Speech recognition for files

Turn spoken audio in files into editable text

Voice2Sub is for recorded lectures, interviews, meetings, podcasts, screen recordings and videos where the spoken content needs to become text. Open the file in the desktop app, generate AI text with timing, review it, then choose a text or subtitle export.

For existing files, not live dictation or real-time microphone capture.

Speech to Text

Best when you need

  • General speech recognition
  • Lecture or webinar notes
  • Interview text for review
  • Podcast text drafts
  • A starting point for subtitles

A general speech recognition page, not an audio-format page

Use this page when the job is simply to recognize speech and make it editable. If the starting point is a specific MP3, WAV or M4A file, the audio workflow is more specific; if timing for a video matters, the video workflow is a better fit.

Download Voice2Sub

Where this workflow fits

  • You have spoken content inside an existing audio or video file.
  • You need editable text first, then decide whether it becomes notes, a transcript or subtitles.
  • You want to review names, punctuation and timing before using the result.
  • You prefer a desktop app rather than starting with a browser upload.

Recognition workflow

From spoken content to usable text

Keep the process simple: open a file, let AI recognize the speech, clean up the result, and export what the next step needs.

  1. 01

    Open a recording or video

    Choose a lecture, interview, meeting, podcast, screen recording or course video from your computer.

  2. 02

    Generate timed text

    Voice2Sub recognizes the spoken parts and creates editable text with time information.

  3. 03

    Review before relying on it

    Check names, technical terms, unclear speech, punctuation and segment breaks.

  4. 04

    Export the right format

    Save TXT for text, SRT/VTT for subtitles, LRC for timed lyrics or CSV for review.

Input and output

Works across common audio and video sources

Start with common media files such as MP4, MOV, MKV, WebM, MP3, WAV, M4A, AAC or FLAC. Output can stay as text or become subtitle files after review.

Broad intent

For spoken content across file types

Use this workflow when the source can be either audio or video and the first goal is readable text, not a particular export format.

  • Audio and video sources
  • Editable text result
  • Optional subtitle export

Quality control

AI output still needs a human pass

Speech recognition can miss names, accents, noisy sections or specialist terms. Voice2Sub keeps the result editable so you can check it before sharing.

  • Correct wording
  • Check time segments
  • Export after review

Use cases

Make spoken material easier to search and reuse

This page covers the broad need: turning speech inside files into text you can inspect, edit and export.

  • Turn recorded lessons into notes
  • Prepare interview quotes
  • Review meeting recordings
  • Create searchable media archives
  • Start a subtitle pass from speech text

Speech recognition FAQ

How is this different from audio to text?

Speech recognition describes the function: detecting spoken words. Audio to text is more specific to audio files such as MP3, WAV or M4A.

Can Voice2Sub read speech from video?

Yes. You can open supported video files, generate text from the spoken parts, review it, and export TXT or subtitle formats.

Does Voice2Sub record live dictation?

No. Voice2Sub focuses on audio and video files you already have on your computer.

Can the recognized text become SRT or VTT?

Yes. After checking text and timing, you can export SRT, VTT, TXT, LRC or CSV.

Recognize speech first, then choose the output

Download Voice2Sub to convert spoken content in existing files into editable text or subtitles on your computer.