IA en el dispositivo · WebGPU

Genera subtítulos y tradúcelos en local.

Convierte cualquier vídeo o audio en subtítulos SRT, VTT o ASS sincronizados, con editor a nivel de palabra y un segundo idioma, todo en tu navegador.

Detectando GPU…
Salida bilingüe
100 % privado
Por qué Estudio de Subtítulos

Subtítulos de calidad broadcast. Cero subidas.

Transcripción Whisper, traducción Marian y un editor de subtítulos real, todo en local.

100 % privado

Tu material nunca sale del dispositivo. Decodificación, transcripción y traducción son locales.

Acelerado con WebGPU

La transcripción se ejecuta en tu GPU cuando está disponible, con respaldo WebAssembly.

Tiempos por palabra

Los modelos Whisper con marcas de tiempo dan tiempos por palabra para subtítulos ajustados y karaoke.

Salida bilingüe

Traduce a un segundo idioma y exporta ambas pistas apiladas en el orden que quieras.

Cómo funciona

Del material a los subtítulos.

  1. 01

    Suelta un vídeo o audio

    Arrastra MP4, WebM, MP3, WAV o M4A: se decodifica en local, nada se sube.

  2. 02

    Whisper escribe los subtítulos

    El habla se transcribe en ventanas solapadas y luego se normaliza según reglas de emisión.

  3. 03

    Edita, traduce, exporta

    Corrige los subtítulos en el estudio, añade una traducción y descarga SRT, VTT, ASS, TXT o JSON.

Complete guide

About the subtitle generator

A free video-to-subtitle tool that listens to your audio with Whisper, writes timed cues, and can translate them into a second language — all inside the browser. It is built for creators, teachers, journalists and anyone captioning interviews, lectures, screen recordings or vlogs without handing raw footage to a cloud service.

How it works

The audio track is decoded with the Web Audio API and resampled to 16 kHz mono, then transcribed by a Whisper model running through Transformers.js. The file is walked in overlapping 30-second windows, so long recordings stream progress as they go and word-level timestamps stay accurate across window boundaries. Because the tool uses the timestamped Whisper builds, every cue also carries per-word timings, which drive the karaoke preview and the ASS karaoke export.

For translation, compact Marian (OPUS-MT) models are used, pivoting through English when the source and target have no direct model. Both the transcription and the translation models download once and are then cached, so a second run of the same language pair works offline.

Editing and quality

Generated cues are not set in stone. The studio pairs a live preview — with a broadcast-style subtitle overlay and a waveform timeline you can scrub — with a cue editor that supports inline text edits, splitting at the playhead, merging, duplicating, search & replace across both tracks, global time shifting, and full undo/redo. A quality panel flags every cue whose duration, reading speed, line length or overlap breaks normal subtitle conventions, and one click re-normalises the whole document.

Finished subtitles export as SRT, WebVTT, ASS, plain text or structured JSON, in the original language, the translation, or both stacked in either reading order.

Limits & requirements

The first run downloads model weights, which is the slowest step; afterwards they are cached. WebGPU (Chrome or Edge) makes transcription several times faster, and Safari or Firefox fall back to WebAssembly. Translation uses compact open models that are strong for general conversation and narration but should not be trusted for legal, medical or otherwise high-stakes wording. Very long recordings can exhaust memory on low-RAM devices; splitting the file is the workaround.

Privacy

Cloud captioning services receive your unedited footage and your scripts. Here nothing is uploaded: the video is decoded, transcribed and translated on your own machine, and the only files that leave the tab are the subtitles you choose to download.

Soporte

Preguntas resueltas.

No. El archivo se decodifica, transcribe y traduce en tu navegador. Solo el archivo de subtítulos que descargues sale de la pestaña.