MP3 to Text Converter

Upload an audio file and get an accurate text transcript of everything spoken in it. ParseJet transcribes MP3, WAV, M4A, OGG, FLAC, and WebM audio with AI speech recognition — free to try, no signup needed.

Drop a file here or browse

Accepts MP3,WAV,M4A,OGG,FLAC files

Free — 3 requests/day, no signup. for 300 credits/month free.

How it works

Upload your audio

Drop an MP3 (or WAV, M4A, OGG, FLAC) file above. Files up to 25 MB are supported.

AI transcription

The speech is transcribed with AI speech recognition — natural speech, accents, and interviews all handled.

Copy your transcript

Copy the text for notes, articles, or captions — or call the API to transcribe audio inside your own product.

Key features

What makes this mp3 to text stand out.

All common audio formats

MP3, WAV, M4A, OGG, FLAC, and WebM — up to 25 MB per file.

Accurate AI speech recognition

Modern transcription models handle fast talkers, accents, and less-than-studio recording quality.

Multilingual

Transcribe speech in dozens of languages; pass a language hint via the API for best results.

Word-level timestamps

Need timings for captions? The API can return word-level timestamps with the with_timestamps option.

Readable output

The transcript comes back as clean, punctuated text — not a wall of lowercase words.

Cheap at scale

An audio transcription costs just 1 credit — the free account's 300 monthly credits go a long way.

Use cases

Common scenarios where this tool saves you time.

Interviews and podcasts

Turn recorded interviews and podcast episodes into text for editing, quoting, and show notes.

Voice memos to notes

Transcribe voice memos and dictations into text you can search, organize, and act on.

Captions and accessibility

Generate the transcript that subtitles and accessible versions of your audio content start from.

AI workflows

Claude and ChatGPT can't listen to audio files — transcribe first, then feed the text in for summaries and analysis.

Automate with the API

Use the same tool programmatically. Works with any language — just HTTP.

cURL

# Transcribe an audio file
curl -X POST https://api.parsejet.com/v1/parse/audio \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@interview.mp3" \
  -F "language=en"

# With word-level timestamps:
#   -F "with_timestamps=true"

Python

import httpx

resp = httpx.post(
    "https://api.parsejet.com/v1/parse/audio",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    files={"file": open("interview.mp3", "rb")},
    data={"language": "en"},
    timeout=120,
)
print(resp.json()["text"])  # the transcript

JavaScript

const formData = new FormData();
formData.append("file", audioFile); // MP3, WAV, M4A, OGG, FLAC
formData.append("language", "en");

const res = await fetch("https://api.parsejet.com/v1/parse/audio", {
  method: "POST",
  headers: { Authorization: "Bearer YOUR_API_KEY" },
  body: formData,
});
const { text } = await res.json();
console.log(text); // the transcript

Want to automate this?

ParseJet API gives you the same parsing power via a single HTTP endpoint. No ffmpeg, no poppler, no tesseract — just one API call.

curl -X POST https://api.parsejet.com/v1/parse/auto/url \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Read API Docs

Frequently asked questions

How do I convert an MP3 to text?

Upload the audio file above — ParseJet transcribes the speech with AI recognition and shows the transcript. For automation, POST to /v1/parse/audio.

What audio formats and sizes are supported?

MP3, WAV, M4A, OGG, FLAC, and WebM, up to 25 MB per file. For a typical MP3 that is several hours of audio.

How accurate is it?

Clear recorded speech transcribes with very high accuracy. Heavy background noise, multiple people talking over each other, or very low bitrates reduce accuracy.

Can I get timestamps for subtitles?

Yes. Pass with_timestamps=true to the API and the response includes word-level timings you can convert into SRT or VTT captions.

Can Claude or ChatGPT transcribe my audio directly?

No — neither accepts audio files as input. The standard workflow is to transcribe the audio first (here, or via the API) and then paste the text into the AI. Our guide "Can Claude transcribe audio?" covers this in detail.

Is it free?

Yes. You get 3 free transcriptions per day with no signup. An audio file costs just 1 credit; the free account includes 300 credits per month. Paid plans start at $19/month.

Start extracting text for free

No signup required. Parse your first file in seconds.

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