Desktop app Local AI subtitles No web upload for source media

Generate AI subtitles from local video and audio

Turn local video and audio into AI subtitles or speech-to-text transcripts in the desktop app, without uploading source media to this website. Review text and timing, open supported subtitle files, then export SRT, VTT, TXT, LRC or CSV; optional English output is available when needed.

  • 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 subtitle review in a desktop workflow.

Local-first desktop processing

Import video or audio from your computer and generate subtitles or transcripts in the desktop app without starting with a website upload.

Batch subtitle workflow

Create subtitles for a folder of clips, podcasts, lessons or client recordings in one repeatable desktop run.

Speech to text and AI transcription

Turn local video, audio or voice recordings into transcript files and timestamped subtitle outputs.

Built-in subtitle review and timing

Correct cue text, fine-tune timing with audio preview, resume sessions and export edited files separately.

Export formats editors expect

Export SRT, VTT, TXT, LRC and CSV files for publishing, review and downstream editing.

Recent results and editing sessions

Reopen generated output or saved drafts so review work can continue without rebuilding the project.

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, edit and export

    Check subtitle text, adjust timing when needed, and export SRT, VTT, TXT, LRC or CSV files.

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 Universal

Stable · Universal

One universal macOS build for both Apple Silicon and Intel Macs. Use this single DMG instead of choosing between separate CPU architectures.

macOS 11.0+ on Apple Silicon or Intel Mac.

Linux x64

Stable · x64

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 creates subtitle and transcript files from local video/audio: SRT, VTT, TXT, LRC, CSV and JSON. It also lets you review generated subtitles, adjust timing, open supported subtitle files and export edited subtitles as separate files.

Can Voice2Sub create English subtitle output?

Yes. Optional English subtitle output is available. You can create English-only subtitles, or keep separate Original + English files when both outputs are needed.

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?

Voice2Sub is a desktop app for local generation, review and subtitle editing. This website explains the product and provides downloads; your source media is processed inside the app, not uploaded here.

Which platforms are supported?

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