Feature details

Local AI subtitle, SRT/VTT and transcript features

Use this page to check how Voice2Sub imports media, handles common formats, runs recognition locally, prepares difficult audio and turns the result into subtitles, transcript or text.

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Desktop-first workflow

Private by default, flexible with files

Voice2Sub is built for source files that come from real work: phone clips, camera exports, screen recordings, podcasts, interviews, meetings and lessons. Processing happens in the desktop app instead of a browser upload queue.

Broad media import

Import MP4, MOV, MKV, AVI, WebM, MP3, WAV, M4A, AAC, FLAC, OGG and many more common files. Compatibility can still depend on codec details.

Video audio-track handling

Start from a video file. Voice2Sub works from the audio track inside the video, so you usually do not have to extract audio manually first.

Local Whisper AI recognition

Generate automatic subtitles and transcripts on your computer instead of uploading source media to a browser queue.

99 recognition languages

Prepare subtitles or transcript text for multilingual lessons, interviews, creator clips and internal material before human review.

Export-ready review

Review and correct the result, then export subtitle, transcript or text output for video editing, captions, notes or documentation.

Hardware-aware builds

Use the Windows x64 build, the Apple Silicon macOS build, and optional CUDA acceleration managed inside the Windows app on compatible NVIDIA GPU PCs.

Media compatibility

Import video/audio first, convert only when a file is unusual

Voice2Sub is designed for creator workflows where source files arrive from cameras, phones, screen recorders, podcasts, meetings and editing tools. Broad format support reduces the need to convert files before subtitle or transcript generation.

Video input

  • MP4, MOV, MKV, AVI, WebM and many other common containers.
  • Horizontal, vertical and screen-recorded clips from everyday tools.
  • The app can work from the audio track inside video files, so manual audio extraction is usually unnecessary.

Audio input

  • MP3, WAV, M4A, AAC, FLAC, OGG and other common audio files.
  • Podcasts, interviews, voice notes, lectures and meeting recordings.
  • Optional audio preparation helps when recordings are long, quiet or noisy.

Generation path

  • Whisper AI speech recognition runs locally on your computer.
  • 99 recognition languages are available for multilingual subtitles and transcripts.
  • No website upload is required for normal subtitle or transcript creation.

Review and export

  • Export subtitles after review for editing and publishing.
  • Export transcript or text for notes, search, documentation and summaries.
  • Use the result as a reviewable starting point; always check before publishing.

Process

Inside the workflow

Voice2Sub keeps the path clear enough for non-technical users while giving editors a predictable sequence from source file to output.

  1. 01

    Import a video or audio file

    Select a source file from your computer. Common camera, phone, screen recording, podcast and meeting formats are the intended workflow.

  2. 02

    Prepare audio when needed

    Use the standard path for clear recordings. Optional audio preparation is available when the source is long, quiet, noisy or uneven.

  3. 03

    Generate AI subtitles or transcript locally

    Voice2Sub prepares the audio as needed and runs speech recognition on your computer to create reviewable subtitles or a transcript.

  4. 04

    Review, edit and export

    Move the result into a video editor, captioning pass, course material, meeting notes, documentation or summary workflow.

Workflows

Where it fits in daily work

Voice2Sub is most useful when recorded speech needs to become readable, searchable or ready for editing.

  • AI subtitles for YouTube, Shorts, Reels and TikTok
  • Transcripts for courses, tutorials and lectures
  • Podcast notes and interview transcripts
  • Meeting notes and internal review material
  • Starting points for multilingual subtitle work
  • Desktop processing for private recordings
  • Turning recorded content into articles or documentation
  • Preparing text before proofreading and timing

Desktop subtitle workflow

A focused desktop app for subtitles and transcripts

Use Voice2Sub when you want to keep video/audio files on your computer, generate AI text, review the result and export the format your workflow needs.

AI Subtitle GeneratorVideo to TextAudio to TextYouTube Subtitle GeneratorSupported Formats
  • Windows x64 and macOS Apple Silicon builds; optional CUDA acceleration managed inside the Windows app.
  • Check the supported formats guide before long format-heavy projects.
  • Use the AI subtitle page for the complete generate, review and export workflow.