Six export formats · timed transcript

Audio to Text Converter Free

An audio to text converter free workflow should produce a usable file, not just a paragraph on screen. Choose media, edit the transcript, and export the format you need.

Drop audio or video here

MP3, WAV, M4A, MP4, MOV, WEBM and more

Intended output

Five starter transcription minutes are included for new accounts.

Workflow / 01

How to use this audio to text converter free

An artifact-first conversion path for people who already know the destination: plain text for notes, timed subtitles for video, structured data for systems, or a document for handoff.

  1. 01

    Select the source file

    Bring in supported audio or video and confirm its duration before spending credits.

  2. 02

    Choose the intended output

    Pick text, captions, structured data, or a document so the workspace explains the matching finish.

  3. 03

    Edit transcript structure

    Correct terms, speaker labels, and timing while listening to the original recording.

  4. 04

    Export the artifact

    Download TXT, SRT, VTT, JSON, PDF, or DOCX from the completed transcript.

Media file branching into transcript subtitle and document exportsGPT Transcribe field guide

Principle / 02

Audio-to-text is a workflow, not a file rename

An audio file stores sound; a transcript stores recognized language. The conversion therefore includes speech recognition, human review, and output formatting rather than simply changing a filename extension.

TXT works for lightweight copy, SRT and VTT carry timing for captions, JSON preserves structure, while PDF and DOCX are useful for reading and handoff. Select the artifact according to what happens next.

Caption production

Create timed SRT or VTT files for a video editor or publishing platform.

Document handoff

Deliver a searchable PDF or editable DOCX instead of an audio attachment.

Structured reuse

Export JSON when another application needs transcript segments rather than formatted prose.

Decision / 03

GPT Transcribe vs Happy Scribe vs Notta

Product pages checked 2026-08-12

CompareGPT TranscribeHappy ScribeNotta
InputsAudio, video, recording, and direct media URLUploaded audio and video plus integrationsUploaded media, recording, and meeting workflows
ArtifactsTXT, SRT, VTT, JSON, PDF, and DOCXTranscript and subtitle workflowsTranscript, summary, and sharing workflows
Best fitDirect file conversion and exportSubtitle teams and human-service optionsMeeting notes and multilingual collaboration

Decision guide: Choose GPT Transcribe when output format is the main decision and one transcript must feed captions, documents, or structured data. Happy Scribe is worth evaluating for subtitle operations and human services; Notta is more meeting- and collaboration-oriented.

Limits / 04

Know before you start

A trustworthy tool says where its result can fail, what stays on your device, and what deserves a human check.

Formats describe outputs, not accuracy

Changing the export type does not repair a misheard word; review the transcript first.

Speaker structure depends on the recording

Clear separation and known speaker counts help; overlapping voices may still need manual correction.

Answers / 05

Frequently asked questions

Which text formats can I download?

The workspace exports TXT, SRT, VTT, JSON, PDF, and DOCX after the transcript is ready.

Can the converter keep timestamps?

Yes. Timed transcript segments support SRT and VTT exports; review timing against the source before publication.

Does converting audio to text delete the audio?

No. The transcript is a separate result. Keep or remove source media according to your account and retention needs.