Speech recognition for files

Speech to Text App for Local Video & Audio

Convert spoken content from local video or audio into transcript and subtitle files. Use local AI recognition, choose up to 99 languages, and export TXT, SRT, VTT, LRC or CSV.

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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 speech recognition when the goal is editable text from spoken media. For a specific MP3, WAV or M4A source, follow the audio workflow; for subtitle files from video, use the video workflow.

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Where this workflow fits

Create transcript text and subtitle outputs from local speech files.
You need text output first, then decide whether it becomes notes, a transcript or subtitles.
You want to review generated files before using the result.
You prefer a desktop app rather than starting with a browser upload.
Choose from up to 99 recognition languages before generating subtitle or transcript files.

Recognition workflow

From recorded speech to transcript or subtitle file

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

01
Open a recording or video

Choose a lecture, interview, meeting, podcast, screen recording or course video from your computer.
02
Generate timestamped text

Voice2Sub recognizes the spoken parts and creates timestamped text output.
03
Review before relying on it

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

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
Reviewable text output
Optional subtitle export

Quality control

AI output still needs review

Speech recognition can miss names, accents, noisy sections or specialist terms. Voice2Sub keeps the workflow file-based so you can review generated files before sharing.

Review generated segments
Check names
Export after review

Use cases

Make spoken material easier to search and reuse

Turn speech inside recordings into text you can inspect, edit and export for search, notes or subtitles.

Interviews and voice notes
Meetings, lessons and lectures
Podcast and creator notes
Subtitle output for spoken media
Searchable transcript archives

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. You can export SRT, VTT, TXT, LRC or CSV after generating the output.

Recognize speech first, then choose the output

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