LALAL.AI
LALAL.AI is a next-generation audio separation service powered by advanced AI technology. With a suite of innovative tools - Stem Splitter, Voice Cleaner, Voice Changer, Voice Cloner, LALAL.AI enables users to take their audio content to the next level.
Stem Splitter
The core service of LALAL.AI, Stem Splitter allows users to extract individual vocals or instruments from audio tracks. Supported instruments include: drums, bass, piano, guitar (electric and acoustic), synthesizer, and string and wind instruments
Voice Cleaner
A powerful tool for extracting clean, clear vocals from audio and video
Voice Changer
Tap into the power of AI to mimic the singing styles of famous stars
Voice Cloner
Create custom voices
Echo & Reverb Remover
Remove unwanted echo and reverb from vocals, voice recordings, songs, and videos, all in popular audio and video formats
Lead & Back Vocal Splitter
Use state-of-the-art AI technology to precisely separate lead and backing vocal
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Google Cloud Speech-to-Text
Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.
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Gemini 2.5 Pro TTS
Gemini 2.5 Pro TTS is Google’s advanced text-to-speech model in the Gemini 2.5 family, optimized for high-quality, expressive, controllable speech synthesis for structured and professional audio generation tasks. The model delivers natural-sounding voice output with enhanced expressivity, tone control, pacing, and pronunciation fidelity, enabling developers to dictate style, accent, rhythm, and emotional nuance through text-based prompts, making it suitable for applications like podcasts, audiobooks, customer assistance, tutorials, and multimedia narration that require premium audio output. It supports both single-speaker and multi-speaker audio, allowing distinct voices and conversational flows in the same output, and can synthesize speech across multiple languages with consistent style adherence. Compared with lower-latency variants like Flash TTS, the Pro TTS model prioritizes sound quality, depth of expression, and nuanced control.
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