Desktop app Local AI subtitles No web upload for source media

Generate AI subtitles from local video and audio

Import video or audio from your computer, run local AI speech recognition, generate subtitles or speech-to-text transcripts, then export SRT, TXT, VTT, LRC or CSV. Voice2Sub is built for desktop subtitle workflows without uploading source media to this website. Optional English subtitle output is available when you need English-only or separate Original + English files.

  • Local subtitle generation from video and audio files
  • Desktop workflow without uploading source media to the website
  • Optional English subtitle output when a project needs it
  • Speech-to-text and AI transcription for local media files
  • Subtitle and transcript outputs such as SRT, TXT, VTT, LRC and CSV
  • Spoken-language selection for up to 99 recognition languages
Voice2Sub desktop app generating subtitle files from local media

A local workflow for subtitles, transcripts and export-ready files

Use Voice2Sub when a browser upload tool is not ideal for private media, long recordings, repeat subtitle jobs, speech-to-text transcripts, batch export or desktop editing workflows.

Local-first desktop processing

Import video or audio from your computer and run subtitle generation or transcription in the desktop app instead of starting with a website upload.

Batch subtitle workflow

Create subtitles for multiple video or audio files in one run when a project has a folder of clips, podcasts, lessons or client recordings.

Speech to text and AI transcription

Turn local video, audio or voice recordings into transcript files and timestamped subtitle outputs without uploading source media to the website.

Export formats editors expect

Review AI output, then export SRT, VTT, TXT, LRC or CSV for YouTube, web players, editing apps, course notes, podcasts or archives.

Subtitle generator + transcription app

Voice2Sub keeps the AI subtitle workflow strong while covering speech to text, voice recordings to text and AI transcription for local media files.

Built for local media

Handle video, audio, podcasts, interviews, lectures, meetings and voice recordings from your computer without uploading source files to this website.

Review before publishing

AI recognition is useful, but output should be checked. Review generated subtitle and transcript files before publishing or handing them to another editing tool.

Problem / solution

One app for subtitle and transcript work

Creators, educators, journalists, students and teams often need both captions and readable transcripts from the same source files.

The common problem

Browser tools that require uploads can be awkward for large videos, private interviews, long lectures, podcast archives and repeat desktop production work.

The Voice2Sub approach

Import local media, run Whisper AI recognition in the desktop app, review the result and export subtitle or transcript formats for the next workflow.

Video/audio formats

Open the file you already have

Voice2Sub is built for real-world files from phones, cameras, screen recorders, podcasts, meetings and editing apps, so most everyday video/audio files can start the subtitle workflow directly.

View detailed features

Video

  • MP4
  • MOV
  • MKV
  • AVI
  • WebM
  • and more

Audio

  • MP3
  • WAV
  • M4A
  • AAC
  • FLAC
  • OGG

Common sources

  • Phones
  • Cameras
  • Screen recorders
  • Podcasts
  • Meetings
  • Editing apps

How it works

From video/audio to subtitles or text in three steps

Start with the file you already have and choose the output you actually need after review.

  1. 01

    Import media

    Open a video, audio, meeting, podcast, interview, lecture or voice recording file from your computer.

  2. 02

    Generate with AI

    Run local speech recognition to create subtitles, transcript text or timestamped speech-to-text output.

  3. 03

    Review and export

    Check the AI result, then export SRT, VTT, TXT, LRC or CSV for publishing, editing, notes or archives.

Download Voice2Sub for Windows, macOS or Linux

Choose the build for your computer and create subtitle or transcript files locally from video or audio. Source media does not need to be uploaded to the website.

macOS Apple Silicon

Stable · Apple Silicon

1.1.2

Mac computers with Apple Silicon chips such as M1, M2, M3 or newer. Voice2Sub can use Metal acceleration on supported Apple Silicon Macs.

macOS on Apple Silicon, arm64.

Linux x64

Stable · x64

1.1.2

Choose the recommended .deb package for Ubuntu/Debian-based distros, or the portable .tar.gz archive for Fedora, Arch, Manjaro, openSUSE and other Linux distros.

Linux x64. Ubuntu, Debian, Linux Mint, Pop!_OS, Fedora, Arch, Manjaro, openSUSE and other distros.

Voice2Sub FAQ

Answers to practical questions before you download Voice2Sub.

What does Voice2Sub create?

Voice2Sub generates subtitle and transcript files from local video or audio, including formats such as SRT, TXT, VTT, LRC and CSV.

Can Voice2Sub create English subtitle output?

Yes. v1.1.2 adds optional English subtitle output. Use English only when you only need the English subtitle file, or Original + English when you want the original subtitle file plus a separate English file.

Do I need to upload my media to the website?

No. The website is for information and downloads. Source video and audio files are handled in the desktop app workflow.

Can Voice2Sub create subtitles for multiple files?

Yes. The batch workflow lets you add multiple video or audio files and create subtitle or transcript outputs in one run.

Is Voice2Sub a web-based subtitle tool?

No. Voice2Sub focuses on generating timestamped subtitle and transcript outputs. Use your preferred publishing tool or platform for final review.

Which platforms are supported?

Voice2Sub provides Windows x64, macOS Apple Silicon and Linux x64 builds. CUDA acceleration is available on supported Windows/Linux systems, and Metal acceleration is available on supported Apple Silicon Macs.

Version v1.1.2

Optional English subtitle output and smoother multilingual UI

Voice2Sub v1.1.2 adds optional English subtitle output, improves multilingual display, and makes local processing more stable across desktop platforms.

  • English-only or separate Original + English subtitle files
  • Smoother multilingual UI, CUDA setup, and subtitle processing
Read release notes