library. It also delivers a 44.1KHz broadcast-quality speech synthesizer and live Overdubbing capabilities.

Similar neural networks:

Free
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OpenAI.fm, introduced in 2025, is an interactive platform featuring OpenAI's cutting-edge text-to-speech technology. It enables users to transform text into highly customizable audio with an array of pre-configured voice characters and adaptable speaking styles. This tool is tailored for developers, content creators, businesses, and anyone keen on exploring AI-driven speech. OpenAI.fm could be the choice for those looking to swiftly prototype voice applications, craft personalized voice content, or produce natural-sounding voiceovers for diverse media projects, all without the need for extensive coding.
Paid
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WhisperTranscribe is an AI-driven application that swiftly and accurately converts audio files into text in over 55 languages. It provides features such as multilingual support, content creation, and subtitle generation. This tool is beneficial for content creators, researchers, marketers, and educators aiming to save time, enhance accessibility, and effectively repurpose audio content. Its exceptional accuracy, flexibility, and privacy-centric options make it a compelling choice for professionals seeking quick and dependable transcription solutions.
GitHub
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Whisper is a publicly available system for automatic speech recognition, developed using 680,000 hours of multilingual and multi-task supervised data sourced from the internet. It is crafted to effectively handle various accents, background noise, and technical jargon, and it can convert and translate spoken language in numerous tongues into English. This straightforward end-to-end method is executed as an encoder-decoder Transformer. Additionally, it can identify languages and provide timestamps at the phrase level. It aims to offer ease of use and high precision, enabling developers to integrate voice interfaces into more applications.