Feature details

Local AI subtitles, speech to text and batch export

Explore how Voice2Sub turns local video and audio files into subtitles, transcripts and export-ready text files with desktop AI speech recognition, batch workflows, CUDA/Metal support and optional English subtitle output.

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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.

Batch subtitle generation

Add multiple video or audio files and create subtitle or transcript outputs in one run, useful for courses, podcasts, client folders and publishing queues.

Video and audio to text

Turn local video, podcasts, interviews, meetings, lectures or voice recordings into transcript text and subtitle outputs from the same desktop workflow.

Speech to text and AI transcription

Use local Whisper AI recognition to create speech-to-text transcripts and subtitle files without uploading source media to a browser queue.

Up to 99 recognition languages

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

Export-ready review

Review generated files before publishing, then export subtitle, transcript or text output for video editing, captions, notes or documentation.

Optional English subtitle output

Generate English-only subtitle files, or keep the original subtitle output plus a separate English file for review, publishing or handoff.

Subtitle editor and file review

Review generated subtitles, open supported subtitle files, fine-tune timing with audio preview, and export edited files separately.

Hardware-aware builds

Use Windows x64, macOS Universal and Linux x64 builds, with CUDA on supported NVIDIA GPU systems and Metal on supported Apple Silicon Macs.

Metal acceleration for Apple Silicon

Voice2Sub uses Metal to take advantage of Apple Silicon performance on macOS, giving Mac users a fast native workflow for local AI subtitle generation and transcription.

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.
  • up to 99 recognition languages are available for multilingual subtitles and transcripts.
  • No website upload is required for normal subtitle or transcript creation.

Review and export

  • Subtitle editor and file review
  • 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 speech-to-text output, transcripts or subtitles.

  4. 04

    Review, edit and export

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

Workflows

Where it fits in daily transcription and subtitle work

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

  • AI subtitles for YouTube, Shorts, Reels and TikTok
  • Batch subtitle generation for folders of videos or audio recordings
  • Speech-to-text transcripts for interviews, meetings and lectures
  • Video to text and audio to text for notes, search and reuse
  • Podcast notes and interview transcripts
  • Starting points for multilingual subtitle work
  • Desktop processing for private recordings
  • Turning recorded content into articles or documentation
  • Preparing transcript text before publishing or handoff

Desktop media workflow

One desktop app for subtitles, transcripts and speech to text

Use Voice2Sub when you want local subtitle generation, AI transcription, video/audio to text, batch processing, up to 99 recognition languages, subtitle review, export-ready files and optional English subtitle output.

  • Speech-to-text and AI transcription for local video, audio and voice recordings.
  • Batch subtitle generation for multiple video or audio files.
  • Spoken-language selection for up to 99 recognition languages.
  • Optional English-only or separate Original + English subtitle output when the workflow needs it.
  • SRT, VTT, TXT, LRC and CSV exports for subtitles, transcripts and review workflows.
  • Built-in subtitle review for generated results and supported subtitle files, with timing cleanup and separate edited-file export.
  • CUDA on supported Windows/Linux systems and Metal on supported Apple Silicon Macs.