Audio to Text Converter

Convert any audio file to text with VexaScribe. Supports MP3, WAV, M4A, FLAC, OGG, AAC, WMA, and AIFF. Upload your recording and get accurate transcripts with timestamps and speaker detection — no format conversion needed.

No credit card requiredAll audio formats supportedSpeaker detection included

Supported formats:

MP3WAVM4AFLACOGGAACWMAAIFF

Convert any audio file to text: drag your MP3, WAV, M4A, FLAC, OGG, AAC, WMA, or AIFF into VexaScribe. The transcript appears in minutes, with speaker labels for up to 50 voices, timestamps, and export to TXT, DOCX, SRT, VTT, or JSON. Supports 99 languages via Whisper large-v3. Same page whether you searched audio to text, audio to txt, transcribe audio to text, audio file to text, or text from audio. 30 minutes free — no credit card.

Verified August 2026.

Convert Any Audio File to Text

VexaScribe is a universal audio to text converter that handles every major audio format. No matter how your audio was recorded — on a phone, in a studio, from a video call, or from a podcast app — just upload the file and get your transcript.

There's no need to convert your files first. Our AI transcription engine accepts MP3, WAV, M4A, FLAC, OGG, AAC, WMA, AIFF, and even video formats like MP4 and MOV. It extracts the speech, identifies speakers, and generates a timestamped transcript.

For format-specific guides, see our MP3 to text, WAV to text, M4A to text

Supported Audio Formats

.MP3

MP3

Most common audio format — universal compatibility, small files.

.WAV

WAV

Uncompressed audio — highest quality, larger files.

.M4A

M4A

Apple's compressed format — used by iPhone voice memos.

.FLAC

FLAC

Lossless compression — studio-quality without WAV file size.

.OGG

OGG Vorbis

Open-source format — used by Spotify and WhatsApp voice notes.

.AAC

AAC

Advanced Audio Coding — Apple's default for iTunes and streaming.

.WMA

WMA

Windows Media Audio — legacy format still common on older PCs.

.AIFF

AIFF

Apple's uncompressed format — professional audio workflows.

Sample Transcript

Export as:
TXTDOCXSRT
0:00Welcome to today's recording. We'll be discussing the latest developments in AI technology.
0:05The field has seen remarkable progress in natural language processing over the past year.
0:12Many organizations are now integrating these tools into their daily workflows.
0:18Let's explore some practical applications and their real-world impact.
Voice Recorders
Podcast Apps
Phone Apps
Video Editors

Affordable Pricing

30-minute file=~$0.15
1-hour file=~$0.30
10-minute file=~$0.05

Same pricing for all audio formats. No surcharge for lossless or large files.

View pricing plans

Manual Transcription vs AI Audio to Text

Manual Typing

  • Takes 4-6x the audio length
  • Constant pausing and rewinding
  • Fatigue leads to errors
  • No automatic timestamps
  • No speaker detection

Best for: Very short clips under 1 minute

VexaScribe AI

  • Ready in minutes, not hours
  • Upload and wait
  • Consistent accuracy
  • Timestamps included automatically
  • Speaker labels generated

Best for: Any audio file of any length

How Audio to Text Conversion Works

Upload Any Audio File

Drag and drop or browse to select your file. We support MP3, WAV, M4A, FLAC, OGG, AAC, WMA, AIFF, and video formats like MP4 and MOV.

AI Converts Speech to Text

Our AI engine analyzes your audio, converting speech to text with automatic speaker detection, language identification, and timestamp generation.

Download Your Transcript

Review and edit in our built-in editor. Export as TXT, DOCX, SRT, VTT, or JSON with all timestamps and speaker labels preserved.

Audio to Plain Text

Export your audio transcript as a plain text file. Works with any text editor, word processor, or note-taking app.

Universal formatSmall file sizeEasy to share

Audio to Word Document

Get a formatted Word document with speaker labels and timestamps. Ready for editing in Microsoft Word or Google Docs.

Professional formatEasy editingPrint-ready

Audio to SRT Subtitles

Generate SRT subtitle files from your audio. Perfect for adding captions to videos or creating synchronized transcripts.

Subtitle formatPrecise timingVideo-ready

Why Choose VexaScribe for Audio to Text?

Universal audio converter with professional transcription features

High Accuracy

Trained on diverse audio sources — podcasts, meetings, lectures, interviews, and phone calls. Handles accents and speaking styles reliably.

Fast Processing

A 1-hour audio file completes in 5-10 minutes regardless of format. WAV, MP3, M4A — all processed at the same speed.

Speaker Detection

Automatically identify and label different speakers across all audio formats. No extra cost for speaker diarization.

99 Languages

Convert audio to text in 99 languages. Auto-detection identifies the spoken language from any format.

Multiple Export Formats

Download transcripts as TXT, DOCX, SRT, VTT, or JSON. All export formats include timestamps and speaker labels.

Secure & Private

All audio files are encrypted during upload and processing. Delete your files anytime. We never share your recordings.

How to transcribe audio to text (4 steps)

Whether you searched how to transcribe audio, how to convert audio to text, or turn audio into text — the workflow is the same. Four steps, no software install.

  1. Upload your audio file — or paste a link. Drag the file into VexaScribe (MP3, WAV, M4A, FLAC, OGG, AAC, WMA, AIFF, or any video with audio: MP4, MOV, AVI, MKV, WebM). Or paste a Google Drive share link, a YouTube URL, or any direct HTTPS audio link. No format conversion needed.
  2. Let language auto-detection run. Whisper large-v3 auto-detects from 99 supported languages. Only set it manually if the file opens with music or long silence, or if the first spoken language differs from the majority.
  3. Wait for transcription. A 1-hour file typically takes 5-10 minutes. You'll see progress in the browser — no need to keep the tab open.
  4. Review speaker labels and export. Diarization labels up to 50 voices (best with 2-6 distinct speakers). Spot-check proper nouns and numbers against the audio — names are what AI transcription gets wrong most. Export as TXT (plain text), DOCX (with speaker labels and timestamps), SRT/VTT (for video subtitles), or JSON (word-level timestamps for developers).

How accurate is audio to text?

Modern Whisper-based transcription accuracy varies predictably by audio type. Here's what to expect:

Audio typeTypical accuracyNotes
Clean English (studio, podcast)92-95%Whisper large-v3 baseline per OpenAI paper
Accented English85-92%Non-native speakers, regional dialects
Noisy environments80-90%Background music, café ambience, wind
Technical vocabulary75-85%Medical, legal, engineering, brand names
Overlapping speakersVariableNeeds manual review; diarization is imperfect

For deep-dive accuracy analysis by model, see /how-accurate-is-whisper. For the technical foundations, see /what-is-automatic-speech-recognition.

Audio to text vs audio to transcript — same output, different framing. "Text" suggests plain content; "transcript" suggests structured document (speaker labels + timestamps + formatted paragraphs). VexaScribe exports both — plain TXT for text-only, DOCX for full transcript.

Audio to PDF, Word, or Notes?

Beyond plain text and SRT, VexaScribe covers the most common downstream document formats:

Audio to Word

Direct DOCX export with speaker labels and inline timestamps. Open in Microsoft Word, Google Docs, or Apple Pages.

Also serves convert audio to word, audio to word document, audio to word free.

Audio to PDF

Path: export DOCX from VexaScribe → Save as PDF from Word or Docs. Direct PDF export is on the roadmap.

Also serves convert audio to pdf.

Audio to Notes / Summary

For AI-summarized notes instead of full transcript, use /audio-to-notes.

Serves audio to notes, audio to summary.

Common ways people search for this

English is flexible about word order and vocabulary — the same tool serves lots of phrasings. You might have typed audio to text (dominant), audio to txt (abbreviation, same intent), audio file to text or audio files to text (singular / plural),text from audio or text from audio file (reverse word order),converter audio to text (noun / verb swap), audio to text converter,audio file to text converter, convert audio to text,convert audio file to text, turn audio into text, audio transcription,audio to transcript, or the how-to variant how to transcribe audio.

They all land here for a reason: the workflow doesn't change based on how the query was phrased. Upload the file, get the text out.

Audio to Text FAQ

Is there a free way to transcribe audio to text?

Yes. Three genuinely free options: (1) VexaScribe gives 30 minutes free on signup — no credit card, no watermark, full features. Enough for one short meeting or podcast episode. (2) Install OpenAI Whisper locally — 100% free forever, unlimited, offline; requires Python setup (~15 minute install). See /whisper-install-guide. (3) On Pixel devices, Google Recorder is free with on-device processing. For repeated free use of a hosted tool, look for per-month free tiers (Otter ~300 min/mo, Notta ~120 min/mo) — read the current limits before signup.

Is Google Transcribe free?

Partially. Google Recorder is free on Pixel devices with on-device processing (no cloud round-trip, works offline). Google Cloud Speech-to-Text (the developer API) offers 60 minutes/month free for 12 months, then per-minute pricing. Google Docs voice typing is free for live browser dictation into a Doc (Chrome desktop only, see /voice-typing-google-docs) but can't transcribe existing audio files. There's no single 'Google Transcribe' consumer product for uploading arbitrary audio files — you either use Recorder on Pixel or pay for Cloud STT.

Can ChatGPT transcribe an audio file?

Yes, with meaningful limits. ChatGPT accepts audio uploads (MP3, WAV, M4A, WebM) up to 25 MB per file — roughly 10-15 minutes at typical bitrates — on Plus, Pro, and Business tiers with GPT-4o. Accuracy is usable (~80-86%) but no timestamps, no speaker labels, and behavior isn't officially documented so it may change. ChatGPT's Record feature (macOS Plus / Pro / Business / Enterprise / Edu desktop only) captures live audio up to a 4-hour session cap. For files over 25 MB or when timestamps + speaker labels matter, dedicated transcription tools like VexaScribe or MacWhisper outperform. See full breakdown at /chatgpt-transcription.

How do I transcribe my audio to text?

Four steps: (1) Drag your audio file into VexaScribe — MP3, WAV, M4A, FLAC, OGG, AAC, WMA, AIFF, or any video with audio (MP4, MOV, AVI, MKV, WebM). Or paste a Google Drive share link, YouTube URL, or direct HTTPS audio link. (2) Let language auto-detection run (99 languages supported via Whisper large-v3). (3) Wait for transcription — a 1-hour file typically takes 5-10 minutes. (4) Review speaker labels (up to 50 voices), spot-check proper nouns, and export as TXT, DOCX, SRT, VTT, or JSON. First 30 minutes free.

What audio formats does VexaScribe support?

VexaScribe converts all major audio formats to text: MP3, WAV, M4A, FLAC, OGG, AAC, WMA, and AIFF. You can also upload video files (MP4, MOV, WEBM) and we extract the audio automatically. No format conversion needed on your end.

How do I convert audio to text?

Upload your audio file using drag-and-drop or the file browser. VexaScribe's AI processes the audio, identifies speakers, and generates a timestamped transcript. Review and edit in our built-in editor, then export as TXT, DOCX, SRT, VTT, or JSON.

How accurate is audio to text conversion?

Accuracy depends on recording quality. Clear audio with minimal background noise produces excellent results. Our AI is trained on diverse audio sources — podcasts, meetings, lectures, interviews — to handle various speaking styles and accents.

Can I convert large audio files to text?

Yes, VexaScribe supports audio files up to 5GB. A 1-hour audio file takes about 5-10 minutes to transcribe. For very long recordings, consider splitting into segments.

Does audio to text include speaker detection?

Yes, VexaScribe automatically identifies and labels different speakers in your audio. This works across all supported formats and is included at no extra cost.

Is there a free audio to text converter?

VexaScribe offers 30 free minutes to try the service — no credit card required. After that, plans start at $2/month for 200 minutes of audio transcription.

Note: Transcription accuracy depends on audio quality, background noise, speaker clarity, and accents. All supported formats produce comparable results when audio quality is similar.

VexaScribe converts any audio file to text — whether it's an MP3 podcast, a WAV studio recording, or an M4A voice memo. One tool for all your transcription needs.