Audio Converter AI
Convert speech, text, and audio formats with AI.
What it does
Audio Converter AI transcribes audio and video to text with high accuracy, supports 200+ languages, and offers speaker identification, smart summaries, and timestamps. It also includes TTS, voice changing, and format conversion (MP3, WAV, FLAC, AAC, OGG, M4A, MP4). Handles files up to 5GB, batch processes 5 at once. Free, no sign-up, browser-based. Perfect for lectures, podcasts, interviews, and meetings.
Audio Converter AI instantly converts audio to text online using advanced AI. Free, unlimited, and easy to use - perfect for lectures, podcasts, interviews, and meetings.
Audio Converter AI brings transcription, text-to-speech, and audio conversion into one simple online workflow. Turn audio and video into accurate transcripts with 99.9% accuracy, create natural AI voiceovers with 1000+ voices, and convert files across popular formats in as little as 3 seconds. Built for creators, students, educators, and teams who want to work faster with audio. Convert audio, video, recordings, and online content into clear, editable transcripts. Audio Converter AI helps you extract text from lectures, meetings, interviews, podcasts, and videos with 99.9% transcription accuracy, speaker recognition, timestamps, and support for 200 languages. Use transcripts to create…from audioconverter.ai
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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