AI-Powered MP3 to SRT and TXT

Turn MP3 recordings into subtitle files or editable plain text.

Drop audio or video here

MP3, WAV, M4A, MP4, MOV and more · up to 500 MB per file

Secure file encryptionAutomatic speaker identificationAI summaries and key points
Recognition settings
Audio language
Custom vocabularyImprove recognition of names and specialized terms

About this tool

Use ViiTor AI to convert MP3 to SRT or TXT, review timestamped text, and export results for subtitle or document workflows.

How it works

1

Add your media file

Upload the local audio or video file you want to turn into text.

2

Set the spoken language

Confirm the language in the recording and enable speaker identification when needed.

3

Review and export

Check the timestamped text, then export SRT or TXT.

Common use cases

MP3 subtitles and transcripts

Turn spoken material into searchable, editable, and shareable text.

Interviews and classes

Find important moments in long recordings without replaying the full file.

Content production

Turn spoken audio and video into drafts, notes, and editing material.

Transcription features

AI speech to text

Convert spoken audio or video into a transcript ready for review.

Speaker identification

Separate speakers in conversations to keep the record easier to follow.

Flexible exports

Export DOCX, TXT, or SRT according to the next step in your workflow.

From source media to usable text

ViiTor connects upload, speech recognition, transcript review, and document or subtitle export in one workflow.

Frequently asked questions

How does AI-Powered MP3 to SRT and TXT work?

Upload your file, choose the spoken language, review the completed transcript, and export the result.

Can I edit the transcript?

Yes. Review and revise the text against timestamps in the workspace.

Which export formats are supported?

Export DOCX, TXT, or SRT according to your downstream use.

Related transcription tools

Ready to turn your recording into text?

Upload a file and continue in the ViiTor transcription workspace.

Use the transcription tool