Transcrever
Converts audio and video files into editable text online
What it does
Envie um arquivo de áudio ou vídeo, revise a transcrição ouvindo a gravação e baixe o texto corrigido em TXT ou SRT.
Envie um áudio ou vídeo, revise a transcrição ouvindo a gravação e baixe TXT, DOCX, SRT ou VTT.
O Transcrever transforma a fala de um arquivo de áudio ou vídeo em texto editável. Adicione termos ao vocabulário, ouça os trechos e corrija texto, falantes e tempos antes de baixar TXT, DOCX, SRT ou VTT. Estamos confirmando quais formas de transcrição estão disponíveis. Você envia uma gravação compatível e escolhe o idioma falado. O Transcrever organiza a fala em trechos que podem ser ouvidos, corrigidos e exportados. Jornalistas e pesquisadores podem enviar uma entrevista gravada, conferir perguntas, respostas e nomes e só então separar os trechos que pretendem citar. Estudantes e professores podem transformar uma aula gravada em texto pesquisável, localizar uma explicação e corrigir a…from transcrever.net
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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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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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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